GIS E-book Series-Pelatihan GIS-Komunitas GIS

Geovisi GIS E-book Series in Komunitas GIS

What is "Geovisi" ???

GeoVISI - GIS & IT Consultant

P.T. Geovisi Mitratama berkedudukan di Sidoarum Godean, Kabupaten Sleman, Provinsi D.I.Yogyakarta, Indonesia. Perusahaan yang bergerak di bidang Konsultansi Sistem Informasi Geografis (SIG) dan Teknologi Informasi.

Produk Kami meliputi :

PELATIHAN, berupa pelatihan SIG, pelatihan GPS (Global Positioning System), Pelatihan Survei Pemetaan, Pelatihan Penginderaan Jauh, Pelatihan Image Processing dan berbagai Pelatihan-pelatihan lainnya terkait dengan bidang kebumian.

PETA ONLINE, peta digital interaktif yang dapat diakses dari situs web ini.

PETA DAN CITRA DIGITAL, layanan pembelian dan pembuatan peta dan citra satelit, serta interpretasinya, disertai beberapa sampel yang dapat anda download.

VEHICLE TRACKING SYSTEM, layanan instalasi alat pelacak posisi dan pengembangan aplikasinya yang dapat dipasang pada kendaraan anda, cocok untuk armada taksi, kapal tanker, mobil-mobil distributor barang, dan pengawasan posisi mobil anda.

SOFTWARE DEVELOPMENT, berupa layanan pembuatan dan pengembangan aplikasi GIS dan IT (e-learning, hospital administration, dan berbagai sistem informasi) baik berbasis web ataupun desktop.

PT. GEOVISI MITRATAMA
Alamat : Jl. Sidoarum no 20 Bantulan RT 06/RW 04 Sidoarum Godean Sleman Yogyakarta 55564.
Telpon/Fax : (0274)798306
Email : info@geovisi.com

Saat ini Geovisi (PT. GEOVISI MITRATAMA) hanya berkantor di Jl. Sidoarum no 20 Bantulan RT 06/RW 04 Sidoarum Godean Sleman Yogyakarta 55564


source information : http://geovisi.com/
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What is "GIS E-book Series" and "Komunitas GIS" ???

GIS E-book Series merupakan kumpulan tulisan e-book yang di-share di dalam milist atau komunitas GIS.

Berikut kumpulan Geovisi GIS E-book Series :
GPS:
1. Geovisi GIS Textbooks Series GPS
2. BEKERJA DENGAN GPS-Komunitas GIS
3. TRACK DAN MARK LOKASI DENGAN GPS
Perpetaan :
4. Membaca Koordinat Peta
GIS dan WEBGIS :
5. Pengantar mapping dengan arcview
6. GIS Programming Using MapInfo
7. MODUL MAPINFO
8. PCD ARCGIS GEOVISI dan PCD ARCGIS GEOVISI-2
9. ALOVMAP

Komunitas GIS ialah Komunitas atau Group ini diperuntukkan bagi rekan-rekan yang akan, sedang, atau pernah belajar bersama mengenai Sistem Informasi Geografis bersama dengan Geovisi Mitratama.

Silahkan bergabung ke dalam mailinglist/google group Geovisi untuk berbagi bersama dan saling berdiskusi mengenai persepsi dan konsep SIG (sistem informasi geografis) di
http://groups.google.com/group/komunitas-gis

Ocean Color Web Feature - Orinoco Flow

Orinoco Flow

Ocean Color Web Feature - Orinoco Flow

The Orinoco is one of the longest rivers in South America at 2,140 km, (1,330 miles). Its drainage basin, sometimes called the Orinoquia (especially in Colombia) covers 880,000 km², 76.3% in Venezuela with the rest in Colombia. The Orinoco and its tributaries are the major transportation system for eastern and interior Venezuela and the llanos of Colombia. However, since river navigation is declining in every country, many of the old waterways along the Orinoco watershed are now an obstacle to land communications rather than a useful commercial route.

Map of Lower Orinoco 1897

Orinoco Flow

The Orinoco River regularly sends a plume of water into the Caribbean in the fall. This has already been documented in the early days of satellite ocean color measurement using CZCS data. Researchers in the area have remarked that this year's plume is unusually large and occurs at an unusual time prompting some to suggest that the Amazon River may instead be the source of this plume.

You can see the green water extending northward past Puerto Rico and the Virgin Islands in the above image. Move your pointer over the image to see computed chlorophyll concentrations in the plume. Larger chlorophyll and true color images are also available.

source information : http://oceancolor.gsfc.nasa.gov/

---------------------------------------------------------------------------
Salam Penginderaan Jauh untuk Kelautan bagi Indonesia tercinta...


Aji Putra Perdana
- sok ocean, sok iso, sok tenan, sok atuh -
-------------------------------------------------------------------------------------
Perdana, Aji Putra, (2006). Kajian Suhu Permukaan Laut Berdasarkan Analisis Data Penginderaan Jauh dan Data Argo Float di Selatan Pulau Jawa, Pulau Bali, dan Kepulauan Nusa Tenggara. Skripsi. Yogyakarta: Fakultas Geografi, Universitas Gadjah Mada. ( download )
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Perdana, Aji Putra, (2006). Study Of Sea Surface Temperature Based On Analysis Of Remotely Sensed Data And Argo Float Data In The South Of Java Island, Bali Island And Nusa Tenggara Archipelago. Skripsi. Yogyakarta: Faculty of Geography, Gadjah Mada University. ( download )

SeaDAS - Level-2 processing MODIS

What is SeaDAS

The SeaWiFS Data Analysis System (SeaDAS) is a comprehensive image analysis package for the processing, display, analysis, and quality control of ocean color data.

Supported satellite sensors are
MODIS, SeaWiFS, OCTS, and CZCS.

SeaDAS Primary Functionalities

Processing programs:

SeaWiFS:	L1A, L1B, L2, L3, and SMI (Standard Mapped Image) processing Map projection of L1, L2, and L3 files L1 and L2 Browse product generation L1A to L0 program for renavigation Interactive L1 coastline registration and L2 QC L1 subscene extraction
MODIS:	L0 to L1A Direct Broadcast processing L1A Geolocation processing L1A subscene extraction L1A to L1B processing L1B to L2 processing L2 and L3 binning SMI processing Map projection of L2 and L3 files
CZCS:	L1A to L1B processing L1 to L2 processing L2 and L3 binning SMI processing
OCTS:	L1A to L1B processing L1B to L2 processing L2 and L3 binning SMI processing

SeaDAS Tutorials

• Sample SeaDAS tutorial scenarios
• General Display Program (seadisp) tutorial

SeaWiFS Data Product Generation Programs:

l1agen_seawifs	Generate L1A file from L0 (HRPT) file
l1bgen	Generate L1B file from L0 (HRPT) file
l2gen,0	Generate L2 file from L1A (GAC, LAC, HRPT) file
l2bin/l3bin	Generate L3 space- or time-binned files from L2 files
smigen	Generate L3 SMI standard mapped product from L3 binned data
browse	Generate L1A browse (Band 865nm) file or L2 browse (chlor_a) file
bl1map	Generate projected L1A HDF file
bl2map	Generate projected L2 HDF file
bl3map	Generate projected L3 HDF file
l0regen_seawifs	Generate L0 file from L1A (HRPT) file

SeaWiFS Data Extraction and Quality Control Programs:

l1aextract_seawifs	L1A and L2 file extraction
register	L1A coastline registration and warping

MODIS Data Product Generation Programs:

l1agen_modis	Generate L1A file from L0 (PDS) file
l1bgen_modis	Generate L1B file from an L1A and GEO file
l2gen,4	Generate L2 file from L1B file
l2bin/l3bin	Generate L3 space- or time-binned files from L2 files
smigen	Generate L3 SMI standard mapped product from L3 binned data

l2gen

Description: This program performs Level-2 processing on MODIS, SeaWiFS, OCTS, or CZCS data and generates Level-2 geophysical products by applying atmospheric corrections and bio-optical algorithms to the sensor data. The input data levels required for l2gen processing are as follows:

• MODIS: input must be an Aqua or Terra L1B file
• SeaWiFS: input may be either an L1A or L1B file
• OCTS: input must be either a NASDA-format L1B file or SIMBIOS-format L1B file
• CZCS: input must be a CZCS L1B file

For a thorough description of the full capabilities of l2gen and details on the UNIX command-line user interface, please refer to the L2GEN User's Guide.

Please read more about l2gen..

Level-2 Products Selection Window:

Description: This window allows the user to select Level-2 output products for the output file specified in the l2gen main window.

**************************************** download SeaDAS****************************

SeaDAS 5.3 released
MODISL1DB 1.5 released

-end-

source informations :
http://oceancolor.gsfc.nasa.gov/seadas/
http://oceancolor.gsfc.nasa.gov/seadas/doc/l2gen/l2gen.html
http://oceancolor.gsfc.nasa.gov/seadas/features.html
http://oceancolor.gsfc.nasa.gov/seadas/help.html


** best regards **

^^ good luck to so7 ^^
will you give me smile :) ???

Aji Putra Perdana
http://ajiputrap.blogspot.com/
http://bumiwisata.blogspot.com/

SeaWIFS/MODIS data download

SeaWIFS/MODIS data download

SeaWIFS Background

The purpose of the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) Project is to provide quantitative data on global ocean bio-optical properties to the Earth science community. Subtle changes in ocean color signify various types and quantities of marine phytoplankton (microscopic marine plants), the knowledge of which has both scientific and practical applications. The SeaWiFS Project will develop and operate a research data system that will process, calibrate, validate, archive and distribute data received from an Earth-orbiting ocean color sensor.
(http://oceancolor.gsfc.nasa.gov/SeaWiFS/BACKGROUND/SEAWIFS_BACKGROUND.html)
-------------------------------------------------------------------------------------------------

Topic Announcements / Ocean Color Announcements / SeaWiFS Data Available for Download from (http://oceancolor.gsfc.nasa.gov/forum/oceancolor/topic_show.pl?tid=85)

By @gene Date 2004-05-04 20:20

1) seawifs data now available from the oceancolor web

although it has taken a little longer than we had initially thought, we are
happy to announce that it is now possible to download and/or order seawifs data
(up to data collected 14 days ago, the required embargo period) directly from
the oceancolor web browser along with the modis/aqua data that is currently
being provided. this service is provided in addition to the continuing access
and user services for seawifs data that are provided by the goddard daac.

2) you still need to be an authorized seawifs user

as with data access from the daac, you must be an authorized seawifs data
user and have a password. for those of you who already are authorized users,
just request a password directly from a link in the lower right portion
on the oceancolor web page ( http://oceancolor.gsfc.nasa.gov ) to use this
option. if you are not currently an authorized researcher, there is also a
link on that web page that you can use to request to become one.

upon authorization, new users will be provided with a password. if you
are not sure if you are on the authorized list or if you want to verify the
e-mail address at which you are listed at (information that we require),
you can check at:

http://daac.gsfc.nasa.gov/CAMPAIGN_DOCS/OCDST/SeaWiFS_auth.html

3) improved seawifs 1 kilometer data product available

we are currently producing an improved high resolution seawifs data product
(MLAC = Merged Local Area Coverage) derived from the 1 kilometer seawifs
hrpt and recorded lac data that reduces geographic overlap from multiple
receiving stations and maximizes data quality. both level-1 and level-2 data
are available for this new data set along with the same products derived
from the gac (4 kilometer) data. we are currently processing the entire
MLAC archive to create a complete set of level-1 and level-2 products and
the entire mission should be available by early next week. currently,
1997 is online with 1998 and the rest of the mission following close behind.

4) geographic subsetting for seawifs data

in addition to being able to order the full level-1 and level-2 files,
you can also now request a geographic extract from the full sized file to
only get the data for your specific region of interest. this option only
works through the order and ftp option (rather than the direct download from
the web browser which provides you with the entire file). once you've used
the browser to find all the potential files for the time frame and general
region of interest and hit the button, you'll be given the option
of extracting the data products into a smaller geographic box. it will be
these extracts (all fully supported in seadas) that will be staged for you
to download.

5) updated seawifs calibration model

the seawifs data that you can get from the oceancolor web is slightly
different from the data archived at the goddard daac in that we have
switched to a revised calibration table which better handles the temporal
degradation of the instrument in the very early and later parts of the mission.
a comprehensive description of this change in the level-1 calibration can be
found under the "validation" section of the oceancolor web. our analyses
show that the differences are relatively minor which is why we did not
believe it necessary to replace all the data that are currently archived
at the daac based on reprocessing #4 at this time. as was discussed at the
recent science team meeting, we anticipate an official reprocessing of the
entire seawifs mission either later this year or early next which will most
likely include a number of additional parameters based on the recommendations
of the ocean color community.

6) help available

for those of you who are not familiar with all the functions of the oceancolor
web browse and order tool, there is an extensive help function available.
we will be keeping our eyes on the oceancolor forum for feedback and questions
regarding this new feature.

-----------------------------------end--------------------------------------------

To download SeaWIFS/MODIS Data from OceanColor, you may click this link/url :
http://oceancolor.gsfc.nasa.gov/cgi/browse.pl?sen=am

best regards,
Aji Putra Perdana
http://ajiputrap.blogspot.com/
http://gisresetutor.blogspot.com/

Map World Forum 2009 : Conference Proceedings

Conference PowerPoint Presentations of Map World Forum 2009

Map World Forum, (February 10 - 13, 2009, Hyderabad, India)

Planet Earth has become susceptible to disasters since the past few decades because of various infrastructure development activities, which has resulted in immense strain on available natural resources. Keeping in view this background, the theme chosen for the Forum is “Geospatial Technologies for Sustainable Planet Earth”. The factors affecting the sustainability of Planet Earth are all interrelated and in order to combat them, we need to have a tool, which can associate and analyse them in a seamless manner. Geospatial technologies, because of their geospatial information dependent nature, provide the only way to look at these issues from a holistic viewpoint. Today, there exists a notable lack of geographic data and literature on observed changes, with marked scarcity in developing countries. The need of the hour is to build an exhaustive geospatial database that is going to serve as an enabling platform for the various stakeholders of this community. Map World Forum will strive to address this urgent need in order to safeguarded our beautiful planet for our future generations. ( Press Release : Map World Forum: A Promise for Sustainable Planet Earth (March 12, 2008))

http://www.gisdevelopment.net/proceedings/index.htm
In its continued dedication towards bringing synergism and coordination of various stakeholders in the Geospatial field, GIS Development collaborates and brings to all its visitors, full proceedings of conferences and events across the globe online (for free).

Conference PowerPoint Presentations of Map World Forum 2009

Map World Forum, (February 10 - 13, 2009, Hyderabad, India)

Inaugural

• M. P. Narayanan
  
  

Guest Address

• Dr Jane Goodall
  
  

Plenary Sessions

• Plenary 1 - Geospatial Technologies and Sustainable Development
  
  Plenary 2 - Geospatial Technology Development & Trends
  
  Plenary 3 - Geospatial for Public Sector
  
  
• Plenary 4 - Geospatial for Sustainanble Infrastructure Development

Symposiums

• Petrolueum & Mining
  
  
• Rural Development
  
  

Seminars

• Coastal Zone Mapping for Disaster Management
  
  
• Spatial Data Infrastructure
  
  
• Urban Development
  
  

Forums

• Developers Forum
  
  
• Editors Forum
  
  
• Education Forum
  
  
• Science Forum
  
  

Location Summit

• Vision Session
  
  
• Location @ Enterprise
  
  
• Location Based Services
  
  
• Fleet Management
  
  
• Navigation
  
  
• Technical Track
  
  

Technical Sessions

• Disaster Mangement
  
  
• Emerging Trends & Technologies

Emerging Trends & Technologies

• The Use of GIS (Geodatabase) in Combating Dengue Fever in Indonesia Phase II Project
  Aji Putra Perdana
  
  
• Mass Markets Geomatics
  Aamin Kassam
  
  
• Utilisation of Leica ADS40 Digital Sensor data in the State of NSW, Australia: an Assessment of the requirements of Software technology and Methods for Rapid Response Mapping Applications
  Dr Dipak Paudyal

• Enterprise GIS and Business GIS
  
  
• Environment Management
  
  
• Image Processing
  
  
• Infrastructure and Utilities
  
  
• Natural Resource Management
  
  
• Open Source and Web GIS
  
  
• Remote Sensing
  
  
• Surveying & Mapping
  
  
• Urban Planning and Management

In its continued dedication towards bringing synergism and coordination of various stakeholders in the Geospatial field, GIS Development collaborates and brings to all its visitors, full proceedings of conferences and events across the globe online (for free).

Please feel free to download..we can learn from MapWorldForum 2009 Conference Proceedings - Powerpoint Presentations....

Largest congregation of geospatial professionals, experts and leaders was held in Hyderabad from February 10 - 13, 2009 discussed applications of geospatial technologies to create a Sustainable Planet Earth.


Best Regards,

Aji Putra Perdana
GIS and Data Management - Dengue Control Project The City of Yogyakarta
http://ajiputrap.blogspot.com/
http://gisresetutor.blogspot.com/

Masking Citra Aqua/Terra MODIS

Masking Citra Aqua/Terra MODIS

Masking dilakukan dengan tujuan untuk membedakan daerah daratan, lautan dan daerah yang berawan.

The purpose of masking is to distinguish the land, sea and cloudy areas.

Proses masking daratan dan lautan dilakukan pada file Land/Sea Mask, menggunakan fasilitas Masking pada software ENVI 4.x.

This masking process using Land/Sea Mask file from MOD03....(Terra MODIS) atau MYD03....(Aqua MODIS) and processed using ENVI 4.x

Proses masking awan darat dan awan laut dilakukan pada saluran 3, dimana :
Untuk tutupan awan :
- Nilai batas awan laut adalah 0.174
- Nilai batas awan darat adalah 0.2

To do masking process land cloud and sea cloud use band 3 MODIS, where:
Threshold Value for sea cloud is 0.174
Threshold Value for land cloud is 0.2


Langkah-langkah pemrosesan masking citra MODIS menggunakan software ENVI 4.x

Below are the steps in masking process for Land/Sea Mask MODIS data with ENVI 4.x :

1. Open MOD03....(Terra MODIS) atau MYD03....(Aqua MODIS) from mainmenu ENVI:
File -> Open External File -> Generic Format -> HDF
2. Choose your file and choose Land/Sea Mask
3. Choose Map -> Georefence MODIS (to georeferencing land/sea mask data)
4. Follow the instruction..choose latitude and longitude...Choose Geographic Lat/Lon, Perform Bow-Tie Correction = YES, and then click OK
5. Choose your output file name and location..wait the process...(Building MODIS Image Geometry...Georeferencing MODIS with Bow-Tie Correction), and then you will have your land/sea mask image georeferenced in Available Bands List
6. Open the Image, and move your mouse, click on Land and see the value...
7. to build Mask..use tool from Main Menu choose Basic Tools -> Masking -> Build Mask
8. choose Display#1 (display that showing the Georeferenced Land/Sea Mask Data), click OK
9. Mask Definition, choose Option - Import Data Range (Choose Georeferenced land/sea mask filename)
make two mask definition : first, min = 0 and max = 0
then, min = 3 and max = 7
10. After that, click Aplly and u will get the Mask.....

best regards
geografi..putra bumi..
http://ajiputrap.blogspot.com/

Mapping paddy rice agriculture in South and Southeast Asia using multi-temporal MODIS images

Mapping paddy rice agriculture in South and Southeast Asia using
multi-temporal MODIS images

Xiangming Xiao a,*, Stephen Boles a, Steve Frolking a, Changsheng Li a, Jagadeesh Y. Babu a,b,
William Salas c, Berrien Moore III a
a Institute for the Study of Earth, Oceans and Space, University of New Hampshire, Durham, NH 03824, USA
b Central Rice Research Institute, Cuttack, 753006, Orissa, India
c Applied Geosolutions, LLC, Durham, NH 03824, USA
Received 27 April 2005; received in revised form 12 August 2005; accepted 1 October 2005

Abstract

In this paper, we developed a new geospatial database of paddy rice agriculture for 13 countries in South and Southeast Asia. These countries have ¨30% of the world population and ¨2/3 of the total rice land area in the world. We used 8-day composite images (500-m spatial resolution) in 2002 from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor onboard the NASA EOS Terra satellite. Paddy rice fields are characterized by an initial period of flooding and transplanting, during which period a mixture of surface water and rice seedlings exists. We applied a paddy rice mapping algorithm that uses a time series of MODIS-derived vegetation indices to identify the initial period of flooding and transplanting in paddy rice fields, based on the increased surface moisture. The resultant MODIS-derived paddy rice map was compared to national agricultural statistical data at national and subnational levels. Area estimates of paddy rice were highly correlated at the national level and positively correlated at the subnational levels, although the agreement at the national level was much stronger. Discrepancies in rice area between the MODIS-derived and statistical datasets in some countries can be largely attributed to: (1) the statistical dataset is a sown area estimate (includes multiple cropping practices); (2) failure of the 500-m resolution MODIS-based algorithm in identifying small patches of paddy rice fields, primarily in areas where topography restricts field sizes; and (3) contamination by cloud. While further testing is needed, these results demonstrate the potential of the MODIS-based algorithm to generate updated datasets of paddy rice agriculture on a timely basis. The resultant geospatial database on the area and spatial distribution of paddy rice is useful for irrigation, food security, and trace gas emission estimates in those countries.

~ 2005 Elsevier Inc. All rights reserved.

Keywords: Enhanced vegetation index; Land surface water index

District-level spatial distribution of paddy rice sown area derived from national agricultural statistical data (described in Section 3.4). Rice area is displayed as the percent of the district land area dedicated to paddy rice in Southeast Asia.

Geospatial Imaging for Climate Change

Geospatial Imaging for Climate Change presented in Plenary Sessions : Geospatial Imaging Technologies and Sustainable Development
Map World Forum 2009 - February 10, 2009 HICC, Hyderabad, India

Dr Shailesh Nayak, Secretary
Ministry of Earth Sciences, Government of India, India

The changes in atmospheric concentration of green house gases and aerosols, in solar radiation and land surface properties have altered the energy balance of the climate system of the earth. The increase in green house gases is primarily due to fossil fuel use, land use changes and agriculture. In order to understand the causes of change and their likely impact, the observation needs to encompass atmosphere (cloud properties, radiative energy fluxes, precipitation, aerosol properties, wind, humidity, temperature, etc), atmospheric chemistry, solar radiation, land (land cover, land use changes, vegetation dynamics, soil moisture, etc), ocean (temperature, salinity, phytoplankton, sea surface wind, sea surface topography) and cryosphere (land ice, sea ice, snow cover). During the last thirty years, host of satellites have provided very useful data on many of the above mentioned parameters. Microwave radiometers and optical multispectral data have provided vital data on changes in ice cover on polar regions and glacier retreat on Himalayas. Altimeters provided data on sea-level-rise and on ocean circulation especially during the last fifteen years. Thermal radiometers provided data on rise of sea surface temperature. The growth and decay of ozone hole over the years has been monitored by satellites. It is necessary to evolve a measurement strategy (overlap, sampling, calibration and data continuity) to improve accuracy and scientific content for future satellites.

PENGOLAHAN CITRA DIGITAL MENGGUNAKAN SOFTWARE ARCGIS 9.x

PENGOLAHAN CITRA DIGITAL MENGGUNAKAN SOFTWARE ARCGIS 9.x

Cuplikan kata pengantar :

" ArcGIS merupakan software GIS yang “LUAR BIASA”. Alhamdulillah...telah tertuangkan lagi Pengolahan Citra Digital Menggunakan Software ArcGIS 9.2. Sedikit tulisan ini merupakan cuplikan dan editan dari tulisan sebelumnya ........................

Pengolahan citra digital pada umumnya menggunakan software-software pengolahan citra, seperti ENVI, ErMapper, Erdas, Ilwis, dll.Tetapi seperti halnya ArcView dengan ekstensi Image Analyst, software ArcGIS ini juga mempunyai kemampuan dalam pengolahan data raster dengan fasilitas ArcToolbox-nya yang memiliki bermacam-macam Tools dan ekstensi yang disediakan ArcGIS.

Tulisan ini sekedar sharing pengalaman dan semoga dapat bermanfaat. .......... "


Berikut daftar isi dari series E-book posting in GIS community - Komunitas GIS group/milist mengenai PENGOLAHAN CITRA DIGITAL MENGGUNAKAN SOFTWARE ARCGIS 9.x.

PENGOLAHAN CITRA DIGITAL MENGGUNAKAN SOFTWARE ARCGIS 9.x (PCD_ARCGIS_GEOVISI.pdf upload in komunitas gis Aug 16 2008), berisi :
A. DISPLAY CITRA
B. KOMPOSIT CITRA
C. DISPLAY NILAI PIXEL CITRA
D. DISPLAY NILAI RENTAN BAND/SALURAN CITRA
E. GEOREFERENCE CITRA
F. KLASIFIKASI MULTISPEKTRAL CITRA
- KLASIFIKASI UNSUPERVISED
- KLASIFIKASI SUPERVISED

PENGOLAHAN CITRA DIGITAL MENGGUNAKAN SOFTWARE ARCGIS -lanjutan (PCD_ARCGIS_GEOVISI-2.pdf upload in komunitas gis Dec 30 2008), berisi :
A-F. Rangkuman dari sebelumnya (PENGOLAHAN CITRA DIGITAL MENGGUNAKAN SOFTWARE ARCGIS 9.x)
G. KOREKSI RADIOMETRIK
# Ekstensi Spatial Analyst
# Map Algebra
H. MOSAIK CITRA
I. PEMFILTERAN (FILTERING)
J. EKSTRAKSI DATA – PEMOTONGAN CITRA
K. TRANSFORMASI CITRA
- Penajaman Citra
- Principal Components Analysis
- Band Ratio
- Indeks Vegetasi

Thanks to inigis yang telah share this e-book via blog nya...it's really nice,,,thanks from me and geovisi :)

PCD_ARCGIS_GEOVISI.pdf upload in komunitas gis Aug 16 2008
PCD_ARCGIS_GEOVISI-2.pdf upload in komunitas gis Dec 30 2008


Semoga bisa bermanfaat :)

Best Regards,
Aji Putra Perdana
http://ajiputrap.blogspot.com/
Komunitas GIS

Learn GIS and Remote Sensing is Luar Biasa :)

in GeoVisi we learn and do short course or training with 3 :
"Do by Learning..."
"...learn by doing"
"Do by learning, learn by doing"

More complete information, please contact :
Informasi lebih lengkap mengenai Pelatihan SIG, GPS, Pengolahan Citra Penginderaan Jauh dapat menghubungi :

P.T. Geovisi Mitratama
Alamat/Address :
Jl. Sidoarum no 20 Bantulan RT 06/RW 04 Sidoarum Godean Sleman Yogyakarta 55564.
Telpon/Fax : (0274)798306
Email : info@geovisi.com

please join this group to share about gis and remote sensing :
http://groups.google.com/group/komunitas-gis

MODIS (Aqua/Terra)-Image Processing (2)

MODIS (Aqua/Terra)-Image Processing (2)

continues from previous entry...http://ajiputrap.blogspot.com/modis-image-processing.html

" temperature brightness " or " temperature brightness value "

Aqua MODIS image processing for sea surface temperature using two bands : band 31 and band 32 (that have processed for corrected radiance value).
We need to convert radiance value both bands (31 and 32) to Brightness Value using “Planck”:

Tb = c2/(Vi * ln (c1/(Vi5 * radiance) + 1))
where Tb = Brightness Value (K),
c1 = Constanta radiance (1.1910659x108 [W m -2sr-1 (µm-1 )-4 ])
c2 = Constanta radiance (1.438833 x 104 [K µm])
Vi = central wavelength

below are table for central wavelength - Aqua/Terra MODIS Bands..

For AQUA MODIS =
Band 20 : 3.7803
Band 22 : 3.9720
Band 23 : 4.0617
Band 31 : 11.0263
Band 32 : 12.0424

For TERRA MODIS =
Band 22 : 3.9719
Band 23 : 4.0567
Band 31 : 11.0073
Band 32 : 12.0020

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nice to share

Aji PP

MODIS (Aqua/Terra)-Image Processing (1)

MODIS (Aqua/Terra)-Image Processing (1)

this is just a little bit sharing... :)

you may or have been read :
http://ajiputrap.blogspot.com/search/label/Aqua
http://ajiputrap.blogspot.com/search/label/Aqua%2FTerra%20MODIS
http://ajiputrap.blogspot.com/search/label/MODIS

After we download MODIS (Aqua/Terra) Level 1B Radiance Calibrated (1KM, 500m and 250m, opr you just download 1KM only (its already consist of 250m and 500m that aggregated to 1km) and Level 1A Geolocation (for extracting LAND SEA MASK).

The next step is to open HDF MODIS data in Image Processing Software, such as ENVI...
in this post i would like to share about open HDF MODIS DATA, View HDF DATASETS and other steps in image processing using software ENVI 4.x.

1. In ENVI 4.x u may open HDF MODIS DATA through two ways:
a. Open HDF MODIS data from:
File -> Open External Files -> General Format -> HDF

U will see HDF Dataset Selection, and then choose Datasets (that to be opened)
Click OK
Choose BSQ and click OK (repeated until 4 times, depend on number of dataset opened)

b. Or u may open directly from
File -> Open Image File

Will open all modis data from MYD021KM: Reflectance and Radiance Bands (1- 19 and 26) also Emissive Bands (20-25 and 27-36)

Your MODIS DATA will opened in ENVI 4.x

2. View HDF Datasets of MODIS
from ENVI 4.x main menu..choose Basic Tools->Preprocessing->Data Specific Utilities -> View HDF Datasets Attributes
and then choose your MODIS DATA...
u can read my previous posting :
http://ajiputrap.blogspot.com/2008/12/modis-hdf-hierarchical-data-format.html

3. Radiometric Correction
Radiometric Correction in ENVI use Band Math (ENVI main menu, choose Basic Tool -> Band Math)

Radiance bands calculated using this formula :
Rb = R_scaleb ( SIb – R_offsetsb)
where :
Rb = Radiance of band-b
R_Scaleb = Radiance scale of band-b
SIb = Sign Integer of band-b
R_offset¬sb = Radiance offsets of band-b

Radiance value of sensor zenith calculated using this formula :
Rz = R_scalez * iz * pi/180
dimana :
Rz = Radiance value of sensor zenith
R_scalez = Radiance scale of sensor zenith
iz = Sensor zenith


Reflectance Bands calculated for visible and thermal infrared (1 – 19 and 26 bands) with this formula:

Refb = Ref_Scaleb * (Bb - Ref_offsetsb)

where: Refb = Reflectance of band- b
Ref_Scaleb = Reflectance scale
Bb = Band -b
Ref_offsetsb = Reflectance offset band- b

4. applied formula or algorithm (for Sea Surface Temperature or Chlorophyll-a)

MODIS can help us to detecting Chlorophyll-a (Chlor-a) with formula or algorithm from Carder et al. :

Chlor-a=(10^(0.2818-(2.783*alog10(B10/B12))+(1.863*((alog10(B10/B12))^2))-
(2.387*((alog10(B10/B12))^3))))

where : B10 = Reflecance of Band 10
B12 = Reflecance of Band 12
- above is the formula of Chlor-a in Band Math of ENVI.

Aqua MODIS image processing for sea surface temperature using two bands : band 31 and band 32 (that have processed for corrected radiance value).
We need to convert radiance value both bands (31 and 32) to Brightness Value using “Planck”:

Tb = c2/(Vi * ln (c1/(Vi5 * radiance) + 1))
where Tb = Brightness Value (K),
c1 = Constanta radiance (1.1910659x108 [W m -2sr-1 (µm-1 )-4 ])
c2 = Constanta radiance (1.438833 x 104 [K µm])
Vi = central wavelength

You can use band math ENVI 4.x and put this formula:
(1.438833*10000)/(11.0263*(alog((1.1910659*100000000)/(11.0263^5*b31))/1))
where :
b31 = band 31
to determine or get information of Sea Surface Temperature you may use this algorithm from Brown and Minnet :
SPL =
1.152+0.96*(B1-273)+0.151*(B1-B2)*(B3-273)+2.021*(B1-B2)*(1/COS(B4)-1)

where
B1 = Brightness Value of band 31
B2 = Brightness Value of band 32
B3 = Brightness Value of band 20
B4 = Radiance Value of sensor zenith



=========
Regards,

Aji Putra Perdana

Pelatihan SIG/Kursus SIG

Pelatihan SIG/Kursus SIG

GeoVISI - GIS & IT Consultant

P.T. Geovisi Mitratama berkedudukan di Sidoarum Godean, Kabupaten Sleman, Provinsi D.I.Yogyakarta, Indonesia. Perusahaan yang bergerak di bidang Konsultansi Sistem Informasi Geografis (SIG) dan Teknologi Informasi.

Salah satu produknya ialah PELATIHAN, berupa pelatihan SIG, Global Positioning System, Survei Pemetaan, Penginderaan Jauh, Image Processing dan lainnya terkait dengan bidang kebumian.

Segala keunggulan Sistem Informasi Geografis (SIG),Global Positioning System, Survei Pemetaan, Penginderaan Jauh, Image Processing dan lainnya terkait dengan bidang kebumian sudah berkembang pesat dalam berbagai aplikasinya.

Teknologi yang berbasis komputer menuntut tersedianya sumberdaya manusia yang baik dalam penguasaan Sistem Informasi Geografis (SIG), Global Positioning System, Survei Pemetaan, Penginderaan Jauh, Image Processing, hardware, software, manajemen data, dan analisa guna mendukung pemanfaatan SIG dan Penginderaan Jauh sesuai bidangnya.

Oleh karena itu, P.T. Geovisi Mitratama hadir menawarkan Pelatihan, berupa pelatihan SIG, Global Positioning System, Survei Pemetaan, Penginderaan Jauh, Image Processing dan lainnya terkait dengan bidang kebumian.

Informasi lebih lengkap mengenai Pelatihan SIG dapat menghubungi :
P.T. Geovisi Mitratama
Alamat :
Jl. Sidoarum no 20 Bantulan RT 06/RW 04 Sidoarum Godean Sleman Yogyakarta 55564.
Telpon/Fax : (0274)798306
Email : info@geovisi.com
http://groups.google.com/group/komunitas-gis

Pengolahan Citra Aqua/Terra MODIS dengan ENVI 4.x

Pengolahan Citra Aqua/Terra MODIS dengan ENVI 4.x...

Beberapa waktu yang lalu terkirimkan sebuah komentar mengenai bagaimana pengolahan citra Aqua/Terra MODIS oleh M.R.
-----------
M.R telah membuat komentar baru pada posting Anda "Citra Aqua/Terra MODIS - Pengolahan Citra"
------------===============================================

kemudian melalui ini ajiputrap berbagi :)
:
Pengolahan Citra Aqua/Terra MODIS dapat memanfaatkan software ENVI 4.x mulai dari pembacaan datanya yang dalam format HDF, kemudian koreksi geometrik dan koreksi bow-tie dari citra Aqua/Terra MODIS (bisa dengan modis tool untuk ENVI juga, sila baca di postingan2 sebelumnya).

Telah di-upload tulisan rigkas pengolahan Citra Aqua/Terra MODIS dengan ENVI 4.x
sila unduh di :
pengolahan citra modis dengan envi.pdf
Petunjuk atau tulisan ringkas mengenai pengolahan citra aqua/terra modis menggunakan software envi 4.x

File-file lain yang bisa diunduh di http://www.esnips.com/web/perdana09-article :
- SeaDAS_4_AquaMODIS.pdf
Petunjuk pengolahan citra aqua/terra modis dengan software SeaDAS
- Langkah Order Citra MODIS.pdf
langkah-langkah order citra modis, cara pesan dan download citra MODIS via ladsweb
- LANDSAT UNTUK SEDIMEN.pdf
Pengolahan Citra Landsat dengan ErMapper 6.4 untuk identifikasi Sedimentasi
- SKRIPSI_AJI.pdf
Pengolahan suhu permukaan laut berdasarkan data argo float dan penginderaan jauh (nooa avhrr dan aqua modis) di samudera hindia. Argo float diolah menggunakan ocean data view. Aqua Modis diolah menggunakan SeaDAS. NOAA-AVHRR menggunakan ermapper dan envi

==============================
Beberapa postingan sebelumnya:
http://ajiputrap.blogspot.com/2008/09/download-citra-modis.html
http://ajiputrap.blogspot.com/2008/09/modis-tools.html
http://ajiputrap.blogspot.com/2008/07/aquaterra-modis.html
http://ajiputrap.blogspot.com/2008/07/aqua-modis-vegetation-index.html
----------------------------------------------------------------------------

Salam,
Aji Putra Perdana

ArcGIS Pengolahan Citra-Image Processing

ArcGIS is a complete system for authoring, serving, and using geographic information. It is an integrated collection of GIS software products for building and deploying a complete GIS wherever it is needed—on desktops, servers, or custom applications; over the Web; or in the field.

ArcGIS merupakan software SIG yang juga memiliki kemampuan dalam pengolahan data raster (citra satelit penginderaan jauh).
------------------------------------------------------------------------------------
......................
Pengolahan citra digital pada umumnya menggunakan software-software pengolahan citra, seperti ENVI, ErMapper, Erdas, Ilwis, dll.Tetapi seperti halnya ArcView dengan ekstensi Image Analyst, software ArcGIS ini juga mempunyai kemampuan dalam pengolahan data raster dengan fasilitas ArcToolbox-nya yang memiliki bermacam-macam Tools dan ekstensi yang disediakan ArcGIS.

Tulisan ini ...... "

di atas merupakan cuplikan dari kata pengantar pada GIS Textbooks "PENGOLAHAN CITRA DIGITAL MENGGUNAKAN SOFTWARE ARCGIS 9.2" dan "kelanjutannya"
yang diupload di milist komunitas gis.

GIS Textbooks "PENGOLAHAN CITRA DIGITAL MENGGUNAKAN SOFTWARE ARCGIS 9.2" yang diupload di milist komunitas gis.

silahkan bergabung ke dalam mailinglist/google group geovisi untuk bersama-sama sharing tentang sig (sistem informasi geografis)dan remote sensing (penginderaan jauh) di
http://groups.google.com/group/komunitas-gis

untuk download GIS Textbooks "PENGOLAHAN CITRA DIGITAL MENGGUNAKAN SOFTWARE ARCGIS 9.2"
http://groups.google.com/group/komunitas-gis/files/
ada file pdf : PCD_ARCGIS_GEOVISI.pdf

dan ada lagi file pdf pengolahan citra dengan arcgis kelanjutannya yaitu :
PCD_ARCGIS_GEOVISI-2.pdf



sumber :
http://ajiputrap.blogspot.com/2008/10/arcgis-for-image-processing.html
http://groups.google.com/group/komunitas-gis/files

nice to share :)
keep study everyday :)

salam hangat,

Aji Putra Perdana
"gis'er cakep 'n raster maniax"

MODIS Toolkit and Ocean Color Plug-ins from ENVI

MODIS Toolkit and Ocean Color Plug-ins from ENVI*


What is ENVI?

ENVI is the premier software solution for processing and analyzing geospatial imagery used by GIS professionals, scientists, researchers, and image analysts around the world. ENVI software combines the latest spectral image processing and image analysis technology with an intuitive, user-friendly interface to help you get meaningful information from imagery.

-------------------------------------------------------------------------------------
Toolkits & Plugins
Quickly and easily access toolkits and plug-ins that will empower your IDL and ENVI applications. Each listing here includes code samples and documentation to help you jump start your programming or application development.

The MODIS Conversion Toolkit

The MODIS Conversion Toolkit (MCTK) is plugin for ENVI that can ingest, process, and georeference every known MODIS product (currently 143) through your choice of an easy-to-use interactive widget interface or a fully-accessible programmatic interface.
Download >

ENVI Plugin for Ocean Color (EPOC)

EPOC is an HDF file conversion, reprojection, and georeferencing utility for data sets that are currently distributed through the OceanColor web site or created using the SeaWiFS Data Analysis System.
Download > Documentation >

source information : http://www.ittvis.com/DownloadsHome/toolkits.aspx

Modis - HDF (Hierarchical Data Format )

MODIS (or Moderate Resolution Imaging Spectroradiometer) is a key instrument aboard the Terra (EOS AM) and Aqua (EOS PM) satellites.

MODIS data in HDF-EOS format (Hierarchical Data Format - Earth Observing System). Hierarchical Data Format (HDF) is the standard data format for all NASA Earth Observing System (EOS) data products. HDF is a multi-object file format developed by The HDF Group.
--
see previous posting about modis tools
--
MODIS Tools is helping us to read, extract or subset, convert HDF-EOS data.
1. MODIS Reprojection Tool (MRT)
a software tool for reading data files in HDF-EOS format, specify a geographic subset or band subset as input to processing, perform geographic transformation to a different coordinate system/cartographic projection, write the output to file formats other than HDF-EOS
Platforms : Unix (Sun, SGI), Windows (9x, 2000, NT, XP), and Linux
2. QA Tools
provides links to QA tools developed for science team and user community
Platforms : Unix
3. HDF Tools
The NCSA HDF Home Page - contains links to an array of HDF support tools and information
Platforms : specific to tool selected
4. HDF-EOS Web-Based Subsetter (HEW)
can extract a subset of any grid or swath data file that is in HDF-EOS format Platforms : independent
5. MODIS Swath-to-Grid Toolbox
a set of software tools that reads HDF-EOS files containing MODIS swath data and produces flat binary files containing gridded data in a variety of map projections Platforms : Unix, with a standard C compiler, also requires Perl 5.0 or higher and IDL 5.0 or higher
6. HDF-EOS to GeoTIFF converter (HEG)
converts many EOS products written in HDF-EOS to GeoTIFF, native binary or HDF-EOS Grid, also has re-projection, resampling, subsetting, stitching (mosaicing), and metadata creation capabilities
Platforms : Linux , Macintosh , SGI , Sun, Windows
7. MODIS Land Tile Calculator
converts latitude/longitude decimal degrees to MODIS Tile grid and Line/Sample coordinates and vice-versa
Platforms: online tool

---
more informations :
- http://modis.gsfc.nasa.gov/
- http://modis-land.gsfc.nasa.gov/tools.htm
- http://nsidc.org/data/hdfeos/
-------------------------------------------------------------------------------------
Membuka atau mengintip isi dari dataset HDF Modis baik Aqua MODIS maupun Terra MODIS, jika menggunakan software berbayar ENVI 4.x bisa dilakukan dengan melalui fasilitas yang tersedia di ENVI 4.x yaitu:
Basic Tools --> Preprocessing --> Data-Specific Utilities --> View HDF Dataset Attributes
kemudian akan muncul window HDF Selection, tentukan HDF dataset yang akan kita lihat, misal Dataset #5 dari data MODIS MYD02HKM...... :
====================================================================================
Dataset #5: Earth View 250M Aggregated 500M Reflective Solar Bands Scaled Integers
Dims: UINT (2708 x 4060 x 2)

Attribute 5-1: "long_name"
"Earth View 250M Aggregated 500M Reflective Solar Bands Scaled Integers"

Attribute 5-2: "units"
"none"

Attribute 5-3: "valid_range"
0, 32767

Attribute 5-4: "_FillValue"
65535

Attribute 5-5: "band_names"
"1,2"

Attribute 5-6: "radiance_scales"
0.02753444, 0.00927813

Attribute 5-7: "radiance_offsets"
-0.00000000, -0.00000000

Attribute 5-8: "radiance_units"
"Watts/m^2/micrometer/steradian"

Attribute 5-9: "reflectance_scales"
0.00005396, 0.00002950

Attribute 5-10: "reflectance_offsets"
-0.00000000, -0.00000000

Attribute 5-11: "reflectance_units"
"none"

Attribute 5-12: "corrected_counts_scales"
0.12497330, 0.12497330

Attribute 5-13: "corrected_counts_offsets"
-0.00000000, -0.00000000

Attribute 5-14: "corrected_counts_units"
"counts"
====================================================================================
Informasi di atas, seperti radiance dan reflectance baik scale dan offset itulah yang akan digunakan untuk koreksi radiometrik dari data MODIS yang akan kita gunakan.
------------------------------------------------------------------------------------

Selain menggunakan software image processing ENVI 4.x, kita juga bisa menggunakan software-software viewer data HDF, misalnya HDF Explorer
HDF Explorer ini dibuat oleh

Space Research Software, Inc, headquartered in the heart of the Silicon Prairie in Urbana-Champaign, Illinois, is a leading company in HDF related visualization tools. Its flagship product HDF Explorer, is a widely acclaimed software tool that allows an easy browsing of HDF data files.
-------------------------------
HDF Explorer is a data visualization program that reads the HDF, HDF5 and netCDF data file formats. HDF Explorer runs in the Microsoft Windows operating systems. Check this page (http://www.space-research.org/) for version updates, current version is 1.4.025
--------------------------------
HDF (Hierarchical Data Format) is a library and platform independent data format for the storage and exchange of scientific data. HDF is developed and supported by the HDF group
====================================================================================
Membuka atau mengintip isi dari dataset HDF Modis baik Aqua MODIS maupun Terra MODIS, jika menggunakan software HDF Explorer :
====================================================================================
====================================================================================
more information about HDF Explorer : http://www.space-research.org/

***********************************************************************************
salam rsgis,

Aji Putra Perdana
http://ajiputrap.blogspot.com/

ArcGIS-ArcScan, Raster to Vector

Ketika membaca judul di atas, pasti kita sudah mengetahui bahwa software GIS yang dikembangkan oleh ESRI ini (ArcGIS 9.x) mempunyai ekstensi yang cukup banyak dan salah satunya ialah ArcScan.

ArcScan mempunyai kemampuan "scanning" data raster ke vektor dalam kata lain konversi data raster ke vektor (raster to vector).

Sebelum mengenal ArcScan, biasanya dulu untuk konversi data raster ke vektor menggunakan R2V.

http://www.raster-vector.com/
http://www.algolab.com/r2v.htm
http://www.ablesw.com/r2v/

Proses raster to vector ini merupakan salah satu proses input data dalam GIS, yakni proses digitasi secara otomatis...

Sebuah presentasi dari Ron Briggs, UTDallas (GISC 6381 GIS Fundamentals) mengenai GIS-Data Preparation and Integration mengulas dengan baik mengenai persiapan dan integrasi data dalam GIS yang diantaranya termasuk proses vector to raster dan juga raster to vector.

-------------------------------------------------------------------------------------
Dalam wikipedia http://en.wikipedia.org/wiki/Raster_to_vector dikatakan bahwa raster to vector:
In computer graphics, vectorization refers to the process of using software and hardware technology/services to convert raster graphics into vector graphics.
Popular applications:
* In computer-aided design (CAD) drawings (blueprints etc.) are scanned, vectorized and written as CAD files in a process called paper-to-CAD conversion or drawing conversion.
* In geographic information systems (GIS) satellite or aerial images are vectorized to create maps.
* In graphic design and photography, graphics and photographs can be vectorized, which is often done through a vectorizer plugin for Adobe Photoshop or Illustrator, but can also be done manually. Graphics can be vectorized for better usage and resizing, often without a change in appearance. Vectorizing a photograph will likely change its appearance from "photographic" to "painted" or "drawn"; the photograph may even be transformed into a silhouette. One function of vectorizing a photograph is to be able to integrate it into a geometric design such as a logo.
-------------------------------------------------------------------------------------

Proses raster to vector atau disebut juga vectorization juga ada dalam pemrosesan data GIS untuk membuat peta, dimana data raster tersebut dapat bersumber dari citra satelit penginderaan jauh atau dari peta hasil scan.

Proses vektorisasi baik menggunakan ArcGIS-ArcScan, Raster to Vecktor maupun software konversi raster to vector lainnya melalui 3 tahapan proses yaitu:
1. skeletonizing (or thinning): to reduce rasters to unit width
2. vector extraction: to identify lines
3. topological reconstruction: recreates topological structure
-------------------------------------------------------------------------------------

Dalam presentasi dari Ron Briggs, UTDallas (GISC 6381 GIS Fundamentals) dituliskan mengenai konversi data dari vektor dan raster sebagai berikut:
Data Format Conversion Implementation in ArcGIS 9

1. From Raster To Raster
Arctoolbox>Conversion Tools>To Raster> Raster To Other (multiple)
Converts one or more raster dataset formats supported by ArcGIS to a GRID, IMAGINE, TIFF, or geodatabase raster dataset format
Can also be accomplished thru ArcCatalog, Export function

2. From Raster to Vector
Arctoolbox>Conversion Tools>From Raster> Raster to Point
Raster to Polygon
Raster to PolyLine
Converts raster datasets in GRID, IMAGINE, or TIFF formats to shapefiles or feature classes.
Results may not be what you expect!
Can also be accomplished thru ArcCatalog, Export function

3. From Vector to Raster
Arctoolbox>Conversion Tools>To Raster> Feature to Raster
Converts any shapefile, coverage, or geodatabase feature class containing point, line, or polygon features to a raster dataset
Can also be accomplished thru ArcCatalog, Export function.

4. From Vector to Vector
Use ArcCatalog, Export function for conversions between shapefiles, gdb feature classes, coverages and CAD
ArcGIS Data Interoperability Extension
for the most comprehensive set of conversions
--------------------------------------------------------------------------------------
Petikan kesimpulan yang cukup menarik dalam presentasi dari Ron Briggs ialah
Most of the effort in most GIS projects involves data preparation and integration!
--------------------------------------------------------------------------------------
Kembali lagi ke ArcGIS-ArcScan, Raster to Vector
--------------------------------------------------------------------------------------
sekedar berbagi...
untuk 'mendigitasi secara otomatis' di ArcGIS atau melakukan proses raster to vector di ArcGIS,
bisa dengan raster tracing dan automatic vectorization mempergunakan ekstensi ArcScan.

Beriktu langkah-langkah mempergunakan ekstensi ArcScan dari ArcGIS untuk proses digitasi secara otomatis atau proses konversi raster to vector (Vectorisasi).
-------------------------------------
Aktivasi Ekstensi ArcScan- ArcGIS
- Jalankan ArcMap
- Kemudian dari menu utama pilih View - Toolbars - ArcScan (dan pilihlah ArcScan)
- Akan muncul toolbar ArcScan

Raster Tracing
ArcScan membantu kita untuk membuat feature baru dari peta/data image hasil scan.
- Jalankan ArcMap
- Aktifkan ArcScan
- Tambahkan layer Raster(peta scan) kita
- Atur simbologi data raster kita, klik kanan pada data layer raster pilih Properties
- Pilih tab Symbology pada layer properties
- Pilih Unique Value (untuk menampilkan data ke dalam 2 nilai yakni 0 (nol) hitam dan 1 (1) putih)

Sesi Editing
- Aktifkan menu Editor, dari menu utama pilih View - Toolbars - Editor
- pada menu editor tersebut, pilih Editor - Start Editing untuk memulia sesi editing

Atur Raster Snapping Option
- Pilih tombol Edit Raster Snapping Option
- Atur maximum line width value ke 7. Klik OK

- Klik menu Editor - Snapping...
- klik tanda plus (+) pada raster, pilih Centerlines dan Intersection

Membuat feature garis dengan tracing raster cells
- Klik pada tombol Vectorization Trace di ArcScan
toolbar.
- Gerakkan pointer pada intersection(Perpotongan), dan klik untuk memulai tracing

Membuat feature poligon dengan tracing raster cells
- Pilih feature poligon yang sudah disiapkan
- pada edit toolbar, pilih Target layernya feature poligon
- Klik pada tombol Vectorization Trace di ArcScan
toolbar.
- Gerakkan pointer pada lokasi yang akan di-tracing

Selesai Editing
- Klik pada Editor - Stop Editing
- Klik yes untuk menyimpan hasil editing kita
----------------------------------------------------------------------------------------
Problematika dalam digitasi otomatis atau vektorisasi via scanning

Automated creation of vector data via scanning very problematic:
- docs must be clean
- lines at least .1mm
- complex line work adds error
- lines shouldn’t be broken with text.
- text may be interpreted as lines
- automatic feature detection (road versus railroad) difficult
---------------------
ESRI’s ArcScan product is available, designed for interactive, semi-automated raster to vector conversion.
----------------------
Other vendors offer specialized conversion software; software R2V (Raster2Vector)
--------------------------------------------------------------------------------------
Sekedar daftar software konversi raster to vektor, di luar dari ArcGIS dengan ArcScan nya..dapat dilihat list software nya di Comparison of raster to vector conversion software dari
http://en.wikipedia.org/wiki/List_of_raster_to_vector_conversion_software
--------------------------------------------------------------------------------------
ArcGIS-ArcScan membantu kita dalam mengkonversikan data raster ter-scan (scanned raster images) ke vector-based GIS layer. Bisa dengan raster tracing dan automatic vectorization.

tertarik bebaca lebih lanjut, bisa kunjungi situs ESRI
An overview of ArcScan
Tutorial ArcScan-ArcGIS
www.esri.com/arcscan
--------------------------------------------------------------------------------------

nice to share :)

salam gis,

Aji Putra Perdana
- free gis'er -
http://ajiputrap.blogspot.com/

Pengolahan Citra NOAA-AVHRR

Pengolahan Citra NOAA-AVHRR

Pengolahan Citra NOAA-AVHRR, kelanjutan dari kisah sebelumnya
http://ajiputrap.blogspot.com/2008/11/penginderaan-jauh-kelautan-suhu.html

Pengolahan citra satelit NOAA-AVHRR sebagai salah satu citra satelit penginderaan jauh dengan resolusi spasial yang rendah dan mempunyai kelebihan yakni resolusi temporal yang daily.

Stasiun bumi NOAA menerima data AVHRR dari satelit dalam bentuk data mentah yang dikenal dengan data HRPT (High Resolution Picture Transmission) secara rutin 2 – 4 kali/hari. Oleh karena itu, siklus harian NOAA cukup baik untuk mengamati perubahan yang terjadi di laut dengan resolusi spasial yang terbatas mencapai 1,1 km. Cakupan citranya cukup luas dengan lebar pandang mencapai 2399 km pada setiap citra global yang dihasilkan.

Saluran-saluran radiasi inframerah termal dari NOAA-AVHRR, berfungsi untuk mendeteksi radiasi termal yang dipancarkan oleh permukaan bumi. Berdasarkan hubungan antara suhu dengan intensitas emisi maka data AVHRR dapat dimanfaatkan untuk mengukur suhu permukaan laut. Pengolahan citra NOAA-AVHRR untuk dapat diekstraksi informasinya sebagai data suhu permukaan laut melalui berbagai tahapan pengolahan citra digital dengan memanfaatkan software pengolahan citra digital.

Dalam hal ini software yang digunakan cukup unik, karena memadukan berbagai software yang ada. Software pengolahan citra digital ER-Mapper 6.4 untuk mempersiapkan citra NOAA-AVHRR hingga menjadi citra yang siap diolah; ENVI 4.0, untuk mengolah citra NOAA-AVHRR dan Aqua MODIS hingga menjadi citra yang siap untuk dijadikan peta; ArcGIS 9.0 untuk proses pengkelasan dan layout sehingga menjadi peta jadi.

-----------------------------------------------------------------------------------
Apa itu NOAA dan AVHRR???

NOAA merupakan singkatan dari National Oceanic and Atmospheric Administration, adalah badan induk dari Dinas Udara Amerika Serikat (U.S. Weather Service).

Lembaga ini mengoperasikan satelit seri NOAA yang masing-masing membawa sensor Advanced Very High Resolution Radiometer (AVHRR).

Data AVHRR dapat diperoleh dalam 3 format :
• High Resolution Picture Transmission (HRPT)
• Local Area Coverage (LAC)
• Global Area Coverage (GAC)

*more informations :
- http://noaasis.noaa.gov/NOAASIS/ml/avhrr.html
For additional information regarding the AVHRR, examine the NOAA-KLM User's Guide or the USGS AVHRR site

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Mas Cakep sekedar berbagi :) mengenai pengolahan citra satelit NOAA-AVHRR saat melakukan skripsi yang berjudul “Kajian Suhu Permukaan Laut Berdasarkan Analisis Data Penginderaan Jauh dan Data Argo Float di Selatan Pulau Jawa, Pulau Bali, dan Kepulauan Nusa Tenggara” di tahun 2006 telah diuji oleh tim penguji yang terdiri dari dosen pembimbing, dosen penguji dan dosen tamu penguji “guest star”.

Dalam skripsi tersebut menggunakan dua citra satelit penginderaan jauh resolusi rendah yaitu NOAA-AVHRR (resolusi spasial 1,1 km) dan Aqua MODIS (resolusi spasial 1km).

Kala itu data citra satelit penginderaan jauh NOAA-AVHRR yang digunakan yaitu Citra satelit NOAA-AVHRR yakni Level 1B NOAA-17 perekaman bulan Desember 2004 hingga Februari 2005 untuk daerah penelitian (selatan dari pulau jawa, bali dan kepulauan nusa tenggara.,,,,ya..samudera hindia...waow,,,)

Perolehan data yang digunakan dalam skripsi tersebut, selain dari download data via internet (untuk citra Aqua MODIS dan data Argo Float), data Citra NOAA-AVHRR yakni citra satelit NOAA-17 dari bulan Desember 2004 hingga Februari 2005 diperoleh dari Biro Riset dan Observasi Kelautan (BROK), Perancak-Bali.
Terima kasih banyak untuk Pak Realino dan kawan-kawan di SEACORM, Biro Riset dan Observasi Kelautan (BROK), Perancak-Bali. Sukses selalu buat penelitian-penelitiannya...
* perlu dikaji mengenai formula SST yang cocok untuk wilayah perairan di Indonesia yang luas dan cukup unik dengan berbagai keanekaragamannya dan karakteristiknya,.,,

Pengolahan Citra NOAA-AVHRR yang saya lakukan saat itu menggunakan ER-Mapper 6.4 hingga menjadi citra yang siap diolah, sedangkan step/langkah selanjutnya dengan menggunakan software pengolahan citra lainya yakni ENVI 4.0 (maklum kebiasaan iseng-iseng eksplorasi dan kolaborasi software-software...).

Pengolahan citra NOAA-AVHRR ini meliputi tahap penyiapan citra ke dalam format digital yang sesuai dan tahap pengolahan. Data NOAA-AVHRR yang digunakan ialah data L1B dengan software ER-Mapper diimport menjadi format *.ers untuk dapat dilanjutkan ke tahap pengolahan selanjutnya.

Tahap pengolahan merupakan pemrosesan citra yang meliputi koreksi radiometrik dan geometrik, masking untuk daratan dan awan, mosaik citra apabila diperlukan untuk memberikan gambaran daerah penelitian secara utuh dan melakukan pemotongan citra sesuai dengan daerah penelitian, kemudian yang terakhir yaitu perolehan data suhu permukaan laut dari citra dengan menggunakan formula suhu permukaan laut yang telah ditentukan.
Formula suhu yang digunakan yaitu Formula McMillin & Crosby:
SPL = Tb4+2.702*(Tb4-Tb5)-0.582

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* Bambang Trisakti, dkk dalam tulisannya Study of Sea Surface Temperature (SST) using Landsat-7 ETM (In Comparison with Sea Surface Temperature of NOAA-12 AVHRR) menggunakan formula McMillin and Crosby method (Pellegrini dan Penrose, 1986), which has been calibrated with insitu data in Madura Strait waters, Situbondo Regency

atau dalam http://ivy3.epa.gov.tw/OMISAR/Data/OMISAR/wksp.mtg/WOM13/wom13www/02-08%20Bambang%20Trisakti_full%20paper.doc
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tulisan lainnya yang menggunakan McMillin & Crosby :
- oleh H Murakami : http://www.eorc.jaxa.jp/TRMM/imgdt/day_vrs/virs_sst.pdf
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Pengolahan Citra NOAA-AVHRR melalui beberapa tahapan pengolahan citra digital.
Dari tahapan pengolahan citra yakni persiapan data, pemrosesan citra digital hingga penyajian data hasil pengolahan cita digital menggunakan software image processing dan GIS. Tahapan pemrosesan/pengolahan citra NOAA-AVHRR secara digital sebagai berikut:
Koreksi Radiometrik
Koreksi radiometrik yang dilakukan dengan tujuan untuk memperbaiki nilai piksel agar sesuai dengan nilai pancaran spektral obyek sebenarnya dan mengurangi atau menghilangkan efek atmosferik pada citra.
Koreksi Geometri
Koreksi geometri merupakan proses perujukkan titik-titik pada citra ke titik-titik yang sama di medan ataupun di peta, yang diketahui koordinatnya.
Masking
Masking ini bertujuan untuk menghilangkan unsur yang tidak perlu dan tidak dapat diolah. Melakukan masking daratan dan awan dengan menggunakan saluran 1, 2 dan 3.
Mosaik
Mosaik citra dilakukan dengan menggabungkan dua citra bahan, sehingga dihasilkan citra yang menggambarkan daerah penelitian secara penuh.
Pemotongan Citra
Pemotongan citra sangat diperlukan untuk membatasi daerah yang akan diteliti sehingga cakupan daerah penelitian tidak terlalu lebar.
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Hasil pengolahan citra NOAA-AVHRR dan juga citra Aqua MODIS yang digunakan dalam skripsi ini dalam prosesnya untuk tahap terakhir diolah dengan software ENVI 4.0 untuk kemudian disajikan dalam bentuk peta dengan menggunakan software ArcGIS 9.0. Untuk membantu dalam proses pengkelasan suhu, maka hasil pengolahan SPL dari ENVI 4.0 disimpan dalam format asciii. Format ini akan dijadikan menjadi data raster dengan menggunakan convert ascii to raster pada ArcGIS 9.0. untuk dapat mengetahui nilai dan membuat pengkelasan suhu. Setelah itu, pengkelasan suhu diatur dengan pembedaan warna dari tiap-tiap suhu.
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*jika menggunakan ENVI versi di atas ENVI 4.0, misal ENVI 4.2 atau selanjutnya, data hasil pengolahan dengan ENVI bisa disimpan ke dalam format IMG dari erdas imagine, untuk kemudian dapat dibuka dengan mudah dan leluasa untuk pengaturan symbologi nya di ArcGIS.
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Untuk bebaca, silahkan lihat postingan sebelum2nya :
http://ajiputrap.blogspot.com/2008/11/penginderaan-jauh-kelautan-suhu.html
http://ajiputrap.blogspot.com/2008/11/argo-float-aqua-modisnoaa-avhrr-odv.html
http://ajiputrap.blogspot.com/2008/10/arcgis-for-image-processing.html

dan banyak lagie....silahkan dilihat2 ae...hehe
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Salam Penginderaan Jauh untuk Kelautan bagi Indonesia tercinta...


Aji Putra Perdana
- sok ocean, sok iso, sok tenan, sok atuh -
*udah di to be continued......

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Perdana, Aji Putra, (2006). Kajian Suhu Permukaan Laut Berdasarkan Analisis Data Penginderaan Jauh dan Data Argo Float di Selatan Pulau Jawa, Pulau Bali, dan Kepulauan Nusa Tenggara. Skripsi. Yogyakarta: Fakultas Geografi, Universitas Gadjah Mada. ( download )
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Perdana, Aji Putra, (2006). Study Of Sea Surface Temperature Based On Analysis Of Remotely Sensed Data And Argo Float Data In The South Of Java Island, Bali Island And Nusa Tenggara Archipelago. Skripsi. Yogyakarta: Faculty of Geography, Gadjah Mada University. ( download )

Citra Aqua/Terra MODIS - Pengolahan Citra

MODIS (or Moderate Resolution Imaging Spectroradiometer) is a key instrument aboard the Terra (EOS AM) and Aqua (EOS PM) satellites.

The MODIS instrument is operating on both the Terra and Aqua spacecraft. It has a viewing swath width of 2,330 km and views the entire surface of the Earth every one to two days. Its detectors measure 36 spectral bands between 0.405 and 14.385 µm, and it acquires data at three spatial resolutions -- 250m, 500m, and 1,000m.

Terra's orbit around the Earth is timed so that it passes from north to south across the equator in the morning, while Aqua passes south to north over the equator in the afternoon. Terra MODIS and Aqua MODIS are viewing the entire Earth's surface every 1 to 2 days, acquiring data in 36 spectral bands, or groups of wavelengths (see MODIS Technical Specifications).

These data will improve our understanding of global dynamics and processes occurring on the land, in the oceans, and in the lower atmosphere. MODIS is playing a vital role in the development of validated, global, interactive Earth system models able to predict global change accurately enough to assist policy makers in making sound decisions concerning the protection of our environment.

MODIS Technical Specifications :
http://modis.gsfc.nasa.gov/about/specifications.php

The many data products derived from MODIS observations describe features of the land, oceans and the atmosphere that can be used for studies of processes and trends on local to global scales.

MODIS Level 1 data, geolocation, cloud mask, and Atmosphere products: http://ladsweb.nascom.nasa.gov/
MODIS land products: http://edcdaac.usgs.gov/dataproducts.asp
MODIS cryosphere products:http://nsidc.org/daac/modis/index.html
MODIS ocean color and sea surface temperature products: http://oceancolor.gsfc.nasa.gov/

source information :
http://modis.gsfc.nasa.gov/
http://ajiputrap.blogspot.com/2008/07/aquaterra-modis.html

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Langkah-langkah order citra MODIS bisa buat bebaca, silahkan di download di langkah order modis

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Aqua/Terra MODIS Image Processing

Pemrosesan citra satelit digital untuk Aqua/Terra MODIS untuk kajian penginderaan jauh kelautan, dalam hal ini misalnya perolehan suhu permukaan laut (sea surface temperature) dan klorofil bisa memanfaatkan Software Open Source "SeaDAS".

"The SeaWiFS Data Analysis System (SeaDAS) is a comprehensive image analysis package for the processing, display, analysis, and quality control of ocean color data."

-- ulasan mengenai SeaDAS : http://ajiputrap.blogspot.com/search/label/SeaDAS "

Sekarang software SeaDAS ini sudah sampai versi SeaDAS 5.2

More information about SeaDAS, silahkan kunjungi websitenya : http://oceancolor.gsfc.nasa.gov/seadas/

-- Pertama kali mengetahui tentang SeaDAS sewaktu mengikuti pelatihan di BROK (Biro Riset Observasi Kelautan) DKP / SeaCORM di Perancak Bali oleh Bu Retno Andiastuti --
Thanks alot to Pak Realino for invite and allow me to joint the training..
Thanks to Mrs. Retno Andiastuti and assistant (P3TISDA- BPPT) so i could finish my study and know about SeaDAS..
Thanks to all Perancak teams...
- disitulah kali pertama ku bersentuhan dengan SeaDAS,MODIS, Argo Float Data, NOAA-AVHRR yang membuatku bisa bergelar :) -

Sewaktu pelatihan sama sekali ku ga bersentuhan dengan erat secara langsung dengan software SeaDAS, karena saat itu hanya satu komputer yang digunakan dan kita hanya melihat pemrosesan yang dilakukan sekaligus teori/konsep penjelasan, serta praktis yang diberikan.
Diterangkan oleh bu Retno Andiastuti dengan cukup jelas dan dipraktekkan oleh asistennya..maaf saya lupa namanya...hehe (harap dimaklumi..)

Sewaktu mau pulang ke kampung (jogja...hehe), sempat saya mengkopi master software SeaDAS tersebut...alangkah senangnya hati ini..thanks to asisten bu Retno :)

Unfortunately, CD master linux Fedora Core 2 dan SeaDAS 4.8 (klo tidak salah...)...rusak semua :(...hiks-hiks...
bersedihlah sudah hati ini....

Finally, perburuan mulai dilakukan di dunia maya, mencari SeaDAS...
di dunia rental perburuan CD Linux Fedora Core 2 juga dilakukan...

Setelah berhasil,,,memulailah dengan instalasi Linux dan SeaDAS (dengan berbekal ingatan seadanya...maklum di Perancak tidak menyentuh keduanya dengan erat), dibantu dengan manual instalasi SeaDAS yang ditelaah berkat bantuan dosen..
Akhirnya dengan sukses lah SeaDAS tlah ku instal..
Next step...tahap download citra MODIS, dulu downloadnya bukan di ladsweb...udah lupa aku namanya,,hehe, selanga beberapa waktu baru karena mungkin kapasitas data yang besar dan sebagainya dipindahlah ke ladsweb.

---my next step....

Kemudian ku diminta menuliskan seadanya mengenai pengolahan Aqua/Terra MODIS dengan SeaDAS, kebetulan saat itu ada pekerjaan untuk pengolahan data MODIS untuk kajian kelautan yakni penentuan lokasi potensi keberadaan ikan berdasarkan dari suhu permukaan laut dan klorofil.

--- silahkan downlad tulisan sederhana pengolahan aqua modis dengan software SeaDAS -

modul seadas for modis

------------------------------------- another image prosessing for MODIS ------------

Selain menggunakan software open source (alias ga berbayar),.,,pengolahan citra Aqua/Terra MODIS juga bisa menggunakan software pengolahan citra digital yang berbayar, dalam hal ini menggunakan ENVI 4.x.

Jadul (jaman dulu), sempat bingung dana bermain-main untuk transformasi data dari SeaDAS, ke ermapper, lalu envi...wach,,sok ribet tenan....hehe

Kala itu, digunakan ENVI 4.0 dimana dalam software tersebut masih membutuhkan tools tambahan yakni berupa MODIS TOOLS untuk membantu dalam koreksi bow-tie, bahkan juga untuk load radiance and brightness temperature values.

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MODIStools for ENVI

Modistools - add-in library for ENVI for work with the first levels MODIS data (i.e. MOD01-MOD02). This module contains functions that let to do following operations:

* correct loaded image bands for bow-tie distortions,
* create standard ENVI GCP file for image-to-map warping,
* load radiance and brightness temperature values into available bands

This library is available for free and may be downloaded from this site. See included text file for installation and usage notes.
modistools_envi.v10.zip (15kB) MODISTools ENVI add-on
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Namun kini di ENVI di atas versi 4.0, koreksi bow-tie sudah digabungkan ke dalam georeference MODIS.

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Salam,

Aji Putra Perdana
- sok ocean sok tenan -