Showing posts with label marine. Show all posts
Showing posts with label marine. Show all posts

Wednesday, December 8, 2010

(Citra-Ocen Color Galeri) Fenomena Upwelling di Pesisir

(Citra-Ocen Color Galeri) Fenomena Upwelling di Pesisir

Melihat wilayah pesisir, tentusaja hal yang biasa bagi kita yang tinggal di Negara Maritim, Negara Kepulauan dengan garis pantai 81.000 km dan termasuk katergori yang terpanjang garis pantainya. Tidak ada salahnya kita menatap fenomena-fenomena pesisir di wilayah sono...salah satunya kali ini ditampilkan fenomena upwelling yang terjadi di wilayah pesisir barat Amerika sono, bukan Ameriki sini. Mengambil dari galeri gambar (citra satelit) oceancolor dalam kategori citra pesisir (coastal images).

Gambar 1. Wilayah Pesisir Barat Amerika Serikat

Angin bertiup ke selatan di sepanjang pantai barat Amerika Serikat - karena gesekan dan pengaruh rotasi bumi (friction and the effect of Earth's rotation) - menyebabkan lapisan permukaan lautan bergerak menjauh dari pantai. Karena air permukaan bergerak lepas pantai, dingin, air yang kaya nutrisi naik ke atas (upwells) dari bawah untuk menggantinya. Ini merupakan fenomena upwelling yang mengisi pertumbuhan fitoplankton laut, bersama dengan rumput laut yang lebih besar, pada gilirannya memelihara keragaman yang luar biasa makhluk yang ditemukan di sepanjang pantai California utara dan tengah.


Sensor seperti SeaWiFS bisa "melihat" efek dari ini produktivitas upwelling-terkait, karena fitoplankton klorofil-bantalan memantulkan kembali cahaya berwarna hijau ke ruang angkasa sebagai lawan dari air itu sendiri yang mencerminkan panjang gelombang dominan biru kembali ke angkasa.

Wilayah Laut dari gambar (citra) di atas (dikumpulkan pada tanggal 6 Oktober 2002) adalah kode warna untuk menunjukkan konsentrasi klorofil. Wilayah daratan dan kumpulan awan pada bagian dari gambar (citra) disajikan dalam komposit warna kuasi-alami (quasi-natural color).

--- Upwelling : fenomena di lautan yang begitu dingin, begitu kaya dan membawa kehidupan, demikian ungkap ANNE CANRIGHT, seorang geograf/geografer, penulis dan fotograf/fotografer, serta editor untuk Coast & Ocean. ---


sumber : Ocean Color Image Gallery dan http://www.ocean98.org

salam 'pesisir',

Aji PP

Wednesday, December 2, 2009

Cerahnya Air Laut...

Gambar 1. Thole mengukur kecerahan air laut pake seichi disk di taun 2006 sewaktu mengikuti survey yang dilakukan oleh teman-teman di SeaCorm, BROK, Perancak, Bali...

Menatap foto ini kembali mengingatkan akan perjalanan thole and cakep from Jogja to Bali and Bali to Jogja again just for finishing his study at S1 Faculty of Geography, Gadjah Mada University...

Terima kasih tuk semua teman-teman Perancak, ITS, and UNDIP also...

Mengukur kecerahan air laut, semoga menjadikan cerahnya waktu yang dilalui dalam kehidupan di planet bumi ini...

Salam Cakep,

Aji Putra Perdana
-mengisi waktu dan tempat-

Jogja Hari kedua di Bulan Desember di tahun 2009 ditulis di ruang warnet wifi-an...hehe


Geographic Information Science...
Figure 3. Aji Putra Perdana @ geospatial learning office

* ini bukan tulisan geospatial, tapi renungan berfikir dan ajakan geospatial training ala thole cakep*
-end-


"Don’t be silent, do something and smile for Planet of Earth”
by Aji Putra Perdana
"The Transformer of GIS and Remote Sensing“
http://ajiputrap.blogspot.com/

Dancing in A Globalized, Dancing with Love and Peace for Our Planet of Earth”
by My Little Sister

Salam Hangat,

Mencoba berpikir sederhana untuk memecahkan kerumitan dari sebuah problematika.





Tuesday, May 5, 2009

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 )
-------------------------------------------------------------------------------------
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 )

Thursday, April 30, 2009

ARGO News : Chinese scientists cast adrift in a sea of opportunity

ARGO (Array for Real-time Geostrophic Oceanography)
more about ARGO from this blog

ARGO News : Chinese scientists cast adrift in a sea of opportunity
April 15, 2009

Sea-faring robots may be the latest high-profile weapon in the fight against climate change, but are Chinese scientists letting the valuable data they produce go to waste?

Experts working on a major international ocean monitoring project think so - and have blamed the waste on the fact many researchers simply do not know it is free.

Launched at the start of the millennium, ARGO (Array for Real-time Geostrophic Oceanography) is an ongoing and developing program aimed at keeping a regular check on the temperature and salinity of the Seven Seas with satellite-tracked, automated floats.

The robots, which have a lifespan of four years and dive to 2,000 m for 10 days to take crucial measurements, help scientists to better predict changes or trends in the ocean's climate, explained Xu Jianping, a researcher at the second institute of oceanography under the State Oceanic Administration and chief scientist for the China ARGO program.

He said China will deploy around 60 floats this year, 10 of which will be placed in the east of the Bashi Channel, in the northwest Pacific Ocean, during a two-week scientific expedition by researchers from the China Ocean University. They were aboard the vessel Dongfanghong 2, which left Xiamen, in Fujian province, on February 3. Another 50 will be cast adrift in the Indian Ocean between June and September.


Researchers from the China Ocean University aboard the Dongfanghong 2 vessel, which left Xiamen, in Fujian province, on February 3 to deploy ARGO floats in the Pacific Ocean. (Photo: Chinadaily.com.cn)

But while experts in Great Britain, Australia, Japan and the United States have embraced the "revolutionary" research, Xu warned his nation is lagging far behind.

"In most participating countries, scientists from various fields have shown great interest in the ARGO program, with climatologists the most enthusiastic," he explained. "But in China, ARGO is still little known among scientists, except oceanographers.

"Everyone has access to the same data. Even a high school student who wants to be an oceanographer or climatologist can access it on his desktop. He or she could also catch up with the international research and climate change studies using the ARGO data. It would be a great pity if China's scientists miss such a good opportunity."

.............................................................................................................................................................


"ARGO is similar to a satellite in coverage but it's looking at the sub-surface ocean rather than the sea's surface," he said. "So the purpose of having 3,000 floats out there is to give us that sort of dense global coverage that you need in order to really see the variability in the oceans."

The program has so far yielded valuable results that have proved the foundation, or at least a major source, for an annual average of 107 research papers since 2004. The collected data is made available to users quickly and free of restrictions online or on request.


Source: China Daily
more detail news...


Best Regards,
Aji Putra Perdana
ARGO'ers.....

Sunday, April 12, 2009

Argo Float - akses data

Apa itu Argo Float, bagaimana ceritanya, dimana persebarannya, untuk apa ya ???

Munculnya Argo Float merupakan sebuah konsep revolusioner dalam sistem observasi kelautan dan metode pengukuran global. Argo Float merupakan instrumen yang bergerak mengikuti arus bawah laut yang disebar di lautan terbuka dengan resolusi spasial kira-kira 300 km. Selama satu kali dalam sepuluh hari akan muncul ke permukaan di akhir tiap siklusnya dan mengirimkan data ke satelit komunikasi (misalnya: satelit ARGOS)

Argo Float - silahkan akses data Argo Float...bisa dilihat Argo yang telah matidan yang masih hidup di http://www.marine.csiro.au/~gronell/ArgoRT/select_floats_WMO.html

Untuk akses data Argo kini cukup mudah..dan enak dilihat euy..karena memanfaatkan google earth..

What is Argo? Argo is a global array of 3,000 free-drifting profiling floats that measures the temperature and salinity of the upper 2000 m of the ocean. This allows, for the first time, continuous monitoring of the temperature, salinity, and velocity of the upper ocean, with all data being relayed and made publicly available within hours after collection.

Positions of the floats that have delivered data within the last 30 days (AIC, updated daily):

Why do we need Argo? We are increasingly concerned about global change and its regional impacts. Sea level is rising at an accelerating rate of 3 mm/year, Arctic sea ice cover is shrinking and high latitude areas are warming rapidly. Extreme weather events cause loss of life and enormous burdens on the insurance industry. Globally, 8 of the 10 warmest years since 1860, when instrumental records began, were in the past decade. more information...

Where is Argo now?

Argo deployments began in 2000 and by November 2007 the array is 100% complete. Today's tally of floats is shown in the figure above. While the Argo array is currently complete at 3000 floats, to be maintained at that level, national commitments need to provide about 800 floats per year (which has occurred for the past three years). more information...

Who Collaborates with Argo?

Argo is a major contributor to the WCRP's Climate Variability and Predictability Experiment (CLIVAR) project and to the Global Ocean Data Assimilation Experiment (GODAE). The Argo array is part of the Global Climate Observing System/Global Ocean Observing System GCOS/ GOOS).

------------------------------sharing from my blog -------------------------------------------
More detailed..Please read :
http://ajiputrap.blogspot.com/2007/07/about-argo-float-1.html
http://ajiputrap.blogspot.com/2007/07/about-argo-float-2.html
http://ajiputrap.blogspot.com/2008/08/argo-float-bibliography.html
http://ajiputrap.blogspot.com/2008/11/argo-float-aqua-modisnoaa-avhrr-odv.html
http://ajiputrap.blogspot.com/2008/11/odv-petunjuk-pengolahan-untuk-data-argo.html
http://ajiputrap.blogspot.com/2008/11/penginderaan-jauh-kelautan-suhu.html
http://ajiputrap.blogspot.com/2008/12/persebaran-argo-float-di-wilayah.html

http://ajiputrap.blogspot.com/search/label/Argo%20Float

Pada 19 Maret 2009, saya menerima email dari
Dr Tseviet Tchen
CSIRO Marine and Atmospheric Research

mengatakan bahwa ada info baru di blognya Argo... :

" Regarding Argo, there is a new thread to its blog about the Argo outreach effort, to which you may want to contribute. "

------------------------------------------------------------------------------------------------
information about Argo Float dari http://argo3000.blogspot.com/

Friday, March 13, 2009

Argo outreach resource

In line with the Argo outreach effort, CSIRO has been hosting a web-page which provides weekly updated T/S profiles for the global Argo array:

http://www.marine.csiro.au/~ttchen/argo/gmap.htm, with specific characteristics as follow:

* national grouping for floats localisation
* low-cost hardware requirements for web-access, ie access is via GoogleMap which requires no high-speed graphic card, in contrast to Google Earth.

Usage: hovering the mouse-pointer over the icon of a float brings up a menu which lists clickable links leading to float information, such as TS-plots.


More detailed real-time data are available for the Australian floats at http://www.marine.csiro.au/~gronell/ArgoRT/select_floats_WMO.html


You are most welcome to explore this resource and to feedback any comments.


Tseviet Tchen.

-------------------------------------------------------------------------------------------------

Salam hangat,

Aji Putra Perdana
^ try to concern in our ocean ^
**** gado-gado languange ****

source information : http://ajiputrap.blogspot.com/
http://www.argo.ucsd.edu/

Tuesday, March 31, 2009

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.

SeaDAS Screen Shot

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


    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


    Wednesday, March 25, 2009

    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/

    Wednesday, March 4, 2009

    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/

    Wednesday, February 25, 2009

    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.

    Thursday, January 15, 2009

    MODIS phytoplankton-ENVI

    MODIS phytoplankton-ENVI

    I would like to discuss about "MODIS phytoplankton-ENVI".
    title of this my blog post today is about Aqua/Terra MODIS image processing for detecting phytoplankton using software ENVI.

    Let's start this discussion from the last word :"ENVI"

    What is ENVI??

    1. ENVI
    We know that ENVI is great image processing and analyzing geospatial imagery.
    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.

    ENVI provides us MODIS Toolkit and Ocean Color Plug-ins (previous posting : http://ajiputrap.blogspot.com/2008/12/modis-toolkit-and-ocean-color-plug-ins.html)
    ENVI help us in MODIS image processing with geometric correction (bow-tie correction).

    - I have uploaded in my esnips simple tutorial Aqua/Terra MODIS image processing using ENVI 4.x

    http://ajiputrap.blogspot.com/2009/01/pengolahan-citra-aquaterra-modis-dengan.html

    download this tutorial:
    pengolahan citra modis dengan envi.pdf
    -- step by step from open MODIS HDF (Level 1B), MODIS Geometric Correction (include Bow-Tie Correction), Radiometric Correction for Reflectance and Radiance Bands (use Band Math).
    Another tutorial files can be downloaded in http://www.esnips.com/web/perdana09-article :
    - SeaDAS_4_AquaMODIS.pdf
    Tutorial Aqua/Terra MODIS image processing using SeaDAS software
    - Langkah Order Citra MODIS.pdf
    How to order MODIS (level 1B at Ladsweb)

    2. phytoplankton
    phytoplankton ??
    Phytoplankton are the autotrophic component of the plankton community. The name comes from the Greek words phyton, or "plant", and πλαγκτος ("planktos"), meaning "wanderer" or "drifter".[1] Most phytoplankton are too small to be individually seen with the unaided eye. However, when present in high enough numbers, they may appear as a green discoloration of the water due to the presence of chlorophyll within their cells (although the actual color may vary with the species of phytoplankton present due to varying levels of chlorophyll or the presence of accessory pigments such as phycobiliproteins, xanthophylls, etc.).

    Phytoplankton obtain energy through a process called photosynthesis and must therefore live in the well-lit surface layer (termed the euphotic zone) of an ocean, sea, lake, or other body of water.

    Phytoplankton are a key food item in both aquaculture and mariculture. Both utilize phytoplankton for the feeding of the animals being farmed. In mariculture, the phytoplankton is naturally occurring and is introduced into enclosures with the normal circulation of seawater. In aquaculture, phytoplankton must be obtained and introduced directly.

    References

    1. ^ Thurman, H. V. (1997). Introductory Oceanography. New Jersey, USA: Prentice Hall College. ISBN 0132620723.
    2. ^ "Satellite Sees Ocean Plants Increase, Coasts Greening". NASA (2 March 2005). Retrieved on 12 January 2009.
    3. ^ Richtel, M. (May 1, 2007), "Recruiting Plankton to Fight Global Warming", New York Times, http://www.nytimes.com/2007/05/01/business/01plankton.html?ref=science
    4. ^ Hallegraeff, G.M. (2003). Harmful algal blooms: a global overview. in Hallegraeff, G.M., Andewrson, D.M. and Cembella, A.D. (eds) 2003. Manual on Harmful Marine Microalgae. UNESCO, Paris
    5. ^ G.E. Hutchinson (1961). "The paradox of the plankton". Am. Nat. 95: 137–145. doi:10.1086/282171.
    6. ^ a b c d McVey, James P., Nai-Hsien Chao, and Cheng-Sheng Lee. CRC Handbook of Mariculture Vol. 1 : Crustacean Aquaculture. New York: C R C P LLC, 1993.

    == source information : http://en.wikipedia.org/wiki/Phytoplankton ==

    interesting question about phyto...

    Where Are Phytoplankton?

    The distribution of phytoplankton in the ocean have been measured by special instruments in space since 1979. The instruments, called ocean-color scanners, measure the color of the ocean. Color is proportional to the amount of chlorophyll pigments close to the surface, except in sediment-rich water very close to coasts. And the amount of chlorophyll is proportional to the amount of phytoplankton in the water. Water with great numbers of phytoplankton are green. Pure ocean water is deep navy blue.

    The first ocean-color scanner, the Coastal Zone Color Scanner, was launched on the Nimbus-7 satellite in 1978. It was followed many years later by SeaWiFS (Sea-viewing Wide Field-of-view Sensor) on the Seastar satellite launched in 1997. The most recent color scanner is MODIS (Moderate Resolution Imaging Spectrometer) on the Terra spacecraft launched in 1999 and the Aqua satellite launched in 2002.

    more information about distribution of phyto...read this article : Distribution of Plankton

    summary from the article
    :
    Phytoplankton are abundant in regions where:
    1. Winds are able to mix nutrients up into near surface waters from deeper in the ocean, or
    2. Where Ekman transports driven by the winds pulls water up from deeper in the ocean,
    a. When winds blow toward the equator along west coasts of continents, and
    b. When the average winds blowing at different speeds and directions cause divergence of the Ekman transports,provided a small amount iron needed by the protists is in the water.

    --- MODIS (Moderate Resolution Imaging Spectrometer) on the Terra spacecraft and the Aqua satellite help us daily in monitoring or detecting phytoplankton. ---

    3. MODIS (Moderate Resolution Imaging Spectrometer)
    please read previously article about MODIS (http://ajiputrap.blogspot.com/search/label/MODIS)
    or directly from http://modis.gsfc.nasa.gov

    ===================================================================================
    Step by step Aqua/Terra MODIS (Level 1B) image processing using ENVI 4.2 software:
    1. Download MODIS data level 1B 1km resolution from ladsweb...
    2. Open HDF MODIS in ENVI 4.x
    File -> Open External File -> Generic Format -> HDF (http://ajiputrap.blogspot.com/2008/12/modis-hdf-hierarchical-data-format.html or http://ajiputrap.blogspot.com/search/label/HDF)
    3. Geometric Correction, include Bow-Tie Correction*
    Bowtie Correction aims to improve image at overlapped data. Overlap occurs because there is increasing instantaneous field of view (IFOV) of 1x1 km in the lowest point (nadir). Being close to almost 2 x 5 km at the maximum scan angle is 55 degree.
    After MODIS DATA geometrically corrected, then go to the next step
    4. Radiometric Correction
    Radiometric Correction in ENVI use Band Math (ENVI main menu, choose Basic Tool -> Band Math)

    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

    -- information about reflectance scale and offset we may get it from HDF Dataset (http://ajiputrap.blogspot.com/2008/12/modis-hdf-hierarchical-data-format.html or http://ajiputrap.blogspot.com/search/label/HDF)

    5. Chlorophyll-a algorithm with Band Math
    After we get geometric and radiometrically corrected MODIS image, we continue to the main step : detecting Chlorophyll-a

    Fitoplankton that is on a layer of light contains Chlorophyll-a useful for photosynthesis. Chlorophyll-a able to absorb a light blue and green, so it can detect the existence fitoplankton based on the ability of these 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.

    In addition Chlorophyll-a , we may use sea surface temperature from MODIS to get information distribution of phytoplankton in the ocean. if we combined both we may get great information...

    ==================================================================================
    nice to share :)


    Best Regards,

    Aji Putra Perdana

    Monday, December 29, 2008

    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

    Saturday, December 20, 2008

    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

    -----------------------------------------------------------------------------------
    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

    ------------------------------------------------------------------------------------
    * 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
    ------------------------------------------------------------------------------------
    tulisan lainnya yang menggunakan McMillin & Crosby :
    - oleh H Murakami : http://www.eorc.jaxa.jp/TRMM/imgdt/day_vrs/virs_sst.pdf
    ------------------------------------------------------------------------------------

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


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

    -------------------------------------------------------------------------------------
    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 )
    -------------------------------------------------------------------------------------
    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 )

    Sunday, December 7, 2008

    Persebaran Argo Float di Wilayah Indonesia Tahun 2002 hingga Awal Tahun 2006

    Argo Float milik CSIRO Marine Research-Autralia di-deploy di wilayah perairan Indonesia pada September 2002. Sampai sekarang sudah banyak Argo Float yang mengukur temperatur dan salinitas Samudera Hindia. Daerah yang sudah diukur oleh Argo Float CSIRO-Australia berdasarkan data Argo Float tahun 2002 hingga awal tahun 2006 dapat dilihat pada Gambar 4.3. Dari data yang ada dapat diketahui bahwa di perairan Indonesia hingga kawasan perairan Australia telah dihasilkan sejumlah 681 profil temperatur dan salinitas dari 6 seri Argo Float milik CSIRO yang tersebar yaitu CSIRO-5900026, CSIRO-5900027, CSIRO-5900033, CSIRO-5900035, CSIRO-5900037, dan CSIRO-5900043.



    Argo Float milik CSIO (China Second Institute of Oceanography) baru mulai pengukuran di Samudera Hindia pada bulan November 2004 dengan lokasi persebaran dapat dilihat pada Gambar 4.4. Berdasarkan data dari tahun 2004 hingga awal 2006 terdapat 4 float yaitu CSIO-2900322, CSIO-2900323, CSIO-2900457, dan CSIO-5900462 yang menghasilkan sejumlah 162 profil temperatur dan salinitas.


    -----------------------------------------------------------------------------------
    Sebaran Argo Float hingga tanggal 7 Desember 2008 di seluruh ocean bumi kita tercinta (http://www.argo.ucsd.edu/)

    About Argo

    Argo is a global array of 3,000 free-drifting profiling floats that measures the temperature and salinity of the upper 2000 m of the ocean. This allows, for the first time, continuous monitoring of the temperature, salinity, and velocity of the upper ocean, with all data being relayed and made publicly available within hours after collection.

    Positions of the floats that have delivered data within the last 30 days (AIC, updated daily):


    -----------------------------------------------------------------------------------
    sumber : dicuplik dari bab 4 hasil dan pembahasan dalam skripsi Aji PP dan
    info terbaru dari http://www.argo.ucsd.edu/

    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 )
    -----------------------------------------------------------------------------------
    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 )
    -----------------------------------------------------------------------------------
    Argo and Float Bibliography :
    klik tahun 2006 search and find "perdana"
    http://www.argo.ucsd.edu/FrBibliography.html
    -----------------------------------------------------------------------------------
    note : pengolahan data Argo Float menggunakan ODV - mengenai ODV
    -----------------------------------------------------------------------------------

    Sekedar berbagi :)

    Nice to share :)


    Salam,
    Best Regards,

    Aji Putra Perdana
    - sok ocean sok tenan -

    Wednesday, December 3, 2008

    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

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

    ----------------------------------------------------------------------------------------
    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.

    ---

    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
    ---

    Namun kini di ENVI di atas versi 4.0, koreksi bow-tie sudah digabungkan ke dalam georeference MODIS.

    ------------------------------------------------------------------------------

    Salam,

    Aji Putra Perdana
    - sok ocean sok tenan -

    Wednesday, November 26, 2008

    Penginderaan Jauh Kelautan - suhu permukaan laut

    Berikut sekedar sharing tulisan yang tertulis di skripsi KAJIAN SUHU PERMUKAAN LAUT
    BERDASARKAN ANALISIS DATA PENGINDERAAN JAUH DAN DATA ARGO FLOAT DI SELATAN PULAU JAWA, PULAU BALI DAN KEPULAUAN NUSA TENGGARA.
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    aji skripsi
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    Perkembangan cepat teknologi penginderaan jauh (remote sensing) menjadikannya sebagai metodologi survey mutakhir yang secara kontinyu dapat dimanfaatkan untuk menyajikan kondisi laut dengan akurat secara ruang dan waktu. Saat ini banyak citra penginderaan jauh yang dapat dimanfaatkan untuk aplikasi kelautan terutama lapisan permukaan laut, diantaranya ialah NOAA- AVHRR (National Oceanic and Atmospheric Administration - Advanced Very High Resolution Radiometer) dan Aqua MODIS (Aqua - Moderate Resolution Imaging Spectroradiometer).

    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.

    Data MODIS memiliki resolusi temporal 1-2 hari dan data dapat diperoleh melalui download dalam format data HDF (Hierarchical Data Format). Resolusi spasial dari 250 m (band 1-2), 500 m (band 3-7), dan 1 km (band 8-36) dengan cakupan citra mencapai 2330 km.

    Saluran-saluran radiasi inframerah termal dari NOAA-AVHRR dan Aqua MODIS, berfungsi untuk mendeteksi radiasi termal yang dipancarkan oleh permukaan bumi. Berdasarkan hubungan antara suhu dengan intensitas emisi maka data AVHRR dan MODIS dapat dimanfaatkan untuk mengukur suhu permukaan laut.

    Suhu permukaan laut merupakan parameter yang berkaitan dengan berbagai fenomena laut, sehingga dapat digunakan untuk mengidentifikasi daerah upwelling, front, arus laut, arus eddie, daerah konsentrasi ikan dan kemungkinan kandungan mineral (Medellu, 1986). Selain itu, data suhu permukaan laut amat penting untuk mengetahui keseimbangan laut dan atmosfer dari waktu ke waktu (Constan et al., 1983 dalam Medellu, 1986).

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    Citra merupakan gambaran visual tenaga yang direkam dengan menggunakan piranti penginderaan jauh (Ford, 1979, dalam Sutanto, 1986).

    Oseanografi dapat didefinisikan secara sederhana sebagai suatu ilmu yang mempelajari lautan (Hutabarat dan Evans, 1985).

    Remote Sensing biasa juga disebut sistem penginderaan jauh merupakan suatu teknologi yang memanfaatkan gelombang elektromagnetik untuk mendeteksi dan mengetahui karakteristik objek di permukaan bumi, baik daratan maupun permukaan laut dan perairan tanpa melakukan kontak langsung dengan objek yang diteliti tersebut (Lillesand dan Kiefer, 1979).

    Suhu adalah ukuran energi gerakan molekul (Paena, M., 2002).

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    Salam Penginderaan Jauh untuk Kelautan bagi Indonesia tercinta...

    Aji Putra Perdana


    *to be continued......

    Sunday, November 16, 2008

    Argo Float, Aqua MODIS,NOAA-AVHRR, ODV, SeaDAS

    Lama kutidak melihat Argo Float...Sebuah intrumen yang membuatku bisa lolos, eh lulus dan dinyatakan sebagai Sarjana Fakultas Geografi UGM. Jurusan Kartografi dan Penginderaan Jauh,,,tidak kusangka kalau aku akhirnya masuk ke Jurusan tersebut..berbekal nilai Fotogrametri yang saat itu belum keluar-keluar (seharusnya kudapat B, dengan bermodal awal nilai C)..anyway thanks to Bapak Dosen yang mengajar Fotri.

    Apa itu Argo Float??
    Pada awalnya ku bener-bener tidak tahu tentang Argo Float, sampai sekarangpun belum pernah melihat langsung float tersebut.,.hehe
    cuman melihat dari gambar dan video peluncuran Argo Float,,
    Wikipidea..juga menuliskan apa itu Argo
    Argo is an observation system for the Earth's oceans that provides real-time data for use in climate, weather, oceanographic and fisheries research.[1] [2] [3] Argo consists of a large collection of small, drifting oceanic robotic probes deployed worldwide. The probes float as deep as 2 km. Once every 10 days, the probes surface, measuring conductivity and temperature profiles to the surface. From these salinity and density can be calculated. The data are transmitted to scientists on shore via satellite. The data collected are freely available to everyone, without restrictions. The initial project goal was to deploy 3,000 probes, completed in November 2007.

    What is Argo?

    Argo is a global array of 3,000 free-drifting profiling floats that measures the temperature and salinity of the upper 2000 m of the ocean. This allows, for the first time, continuous monitoring of the temperature, salinity, and velocity of the upper ocean, with all data being relayed and made publicly available within hours after collection.

    Setelah melihat situsnya http://www-argo.ucsd.edu/

    Sekarang jumlah Argo Float yang mengapung di kedalaman sekitar 2000an meter dan muncul ke permukaan untuk sekedar mengirimkan data yang direkamnya saat dia naik ke permukaan.

    Kelangkaan data observasi yang berkesinambungan dari atmosphere, ocean dan daratan untuk pemodelan iklim merupakan alasan dibutuhkannya data dari Argo Float..
    Argo Float diharapkan dapat memberikan gambaran observasi kelautan untuk menggambarkan kondisi suhu dan salinitas secara kontinyu.

    Who Collaborates with Argo?
    Argo is a major contributor to the WCRP's Climate Variability and Predictability Experiment (CLIVAR) project and to the Global Ocean Data Assimilation Experiment (GODAE). The Argo array is part of the Global Climate Observing System/Global Ocean Observing System GCOS/ GOOS).

    -----------
    AVISO
    Data Argo Float dicek dengan data altimetri...http://ajiputrap.blogspot.com/2008/10/argo-float-altimetry.html

    ------------------------------------------------------------------------------------

    tertarik untuk membaca-baca aplikasi Argo Float dan Data Citra Satelit Penginderaan Jauh Resolusi Rendah yakni citra NOAA-AVHRR dan citra Aqua MODIS dikaji untuk suhu permukaan laut di Samudera Hindia, Pengolahan Argo Float yang mempunyai format data NetCDF menggunakan Ocean Data View (ODV), Pengolahan citra Aqua MODIS dengan SeaDAS???

    Beberapa link tentang Argo Float:
    http://ajiputrap.blogspot.com/sst-argo.html
    http://www.argo.ucsd.edu/FrComplete_float_bib.html

    Pengolahan Data Argo Float (yang berformat NetCDF) dengan Ocean Data View :
    http://ajiputrap.blogspot.com/2007/07/about-argo-float-2.html
    http://ajiputrap.blogspot.com/2008/05/ocean-data-view.html
    Langkah-langkah pengolahan data (NetCDF) Argo Float untuk ekstraksi suhu dan salinitas:
    http://ajiputrap.blogspot.com/petunjuk-ODV.html
    ------------------------------------------------------
    tentang SeaDAS untuk MODIS: http://ajiputrap.blogspot.com/search/label/SeaDAS

    Untuk membaca-baca tulisan tentang Argo Float dan Data Penginderaan Jauh :
    Silahkan mengunduh skripsinya download SKRIPSI AJI



    Salam,

    Aji Putra Perdana
    - free gis'er and raster's -

    Tuesday, October 28, 2008

    Argo Float - Altimetry ?

    Image of the month - September 2008


    RMS of the differences between Sea Level Anomalies (SLA) and the Dynamic Height Anomalies computed from Argo measurements, as percentage of the SLA variance. One point represents the value for one float time series at its mean position: left, all floats, right, floats showing anomalous values. The background field for left map corresponds to the reference. (Credits CLS/Coriolis)


    Altimetry and Argo Float data ???

    News from AVISO website


    Altimetry to check Argo quality


    The Argo array, consisting in 3,000 autonomous floats drifting in the ocean, has been fully deployed for nearly one year now . It is complementary of altimetry since it gives an in-depth view of the global ocean. The floats are, of course, calibrated and tested before being launched, but many things can happen that lead to malfunctions, drifts or bias in the measurements. Altimetry can be used to validate those.

    A good part of altimetry's sea level anomalies variations are due to temperature and/or salinity changes. Which are what Argo floats measure. So height anomalies can be computed from Argo and compared to altimetry. They won't match exactly -- due to the variations not linked to either temperature or salinity, and to what's happening at great depths (below 900 m). But they should be close enough, and big deviations of one from the other may be due do problems in one of the two measurements. If we take altimetry as reference, this enable to check the quality of the Argo floats using a totally independent technique.












    Examples of comparisons between SLA and DHA for specific floats. Up, an example where the float and altimetry correlate well, down another that shows a progressive drift of the DHA time series regarding the SLA time series as the float is traveling from east to west in the Tropical Atlantic Ocean. (Credits CLS/Coriolis)

    Websites on this subject:
    International Argo project home page
    Coriolis data distribution center
    References:
    Guinehut, S., C. Coatanoan, A-L. Dhomps, P-Y. Le Traon, G. Larnicol, On the use of satellite altimeter data in Argo quality control, JAOT, 2008 (accepted).


    source information : http://www.aviso.oceanobs.com/en/news/idm/2008/sep-2008-altimetry-to-validate-argo/index.html