MODIS STANDARD (OC3) CHLOROPHYLL-A ALGORITHM EVALUATION IN INDONESIAN SEAS

Gathot Winarso, Yennie Marini

Abstract

The MODIS-estimated chlorophyll-a information was widely used in some operational application in Indonesia. However, there is no information about the performance of MODIS chlorophyll-a in Indonesian seas and there is no data used in development of algorithm was taken in Indonesian seas. Even the algorithm was validated in other area, it is important to know the performance of the algorithm work in Indonesian seas. Performance of MODIS Standard (OC3) algorithm at Indonesian seas was analyzed in this paper. The in-situ chlorophyll-a concentration data was collected during MOMSEI (Monsoon Offset Monitoring and Its Social and Ecosystem Impact) 2012 Cruise 25th April – 12th   May 2012 and also from archived data of the Research and Development Center for Marine Coastal Resources, Agency of Marine and Fisheries Research and Development, Indonesian Ministry of  Marine Affairs and Fisheries. The in-situ data used in this research is located in Indian Ocean the west of Sumatera part and Pacific Ocean the north of Papua Province part. Satellite data which is used is Ocean Color MODIS Level-2 Product that downloaded from NASA and MODIS L-0 from LAPAN Ground Station. MODIS Level 0 from LAPAN then processed to Level-2  using latest SeaDAS Software. The match-up resulted the MNB(%) is -4.8% that means satellite-estimated was underestimate in 4.8 % and RMSE is 0.058. When the data was separated following to the data source, the correlation and trend line equation became better. From MOMSEI Cruise data, the MNB(%) was -18.8% and RMSE 0.05. From Pacific Ocean Data, MNB (%) was -27 % and RMSE 0.049. From SONNE Cruise 2005, MNB (%) was -27 % and RMSE 0.049. MODIS standard algorithm is work well in Indonesia case-1 seawaters, which contain chlorophyll-a only, and derived that influence to the electromagnetic wave.

Keywords

MODIS; Chlorophyll-a; OC3 Algorithm; Indonesian seas

Full Text:

PDF

References

Ab.Lah NZ, Reba MNM, Siswanto E., (2013), An improved MODIS standard chlorophyll-a algorithm for Malacca Straits Water.IOP Conf. Series: Earth and Environmental Science 18 (2014) 012113. 8th International Symposium of the Digital Earth (ISDE8).

Barnes WL, Pagano T, Salomonson VV., (1998), Pre-launch characteristics of the Moderate Resolution Imaging Spectroradiometer (MODIS) on EOS-AM1. IEEE Transactions On Geoscience And Remote Sensing 36(4): 1088–1100.

Baumgart A, Jennerjahn T, Pranowo WS., (2005), Nutrient Distribution in the Indian Ocean off Java and Sumatra, related to coastal upwelling. SPICE Project Report.

Campbell JW, Feng H., (2005), The empirical chlorophyll algorithm for MODIS: Testing the OC3M algorithm using NOMAD data. The Ocean Color Bio-optical Algorithm Mini Workshop (OCBAM) - September 2005.

Carder KL, Chen FR, Lee ZP, Hawes SK, Cannizzaro JP., (2003), MODIS Ocean Science Team Algorithm Theoretical Basis Document. ATBD 19, Case 2 Chlorophyll a, version 7. NASA MODIS.

Clark DK., (1997), Modis Algorithm Theoretical Basis Document Bio-Optical Algorithms : Case 1 Waters. MODIS Ocean Science Team Algorithm Theoretical Basis Document. ATBD 18, Case 2 Chlorophyll a.

Darecki M, Stramski D., (2004) An evaluation of MODIS and SeaWiFS bio-optical algorithms in the Baltic Sea. Remote Sens Environ 89:326–350.doi:10.1016/j.rse.2003.10.012.

Esaias WE., (1980), Remote sensing of oceanic phytoplankton: Present capabilities and future goals, in Primary Productivity in the Sea, P.G. Falkowski, Ed. Plenum, New York, 321–337.

Gordon HR, Clark DK, Mueller JL, Hovis WA., (1980), Phytoplankton pigments from the Nimbus-7 Coastal Zone Color Scanner: Comparisons with surface measurements. Science 210:63-66.

Gordon HR, Voss KJ., (1999), MODIS Normalized Water-leaving Radiance Algorithm Theoretical Basis Document (MOD 18) Version 4. NASA Goddard Space Flight Cent., Greenbelt, Md.

Gordon HR, Voss KJ., (1999), MODIS Normalized water-leaving radiance, Algorithm theoretical basis document. Departement of Physics Univesity of Miami.

Gordon HR, Wang M., (1994), Retrieval of water-leaving radiance and aerosol optical thickness over the oceans with SeaWiFS: a preliminary algorithm. Appl. Opt. 33: 443-452.

Haney JD, Jackson GA., (1996), Modeling Phytoplankton Growth Rates. Journal of Plankton Research 18(1):63-85.

Hirawake T, Satoh H, Ishimaru T, Yamaguchi Y, Kishino M., (2000), Bio-Optocal Relationship of Case I Waters: The Difference between the Low- and Mid-latitude Waters and the Southern Ocean. Journal of Oceanography 56(3): 245-260.

Kahru M., (2007), WIM Automation Module (WAM) User’s Manual. WimSorf, California USA.

Lalli CM, Parsons TR., (1997), Biological Oceanography, An Introduction. 2nd Edition. Butterworth-Heinemann, Oxford.

Marghany M, Hashim M., (2010), MODIS Satellite data for modelling chlorophyll-a concentration in malaysian coastal waters. International Journal of the Physical Sciences 5(10): 1489-1495.

Maritorena S, Siegel DA, Peterson AR., (2002), Optimization of a semi-analytical ocean color model for global-scale applications. Appl Opt 41:2705–2714.

O’Reilly JE, Maritorena S, Siegel D, O’brien MC, Toole D, Mitchell BG, Kahru M, Chavez FP, Strutton P, Cota G, Hooker SB, McClain CR, Carder KL, Muller-Karger F, Harding L, Magnuson A, Phinney D, Moore GF, Aiken J, Arrigo KR, Letelier R, Culver M., (2000), Ocean color chlorophyll-a algorithms for SeaWiFS, OC2 and OC4, in SeaWiFS Postlaunch Calibration and Validation Analyses: Part 3, SeaWiFS Postlaunch Tech. Rep. Ser., vol. 11,version 4, edited by S B Hooker and ER. Firestone, 9 – 23, NASA Goddard Space Flight Cent., Greenbelt, Md.

Ocean Biology Processing Group, NASA, (2010), Ocean Color Chlorophyll (OC) v6. http:// oceancolor.gsfc.nasa.gov/REPROCESSING/ R2009/ocv6/.

Pan Y, Tang D, Weng D., (2010), Evaluation of the SeaWiFS and MODIS Chlorophyll-a Algorithm Used for the Northern South China during the Summer. Terrestrial,

Atmosphere and Ocean Science Journal 12(6).

Pusat Pemanfaatan Penginderaan Jauh LAPAN, (2013), Laporan Akhir Kegiatan Litbang ZPPI. Pusat Pemanfaatan Penginderaan Jauh (Intern Report).

Sartimbul A, Nakata H, Rohadi E, Yusuf B., Kadarisman HP., (2010), Variations in chlorophyll-a concentration and the impact on Sardinella lemuru catches in Bali Strait, Indonesia. Progress in Oceanography 87(1-4).

Siswanto E, Tang JW, Yamaguchi H, Ahn YH, Ishizaka J, Yoo SJ, Kim SW, Kiyomoto Y, Yamada K., Chiang C., Kawamura H., (2011), Empirical ocean-color algorithm to retrieve chlorophyll-a, total suspended matter, and colored dissolved organic matter absorpsion coefficient in the Yellow and East China Seas. Journal of Oceanography, DOI 10.1007/s10872-011-0062-z.

Siswanto, Suratno, (2008), Seasonal Pattern of Wind Induced Upwelling over Java–Bali Sea Waters and Surrounding Area. International Journal of Remote Sensing and Earth Sciences (IJReSES) 5(2008).

Susanto RD, Gordon AL, Zheng Q., (2001), Upwelling along the Coast of Java and Sumatera and It’s Relation to ENSO. Geophysical Research Letters 28(8):1599-1602.

Tan CK, Ishizaka J, Matsumura S, Yusoff FM, Mohamed MI., (2006), Seasonal variability of SeaWiFS chlorophyll a in the Malacca Straits in relation to Asian monsoon, Cont. Shelf Res., 26:168–178.

Tilstone GH, Lotliker, Miller PI, Ashraf PM, Kumar TS, Suresh T, Ragavan BR, Menon HB., (2013), Assessment of MODIS-Aqua chlorophyll-a algorithms in coastal and shelf waters of the eastern Arabian Sea. Continental Shelf Research 65:14-26.

Winarso G., (2012), Chlorophyll-a Enhancement at East Lampung Coast during Northwest Monsoon Wind. Unpublished.

Winarso G, Kurniawan E., (2014), Remote Sensing Application for Supporting Maritime Security Operations at Arafuru Sea Waters. Jurnal Penginderaan Jauh dan Analisa Data Citra Digital 11(2).

Zagaglia CR, Lorenzzetti JA, Stech JL., (2004), Remote sensing data and longline catches of yellow fin tuna (Thunus albacares) in the equatorial Atlantic. Remote Sensing and Environmental Journal 93: 267 – 281.

DOI: http://dx.doi.org/10.30536/j.ijreses.2014.v11.a2597

Refbacks

  • There are currently no refbacks.