Indian Journal of Marine Sciences Vol. 39(3), September 2010, pp. 334-340

Comparison of chlorophyll concentration in the of and the Arabian using IRS-P4 OCM and MODIS Aqua Ramesh P. Singh 1 & Prashant Chaturvedi 2 1School of and Environmental Sciences, Schmid College of Science, Chapman University, One University Drive, Orange CA 92866, USA 2Shell International Exploration and Production Inc., 200, N. Dairy Ashford, Houston - 77079, Texas, USA [Email- [email protected]] Received 28 August 2009; revised 18 February 2010

Ocean Color Monitor (OCM) onboard the Indian Remote Sensing Satellite IRS-P4 has been used to retrieve chlorophyll concentration in the Bay of Bengal and the using a bio-optical algorithm. Cloud masking and atmospheric corrections have been performed before applying mapping function to derive chlorophyll concentration from IRS-P4 OCM data. Chlorophyll concentrations have been retrieved from IRS P4 OCM, and used MODIS chlorophyll product during the summer and winter seasons at every 1 degree latitude along the eastern and western of for the period 2000-2003. Present study consists the spatial and temporal monthly variations of chlorophyll concentrations from MODIS data for period July 2002-April 2004. Seasonal dynamics of chlorophyll concentrations along the coastal and in the open sea of the Bay of Bengal and the Arabian Sea is discussed using IRS P4 OCM and MODIS. [Keywords : IRS P4 OCM, Chlorophyll, Arabian Sea, Bay of Bengal]

Introduction Remote Sensing of the Chlorophyll Concentration Remote sensing from space is one of the most Bio-optical algorithms are derived from the efficient and modern tool for understanding the statistical regression of water leaving radiance versus dynamics of our planet. Long-term time series of chlorophyll concentration in many cases. An satellite color measurement are important for empirical algorithm has been proposed for SeaWiFS understanding the atmospheric and ocean ocean color data 6. According to this algorithm, there parameters 1. Chlorophyll concentrations dynamics is an inherent sigmoid relationship between over the Arabian Sea and the Bay of Bengal have Rrs 490/R rs 555 band ratio and chlorophyll concen- been studied using various satellite data such as OCM tration (C), (R rs - remote sensing reflectance). This and CZCS data 2,34. Kumar et al. (2002) have algorithm retrieves low as well as high chlorophyll discussed reasons for low productivity of the Bay of concentration, signifying a better retrieval even in the Bengal during the summer season, however, case of ‘case 2 water’. Below is the mathematical 5Vinayachandran and Mathew (2003) have found form (with 5 coefficients) of the algorithm: enhancement of chlorophyll concentrations during For, mg/m 3 0.01 mg/m 3<= C <= 50 mg/m 3, north-east monsoon period and during in the Bay of Bengal 5. Present study consists Chl-a C = 10^ (0.319–2.336 * R + 0.879 * 2 3 concentrations from IRS P4 OCM data using R – 0.135 * R ) – 0.071 … (1) algorithm developed by Indian scientists for Indian where C is the chlorophyll concentration in mg/m 3 ocean waters. Further, we have compared Chl-a R = log 10 [Rrs (490) / R rs (555)] deduced from IRS P4 OCM data from MODIS Chl-a This algorithm is found to be good even for case 1 product which is not a tested product. A limited water of the Arabian Sea 7 (Chauhan , 2000). We have quantitative evaluation of Chl-a deduced from IRS P4 used equation (1) for the retrieval of chlorophyll OCM data shows a reasonable correlation with concentrations in the Arabian Sea as well as the Bay MODIS Chl-a product. of Bengal. The algorithm developed by Chauhan 7 —————— (2000) is based on field and laboratory studies. *Corresponding author Similar algorithm is also developed for suspended SINGH & CHATURVEDI: COMPARISON OF CHLOROPHYLL CONCENTRATION 335

solids using IRS P4 OCM data utilizing different Results and Discussion OCM bands. Use of these two algorithms provide The chlorophyll concentrations have been retrieved information about the Chl-a and suspended solids over the of the Arabian Sea and the Bay of separately. The present paper deals with the spatial Bengal to study the temporal variations of IRS P4 variations of Chl-a in the Arabian Sea and the Bay of OCM data set for the period 2000 – 2003. Chloro- Bengal. phyll concentrations have been estimated for both the Indian at 1 o latitudinal separation. Location of 3. IRS P4 OCM and MODIS Data samples lie along the coast, for 25-50km distance, a

IRS P4 OCM thick 25km width of sample block all along the coast IRS P4 Satellite was launched by the Indian Space is shown in Figure 1. Average of five pixels at each Research Organization (ISRO) on May 26, 1999 with location for chlorophyll concentrations using IRS P4 two different payloads namely Ocean Color Monitor OCM data had considered in the present study, (OCM) and Multi-frequency Scanning Microwave Over the Arabian Sea, the chlorophyll Radiometer (MSMR). OCM serves in optical concentrations have been found to be higher frequencies while MSMR serves in microwave compared to the Bay of Bengal. The two gulf areas, frequencies. OCM operates in eight spectral bands in the Gulf of Cambay and Kutch show maximum the visible and NIR region of EM radiation. OCM values (Figures 2, 4). Significant variations of takes advantage of push broom scanning system for chlorophyll concentrations are found in remote getting better radiometric performance and higher Ocean, chlorophyll concentrations at 25 km distance spatial resolution. Large swath of OCM provides high from the coast are found to be higher than that of 50 revisit time (2 days). It operates in 8 bands of visible km and 100 km distances. In general, the chlorophyll and near infrared wavelengths. OCM is advantageous concentrations decrease from coast to deep sea. in terms of data handling system with high The chlorophyll concentrations in the Bay of quantization resolution. OCM optics is based on one Bengal is found to be low during summer season lens per band concept. Details of the OCM payload while show higher values during winter season. characteristics are described in IRS P4 Handbook, Highest Chl-values are found in the northern Bengal 1999 8. OCM data is very expensive and not freely (near river mouths, e.g. river) during available. In the present study, we have used limited the monsoon season when heavy river discharge also data due to its cost and tried to compare with MODIS brings large amount of suspended data which is freely available. along with the organic matter (Figures 3, 5). During monsoon period due to surface runoff, nutrients MODIS Sensor and Data Product in the river water is higher compared to other 9 MODIS is a key instrument onboard the Terra and seasons . Aqua satellites. MODIS instrument operating on both At the eastern coast of India around the deltaic the Terra and Aqua spacecraft has a viewing swath regions of Ganga, , Krishna, Godavari and width of 2,330 km and views the entire surface of the rivers, high Chl-a values have been observed earth every one to two days. Its detectors measure 36 (Figure 3). Similar observations are found at the river spectral bands between 0.405-14.385 µm, and it mouth of Narmada along the west coast in the acquires data at three spatial resolutions 250m, 500m, Arabian Sea (Figure 2). In general, the chlorophyll and 1,000m. Terra and Aqua satellites provide high concentrations in the Bay of Bengal are found to be radiometric sensitivity (12 bit) in 36 spectral bands. lower than compared to the Arabian Sea. The MODIS onboard of the Aqua satellite has been phytoplankton bloom during winter in the Bay of providing data since June 24, 2002. It passes south to Bengal region is mainly attributed to the ocean north over the equator in the afternoon. Daily upwelling driven by Ekman pumping (EP). overpass Level-2 data have been used for the The cyclones in the Bay of Bengal are also comparison with OCM chlorophyll concentrations. responsible for the local chlorophyll blooms 10 . The Monthly average Level-3 MODIS Aqua Chl-a main reason for the Bay of Bengal being less concentrations product have been used for time series productive is that the high rainfall and river analysis. discharge freshen the upper layer of water in the Bay 336 INDIAN J. MAR. SCI., VOL. 39 NO. 3, SEPTEMBER 2010

Fig. 1—Location of chlorophyll sampling region (25-50km) along the western and eastern coast of India.

Fig. 2—Chlorophyll concentrations in the western coast (25-50km) during the winter season. SINGH & CHATURVEDI: COMPARISON OF CHLOROPHYLL CONCENTRATION 337

Fig. 3—Chlorophyll concentrations in the eastern coast (25-50km) during the winter season.

Fig. 4—Chlorophyll concentration in the western coast (25-50km) during the summer season. 338 INDIAN J. MAR. SCI., VOL. 39 NO. 3, SEPTEMBER 2010

Fig. 5—Chlorophyll concentrations in the eastern coast (25-50km) during the summer season.

Fig. 6—Correlation between IRS P4 OCM and MODIS Aqua derived chlorophyll concentrations. of Bengal region and also the SST is found to be nutrients into the upper layers. On the other hand, in warmer compared to the Arabian Sea, as a result a case of the Arabian Sea the advection of nutrient rich strongly stratified surface layer in the Bay of Bengal water into the euphotic zone makes this region highly region is observed. The weaker winds over the Bay of productive. Higher Chl-a concentrations are observed Bengal fail to erode this stratified layer, so wind during December and January, some part of the driven vertical mixing in the water does not take northern Arabian Sea is likely associated with the place to a greater depth. This restricts supply of winter cooling phenomenon. SINGH & CHATURVEDI: COMPARISON OF CHLOROPHYLL CONCENTRATION 339

In the present study, Chl-a retrieved from IRS P4 winter cooling phenomenon. Over the Bay of Bengal OCM data have been compared with the MODIS region during winter months, variations in Chl-a satellite data for different months of the years 2000, represent the patches of phytoplankton blooms which 2001, 2002 and 2003. The east and west coasts of is found to be common during December to January, India is covered with 4 scenes of IRS P4 OCM. An these patches disappear in later months. The attempt have been made to compare IRS P4 OCM phytoplankton blooms during winter in the Bay of derived chlorophyll concentrations and MODIS Aqua Bengal region is mainly attributed to the ocean chlorophyll product for the month of December 2002 upwelling driven by Ekman pumping. At the eastern since the maximum cloud free locations were found coast of India, around the deltaic regions of Ganga, during December 2000 – 2003. Figure 6 shows the Mahanadi, Krishna, Godavari and Kaveri rivers, comparison of Chl-a retrieved from IRS P4 OCM data high Chl-a value have been observed. with MODIS Chl-a product at various locations along Similar observations are found at the river mouth of the east and west coast for the month of December Narmada along the west coast in the Arabian Sea. 2002 (Figure 6) covering the coast either on Detailed analysis of IRS P4 OCM data is required to December 15 or December 16, 2002. In the compare with the MODIS chlorophyll product. comparison, locations at the extreme north eastern Such study will be of great importance to the part of the Bay of Bengal were not considered since Indian and international community for the the scene alternate day IRS P4 OCM data was not quantitative use of IRS P4 OCM and MODIS data available due to technical problem. Due to this product but the main limitation is the high cost of IRS limitations, we have found 16 data points for P4 OCM data. comparison of Chl-a deduced from IRS p4 OCM and MODIS Chl product. The correlation between IRS P4 Acknowledgement 2 OCM and MODIS Aqua data is found to be R = Authors are thankful to the Indian Space Research 0.65. Chl-a from IRS P4 OCM data show a higher Organization, Bangalore for financial support through estimation of chlorophyll concentrations compared to a research project to RPS under ISRO-GBP program. MODIS Chl-a product in the month of December. Authors appreciate help of Dr. Anup K. Prasad in The comparison study is limited due to the processing of IRS P4 OCM data. The results availability of MODIS data for the same scene, and presented in this paper was part of M. Tech. thesis also in terms of time and day. The MODIS AQUA work of Prashant Chaturvedi at Indian Institute of data are available free of cost for every day, whereas Technology, Kanpur. the IRS P4 OCM data although the resolution is higher is not freely available. The IRS P4 OCM References product has to be purchased, as a result the IRS P4 1 Tang, D. L. and Kawamura. H., 2001. Remote sensing on OCM data is not used by many scientists and also the Asian waters: Ocean color products of high spatial studies are very limited. resolution and long-term series. Proceedings of the Eleventh, PAMS/JECSS Workshop, April 11-13, 2001, Conclusion Cheju, Korea. 2 Banse, K. and English, D. C., 2000. Geographical The present study using IRS P4 OCM and MODIS differences in seasonality of CZCS-derived phytoplankton data show high chlorophyll concentrations in the pigment in the Arabian Sea for 1978–1986. Deep Sea Arabian Sea compared to that in the Bay of Bengal. Research Part II: Topical Studies in Oceanography, 47, pp. The limited study also show that the estimation of 1177-1677. chlorophyll concentrations from IRS P4 OCM data is 3 Dey, S. and Singh, R. P., 2003. Comparison of chlorophyll distributions in the northeastern Arabian Sea and southern higher compared to the MODIS data in the month of Bay of Bengal using IRS-P4 Ocean Color Monitor Data. December. The two gulf areas, Gulf of Cambay and Remote Sensing Environment, 85 (4), pp. 424-428. Kutch show maximum chlorophyll values. In general, 4 Kumar, S. P., Muraleedharan, P. M., Prasad, T. G., Gauns, the chlorophyll concentrations decrease from coast to M., Ramaiah, N., de Souza, S. N., Sardesai, S. and deep sea. Higher Chl-a value are observed during Madhupratap, M., 2002. Why is the Bay of Bengal less productive during summer monsoon compared to the December and January, in some parts of the northern Arabian Sea?, Geophys. Res. Letts., 29 (24), 2235, Arabian Sea, which is likely associated with the doi:10.1029/2002GL016013. 340 INDIAN J. MAR. SCI., VOL. 39 NO. 3, SEPTEMBER 2010

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