Hyperspectral radiometric observation of the northeast Arabians Sea during April 2006

Sarangi, R. K.; Singh, Sushil Kumar; Dwidevi, R. M.; Matondkar, S.G.P.

doi:10.1007/s12524-008-0002-6

Cited by 4 publications

(1 citation statement)

References 19 publications

(19 reference statements)

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“…In parallel simultaneously water samples analysed for water quality and biogeochemical parameters have been interpreted for the study area. There are few earlier studies using underwater radiometer-based algorithm development, satellite data validation experiments and interpretation have been carried out in Arabian Sea (Chauhan et al, 2002;Sarangi et al, 2008;Dwivedi et al, 2008;Sahay et al, 2014). The forcing by physical parameters such as sea surface temperature (SST), wind speed, etc.…”

Section: Introductionmentioning

confidence: 99%

Particulate Organic Carbon (POC) Estimation and Algorithm Development in Northeast Arabian Sea Coastal Water

et al. 2023

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In situ sampling and analysis for water quality and bio-optical parameters carried out in the northeast Arabian Sea, in Diu and Daman coastal waters during February and August 2021. The in situ sampled water analysed to estimate chlorophyll, nutrients, Particulate Organic Carbon (POC) in the study area. The bio-optical parameters, normalized water leaving radiance (L wn ) and remote sensing re ectance (R rs ) retrieved with the operation of underwater hyperspectral radiometer (Satlantic/Wetlabs inc.). The main objective of the work was to develop POC algorithm using in situ radiometer derived R rs for selected wavelengths in visible regions and linking the band ratios to in situ POC data. In Diu, total 11 stations data collected and produced POC range (44-608 mg m − 3 ). These 11 points POC data correlated with R rs band ratios using 2nd order polynomial function and indicated coe cient of determination (R 2 values 0.37, 0.34 and 0.13). This correlation was also made using 3rd order polynomial t and indicated R 2 values 0.41, 0.42 and 0.26. The same datasets were observed with 3-Dimensional correlation between R rs (490/555), R rs (443/555), R rs (510/555) and POC using linear, paraboloid, gaussian and Lorentzian function t, which showed improved R 2 values ranging 0.34 to 0.66. The data from Daman added to Diu data (total 18 points), which resulted with further better correlation (R 2 = 0.75, RMSE = 9.12) with higher range of POC upto 2600 mg/m 3 . The Modis-Aqua satellite derived POC data for our in situ stations for the sampling dates ranged 392-411 mg m − 3 as compared to our in situ data range 44-608 mg m − 3 . Out of these different POC algorithms inter-comparison and satellite data, it is observed mandatory to have regional POC algorithms with su cient in situ data points.

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Section: Introductionmentioning

confidence: 99%

Particulate Organic Carbon (POC) Estimation and Algorithm Development in Northeast Arabian Sea Coastal Water

et al. 2023

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Validation of OCM-2 sensor performance in retrieving chlorophyll and TSM along the southwest Bay of Bengal coast

et al. 2013

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The Chlorophyll and Total Suspended Matter (TSM) data retrieved from Ocean Colour Monitor (OCM-2) onboard Oceansat-2 were tested for the accuracy using in-situ measurements made along the southwest Bay of Bengal coast during cruises and monthly samplings synchronized with satellite overpass from January 2010 to May 2011. The observed range of in-situ chlorophyll a and TSM concentrations were 0.10-4.60 μgl −1 and 12.70-34.56 mgl −1 respectively, while OCM-2 derived chlorophyll a and TSM concentration ranged from 0.324 to 1.552 μgl −1 and 3.537 to 32.11 mgl −1 , respectively. The in-situ dataset was grouped into low (0.1-0.5 μgl −1), moderate (0.51-1.0 μgl −1) and high (>1 μgl −1) chlorophyll concentration and low (12.7-17.81 mgl −1), moderate (18.1-29.0 mgl −1) and high (>30 mgl −1) TSM concentration for evaluating the performance of algorithms against different ranges of field measurements. The OCM-2 chlorophyll retrieval algorithm (OC4V4) showed a systematic and large overestimation of low chlorophyll values with r 2 = 0.607, root mean square error (RMSE) = 0.33 μgl −1 and mean normalized bias (MNB) = 1.57 and consistent underestimation of high chlorophyll values with r 2 = 0.497, RMSE = 1.486 μgl −1 and MNB = 0.52 especially at nearshore waters due to the interference of suspended matter and coloured dissolved organic matter. However, moderate range of chlorophyll values showed better performance of OC4V4 algorithm in chlorophyll retrieval with r 2 = 0.676, RMSE = 0.254 μgl −1 and MNB = 0.09 when compared to low and high chlorophyll values. The TSM algorithm (modified algorithm of Tassan 1994) showed large underestimation in TSM retrievals and this was proved by the statistical results which shown maximum r 2 = 0.551 for low TSM values with less RMSE = 0.909 mgl −1 and MNB = 0.616 error compared to moderate and high TSM values. OCM-2 retrieved TSM values were not well correlated with in-situ TSM concentration and constantly underestimates four times lesser than the in-situ measurements especially near the coast when TSM concentration was measured high. Though there was significant correlation exists between OCM-2 retrieved chlorophyll and TSM with in-situ measurements, the empirical algorithms employed did not give logical retrieval of both chlorophyll and TSM for the southwest Bay of Bengal (BoB). Thus, the present study revealed that the OCM-2 chlorophyll and TSM retrieval algorithms need to be tested further with extensive in-situ dataset around BoB to improve the regional algorithms for accurate measurements of chlorophyll and TSM in this region.

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Study on Hyperspectral Remote Sensing Based Rapid Determination of Coal Quality Parameters

Mondal,

Pandey,

Pal

et al. 2024

J Indian Soc Remote Sens

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Hyperspectral radiometric observation of the northeast Arabians Sea during April 2006

Cited by 4 publications

References 19 publications

Particulate Organic Carbon (POC) Estimation and Algorithm Development in Northeast Arabian Sea Coastal Water

Particulate Organic Carbon (POC) Estimation and Algorithm Development in Northeast Arabian Sea Coastal Water

Validation of OCM-2 sensor performance in retrieving chlorophyll and TSM along the southwest Bay of Bengal coast

Study on Hyperspectral Remote Sensing Based Rapid Determination of Coal Quality Parameters

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