Estimation of Chlorophyll and Turbidity Using Sentinel 2A and EO1 Data in Kneiss Archipelago Gulf of Gabes, Tunisia  

作　　者：Rim Katlane Cécile Dupouy Boubaker El Kilani Jean Claude Berges Rim Katlane;Cécile Dupouy;Boubaker El Kilani;Jean Claude Berges(GEOMAG (LR19ES07)/PRODIG (UMR 8586), University of Mannouba-Tunis Campus Universities Manouba, Tunisia;IRD, Aix-Marseille U., U. Toulon, CNRS, M.I.O., France;GEOMAG (LR19ES07), University of Mannouba, Tunis, Tunisia;PRODIG, Sorbonne University Paris-Cité, Paris, France)

机构地区：[1]GEOMAG (LR19ES07)/PRODIG (UMR 8586), University of Mannouba-Tunis Campus Universities Manouba, Tunisia [2]IRD, Aix-Marseille U., U. Toulon, CNRS, M.I.O., France [3]GEOMAG (LR19ES07), University of Mannouba, Tunis, Tunisia [4]PRODIG, Sorbonne University Paris-Cité, Paris, France

出　　处：《International Journal of Geosciences》2020年第10期708-728,共21页地球科学国际期刊（英文）

摘　　要：Multispectral and hyperspectral sensor data of the bio-optical parameters with a high spatial resolution are important for monitoring and mapping of the coastal ecosystems and estuarine areas, such as the Kneiss Islands in the Gulf of Gabes. Sentinel 2 S2A and Hyperion Earth observing-1 (EO1) imaging sensors reflectance data have been used for water quality determination and mapping of turbidity TU and chlorophyll Chl-a in shallow waters. First, we applied a tidal swing area mask based on uncorrelated pixel via 2D scatter plot between 665 nm and 865 nm to eliminate the overestimation of the concentration of water quality parameters due to the effect of the bottom reflection. The processing for mapping and validating Chl-a, Turbidity S2A, and EO1 were performed using a relation between reflectance bands and in situ measurements. Therefore, we were able to validate the performance of the case 2 regional coast colour processor (C2RCC) as well as our region-adapted empirical optical remote sensing algorithms. Turbidity was mapped based on the reflectance of 550 nm band for EO1 (R<span style="font-size:12px;">²</span><span style="font-size:12px;"> = 0.63) and 665 nm band for S2A (R</span><span style="font-size:12px;">²</span><span style="font-size:12px;"> = 0.70). Chlorophyll was mapped based on (457/528 nm) reflectance ratio (R</span><span style="font-size:12px;">²</span><span style="font-size:12px;"> = 0.57) for EO1 and (705/665 nm) reflectance ratio (R</span><span style="font-size:12px;">²</span><span style="font-size:12px;"> = 0.72) for the S2A.</span>Multispectral and hyperspectral sensor data of the bio-optical parameters with a high spatial resolution are important for monitoring and mapping of the coastal ecosystems and estuarine areas, such as the Kneiss Islands in the Gulf of Gabes. Sentinel 2 S2A and Hyperion Earth observing-1 (EO1) imaging sensors reflectance data have been used for water quality determination and mapping of turbidity TU and chlorophyll Chl-a in shallow waters. First, we applied a tidal swing area mask based on uncorrelated pixel via 2D scatter plot between 665 nm and 865 nm to eliminate the overestimation of the concentration of water quality parameters due to the effect of the bottom reflection. The processing for mapping and validating Chl-a, Turbidity S2A, and EO1 were performed using a relation between reflectance bands and in situ measurements. Therefore, we were able to validate the performance of the case 2 regional coast colour processor (C2RCC) as well as our region-adapted empirical optical remote sensing algorithms. Turbidity was mapped based on the reflectance of 550 nm band for EO1 (R<span style="font-size:12px;">²</span><span style="font-size:12px;"> = 0.63) and 665 nm band for S2A (R</span><span style="font-size:12px;">²</span><span style="font-size:12px;"> = 0.70). Chlorophyll was mapped based on (457/528 nm) reflectance ratio (R</span><span style="font-size:12px;">²</span><span style="font-size:12px;"> = 0.57) for EO1 and (705/665 nm) reflectance ratio (R</span><span style="font-size:12px;">²</span><span style="font-size:12px;"> = 0.72) for the S2A.</span>

关 键 词：Hyperspectral Kneiss Islands MULTISPECTRAL Shallow Waters Water Quality 

分 类 号：P73[天文地球—海洋科学]