INVERSION MODEL TO DERIVE SHALLOW WATER DEPTH OVER PIROTAN REEF, GULF OF KACHCHH REGION, INDIA

M. Arora, S. S. Hassan, Brijendra Pateria
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Abstract

Remote sensing technology has ability to monitor bio-optical properties of ocean water surrounding the reef. Coral reefs are usually found in relatively shallow and clear waters surrounding the continents and island. The objective of this study to derive shallow water depth in coral reef environment over Pirotan reef, Gulf of Kachchh region using hyperspectral imagery. Hyperspectral sensor is one of the best options to study the coral reef environment. A semianalyticalmethodutilizeshyperspectral remote sensing data to retrieve water depth. Semi-analytical method are the most recent developing methods in shallow water remote sensing. The image of derived water depth has found ranging from 0.1 to 5.0 m. The spatial variation of model water depth has been found different over the reef because of their uneven morphological structure. The water model output of water depth is compared closely with data acquired during field survey over the reef and the root mean square (rms) error was calculated. The correlation coefficient values has been observed around 0.86.
印度kachchh地区海湾pirotan礁浅水深度反演模型
遥感技术具有监测珊瑚礁周围海水生物光学特性的能力。珊瑚礁通常在大陆和岛屿周围相对较浅和清澈的水域中发现。本研究的目的是利用高光谱图像获得Kachchh湾地区Pirotan礁珊瑚礁环境的浅水深度。高光谱传感器是研究珊瑚礁环境的最佳选择之一。半分析方法利用高光谱遥感数据检索水深。半解析法是近年来发展起来的浅水遥感方法。所得水深图像为0.1 ~ 5.0 m。由于礁体形态结构的不均匀,模型水深的空间变异性存在差异。将水深的水模型输出与野外实测数据进行了密切比较,并计算了均方根误差。相关系数值约为0.86。
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