Satapathy D R, Krupadam R J, Kumar L Pawan, Wate S R
National Environmental Engineering Research Institute, Nehru Marg, Nagpur 440020, India.
Environ Monit Assess. 2007 Nov;134(1-3):453-69. doi: 10.1007/s10661-007-9636-z. Epub 2007 Mar 8.
The mangrove formations of Godavari estuary are due to silting over many centuries. The estuary covers an area of 62,000 ha of which dense Coringa mangrove forest spread in 6,600 ha. Satellite sensor data was used to detect change in the mangrove cover for a period of 12 years (1992-2004). It was found that an area of about 1,250 ha of mangroves was destroyed by anthropogenic interference like aquaculture, and tree felling etc. It was found that mangrove's spectral response/digital number (DN) value is much lower than non-mangrove vegetation such as plantation and paddy fields in SWIR band. By taking this as an advantage, spectral data was utilized for clear demarcation of mangroves from nearby paddy fields and other vegetation. Simpson's diversity index, which is a measure of biodiversity, was found to be 0.09, showing mangroves dominance. Ecological parameters like mud-flats/swamps, mangrove cover alterations, and biodiversity status are studied in detail for a period of 12 years. The increase in mangrove front towards coast was delineated using remote sensing data. The major advantages of remote sensing data is monitoring of change periodically. The combination of moderate and high-resolution data provided detailed coastal land use maps for implementing coastal regulation measures. The classification accuracy has been achieved is 90%. Overall, simple and viable measures are suggested based on multi-spectral data to sustain this sensitive coastal ecology.
戈达瓦里河口的红树林形成是几个世纪以来泥沙淤积的结果。该河口面积达62000公顷,其中茂密的科林加红树林分布在6600公顷的区域。利用卫星传感器数据检测了12年(1992 - 2004年)期间红树林覆盖面积的变化。发现约1250公顷的红树林因水产养殖、砍伐树木等人为干扰而遭到破坏。研究发现,在短波红外波段,红树林的光谱响应/数字值远低于人工林和稻田等非红树林植被。利用这一优势,光谱数据被用于清晰划分红树林与附近稻田及其他植被。作为生物多样性衡量指标的辛普森多样性指数为0.09,表明红树林占主导地位。对泥滩/沼泽、红树林覆盖变化和生物多样性状况等生态参数进行了为期12年的详细研究。利用遥感数据描绘了红树林向海岸方向的增长情况。遥感数据的主要优势在于能够定期监测变化。中分辨率和高分辨率数据相结合,提供了详细的海岸土地利用地图,以实施海岸管制措施。分类精度达到了90%。总体而言,基于多光谱数据提出了简单可行的措施来维持这片敏感的海岸生态。