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首页> 外文期刊>Tropical Ecology >Mapping and dynamic analysis of mangrove forest during 2009-2019 using landsat-5 and sentinel-2 satellite data along Odisha Coast
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Mapping and dynamic analysis of mangrove forest during 2009-2019 using landsat-5 and sentinel-2 satellite data along Odisha Coast

机译:沿Odisha海岸陆地沿岸的Mangrove森林的测绘与动力分析2009 - 2019年

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摘要

Mangrove forests in India are situated along the tidal sea edge of the Arabian Sea and Bay of Bengal which is under threat from both natural and human-induced land-use changes. The multi-temporal satellite data and image processing techniques are usually employed to monitor changes in vegetation dynamics. In this study, the decadal changes of mangrove forests were accomplished along the Odisha coast, India using the Landsat-5 and Sentinel-2A satellite data for 2009 and 2019, respectively. The satellite data were obtained and processed in the Google Earth Engine (GEE) platform. This study aims to derive the spatial extent of mangrove using the high-resolution satellite data and support vector machine (SVM) classifier. The result reveals that the total mangrove extent increased from 222.43 km(2)(2009) to 252.47 km(2)(2019) which indicates an increase in area by 30.04 km(2)(or 13.5%) during the last one decade. The highest increase in mangrove area was in Hatamudia Reserve Forest (15.54 km(2)) and coastal belt of Bhadrak (9.46 km(2)) followed by Bhitarkanika National Park in Kendrapara (3.05 km(2)), Baranaula and Akumi River estuary in Jagatsinghpur (1.12 km(2)), and Subarnarekha River intertidal zone in Baleshwar (0.87 km(2)). A significant increase in mangrove forests occurred due to plantation, awareness, restoration, and coastal zone management plan. This study demonstrates the potential of high-resolution satellite data to produce an accurate map in monitoring changes in mangrove forests at a decadal time-scale by using the GEE platform which can help in planning conservation strategies and priorities.
机译:印度的红树林森林沿着阿拉伯海和孟加拉海湾的潮汐海缘,受到自然和人类诱导的土地使用变化的威胁。通常采用多时间卫星数据和图像处理技术来监测植被动态的变化。在这项研究中,红树林森林的二等变化是沿着奥迪沙海岸,分别使用2009年和2019年的Landsat-5和Sentinel-2a卫星数据完成。在Google地球发动机(GEE)平台中获得并加工卫星数据。本研究旨在使用高分辨率卫星数据和支持向量机(SVM)分类器来得出红树林的空间程度。结果表明,红树林范围从222.43公里(2)(2009)增加到252.47 km(2)(2019)增加,这表明在过去十年中增加了30.04公里(或13.5%)。红树林区的最高增加在哈美菊遗留林(15.54公里(2)厘米)和巴达拉克的沿海腰带(9.46公里(2)),然后是Kendrapara的Bhitarkanika国家公园(3.05公里(2)),Baranaula和Akumi River河口在Jagatsinghpur(1.12公里(2))和Baleshwar的Subarnarekha河跨境区(0.87公里(2))。由于种植园,意识,恢复和沿海地区管理计划,发生了红树林的显着增加。本研究展示了高分辨率卫星数据的潜力,以通过使用GEE平台在分型时间尺度下产生准确的地图,以便通过使用GEE平台在规划保护策略和优先事项中有所帮助地监测红树林林的变化。

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