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 km² (2009) to 252.47 km² (2019) which indicates an increase in area by 30.04 km² (or 13.5%) during the last one decade. The highest increase in mangrove area was in Hatamudia Reserve Forest (15.54 km²) and coastal belt of Bhadrak (9.46 km²) followed by Bhitarkanika National Park in Kendrapara (3.05 km²), Baranaula and Akumi River estuary in Jagatsinghpur (1.12 km²), and Subarnarekha River intertidal zone in Baleshwar (0.87 km²). 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.

印度的红树林位于阿拉伯海和孟加拉湾的潮汐海沿，受到自然和人为土地利用变化的威胁。通常采用多时相卫星数据和图像处理技术来监测植被动态变化。在这项研究中，分别使用2009年和2019年的Landsat-5和Sentinel-2A卫星数据完成了印度奥里萨邦沿岸红树林的年代际变化。卫星数据已在Google Earth Engine（GEE）平台中获得并处理。这项研究旨在利用高分辨率卫星数据和支持向量机（SVM）分类器得出红树林的空间范围。结果表明，红树林总面积从222.43 km ²增加（2009）增加到252.47 km ²（2019），这表明过去十年来面积增加了30.04 km ²（或13.5％）。红树林面积增加最多的地区是Hatamudia储备林（15.54 km ²）和Bhadrak沿海带（9.46 km ²），其次是Kendrapara的Bhitarkanika国家公园（3.05 km ²），Jagatsinghpur的Baranaula和Akumi河口（1.12 km ^2）。）和Baleshwar的Subarnarekha河潮间带（0.87 km ²）。由于人工林，意识，恢复和沿海地区管理计划，红树林的数量大大增加。这项研究证明了高分辨率卫星数据通过使用GEE平台可以在十年时间尺度上监测红树林的变化而产生准确的地图的潜力，该平台可以帮助规划保护战略和优先重点。