The main purpose of this paper is to assess the land use and land cover (LULC) changes for thirty years, from 1990–2020, in the Dong Thap Muoi, a flooded land area of the Mekong River Delta of Vietnam using Google Earth Engine and random forest algorithm. The specific purposes are: (1) determine the main LULC classes and (2) compute and analyze the magnitude and rate of changes for these LULC classes. For the above purposes, 128 Landsat images, topographic maps, land use status maps, cadastral maps, and ancillary data were collected and utilized to derive the LULC maps using the random forest classification algorithm. The overall accuracy of the LULC maps for 1990, 2000, 2010, and 2020 are 88.9, 83.5, 87.1, and 85.6%, respectively. The result showed that the unused land was dominant in 1990 with 28.9 % of the total area, but it was primarily converted to the paddy, a new dominant LULC class in 2020 (45.1%). The forest was reduced significantly from 14.4% in 1990 to only 5.5% of the total area in 2020. Whereas at the same time, the built-up increased from 0.3% to 6.2% of the total area. This research may help the authorities design exploitation policies for the Dong Thap Muoi’s socio-economic development and develop a new, stable, and sustainable ecosystem, promoting the advantages of the region, early forming a diversified agricultural structure.

中文翻译：

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谷歌地球引擎在越南南部同塔缪伊地区的土地利用，土地利用变化研究三十年动态

本文的主要目的是使用Google Earth Engine和Google Earth Engine，从1990年至2020年评估越南湄公河三角洲水灾地区同塔木井（Dong Thap Muoi）三十年来的土地利用和土地覆被（LULC）变化。随机森林算法。具体目的是：（1）确定主要的LULC类，以及（2）计算和分析这些LULC类的变化幅度和变化率。出于上述目的，收集了128幅Landsat图像，地形图，土地使用状态图，地籍图和辅助数据，并使用随机森林分类算法将其用于得出LULC图。1990年，2000年，2010年和2020年LULC映射的总体准确性分别为88.9、83.5、87.1和85.6％。结果表明，1990年未利用土地占主导地位，占总面积的28.9％；但它最初被转换为稻谷，即2020年新的主导LULC类（45.1％）。森林从1990年的14.4％大幅减少到2020年的5.5％。与此同时，人工林从总面积的0.3％增加到6.2％。这项研究可以帮助当局设计同塔木井社会经济发展的开发政策，并开发一个新的，稳定的和可持续的生态系统，促进该地区的优势，早日形成多元化的农业结构。