Abstract—

Last few decades there are lots of changes in Southeast Asia land cover due to development, industrialization, increasing population, socio-economic activities, and food demands. This research work analysis the maximum likelihood supervised classification approach for Southeast Asia land cover mapping and changes at 30m resolution from 2010 to 2019 using Landsat 8 OLI (Operational Land Imager) satellite data. The resulted maps cover eight land cover classes as barren land, cultivated, developed (built-up area), forest, grassland, shrubland, water, and wetland in Myanmar, Laos, Vietnam, Thailand, Cambodia, and North Malaysia Southeast Asia countries with very high accurate informative information. The resulted maps and information in this paper are very useful to researchers, regional to a national and international level decision and policy makers for sustainable development, fortification of natural resources at the same time protection of fragile eco-environment in Southeast Asia so that they will utilize in future.

中文翻译：

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自2010年以来以变化的30 m空间分辨率绘制的2019年东南亚土地覆盖图

摘要—

过去几十年，由于发展，工业化，人口增长，社会经济活动和粮食需求，东南亚的土地覆盖发生了许多变化。这项研究工作使用Landsat 8 OLI（Operational Land Imager）卫星数据，分析了2010年至2019年东南亚地区土地覆盖物测绘和变化30m分辨率的最大似然监督分类方法。生成的地图涵盖了缅甸，老挝，越南，泰国，柬埔寨和北马来西亚东南亚国家的八种土地覆盖类别，分别是荒地，耕地，开发（建成区），森林，草原，灌木丛，水和湿地。非常准确的信息。本文中得出的地图和信息对研究人员非常有用，