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Integration of Machine Learning and Open Access Geospatial Data for Land Cover Mapping
In-time and accurate monitoring of land cover and land use are essential tools for countries to achieve sustainable food production. However, many developing countries are struggling to efficiently monitor land resources due to the lack of financial support and limited access to adequate technology. This study aims at offering a solution to fill in such a gap in developing countries, by developing a land cover solution that is free of costs. A fully automated framework for land cover mappingdoi:10.3390/rs11161907 fatcat:xx2zmf7lubghza6seo4lpbs4um