Comparison of machine and deep learning algorithms using Google Earth Engine and Python for land classifications
Anam Nigar,
Yang Li,
Muhammad Yousuf Jat Baloch
et al.
Abstract:Classifying land use and land cover (LULC) is essential for various environmental monitoring and geospatial analysis applications. This research focuses on land classification in District Sukkur, Pakistan, employing the comparison between machine and deep learning models. Three satellite indices, namely, NDVI, MNDWI, and NDBI, were derived from Landsat-8 data and utilized to classify four primary categories: Built-up Area, Water Bodies, Barren Land, and Vegetation. The main objective of this study is to evalua… Show more
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