A NEW APPROACH FOR MAPPING LAND USE / LAND COVER USING GOOGLE EARTH ENGINE: A COMPARISON OF COMPOSITION IMAGES

13 citations as recorded by crossref.

1. Influence of Image Compositing and Multisource Data Fusion on Multitemporal Land Cover Mapping of Two Philippine Watersheds N. Almarines et al. 10.3390/rs16122167
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3. Recursive feature elimination for summer wheat leaf area index using ensemble algorithm-based modeling: The case of central Highland of Ethiopia D. Biru et al. 10.1016/j.envc.2025.101113
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7. A Survey of Changes in Grasslands within the Tonle Sap Lake Landscape from 2004 to 2023 M. Chea et al. 10.3390/d16080448
8. Land-use/cover change and future prediction by integrating the ML techniques of random forest and CA-Markov chain model of the Ganges alluvial tract of Eastern India K. Roy et al. 10.1007/s10668-024-05545-x
9. Upscaling methane fluxes from peatlands across a drainage gradient in Ireland using PlanetScope imagery and machine learning tools R. Ingle et al. 10.1038/s41598-023-38470-6
10. Provision of land use and forest density maps in semi-arid areas of Iran using Sentinel-2 satellite images and vegetation indices S. Eskandari & S. Bordbar 10.1016/j.asr.2024.10.060
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