Optimizing Land Use Classification Using Google Earth Engine: A Comparative Analysis of Machine Learning Algorithms
Land use and land cover (LULC) mapping provides crucial information for sustainable development, urban planning, disaster risk assessment, and mitigation. Various approaches are used for LULC classification in remote sensing, but machine learning has recently gained significant popularity. This pape...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-07-01
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| Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://isprs-annals.copernicus.org/articles/X-G-2025/863/2025/isprs-annals-X-G-2025-863-2025.pdf |
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