Crop type classification and spatial mapping in River Nile and Northern State, Sudan, using Sentinel-2 satellite data and field observation

Crop type classification and spatial mapping in River Nile and Northern State, Sudan, using Sentinel-2 satellite data and field observation

Maintaining productive farmland necessitates precise crop mapping and identification. While satellite remote sensing makes it possible to generate such maps, there are still issues to resolve, such as how to choose input data and the best classifier algorithm, especially in areas with scarce field d...

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Bibliographic Details
Main Authors: Emad H. E. Yasin, Mahir M. Sharif, Mahadi Y. A. Yahia, Aladdin Y. Othman, Ashraf O. Ibrahim, Manal A. Kheiry, Mazin Musa
Format: Article
Language:English
Published: University of Brawijaya 2024-04-01
Series:Journal of Degraded and Mining Lands Management
Subjects:
crop type classification
ndvi
remote sensing
sentinel-2
spatial mapping
winter cropping patterns
Online Access:https://jdmlm.ub.ac.id/index.php/jdmlm/article/view/16472

Internet

https://jdmlm.ub.ac.id/index.php/jdmlm/article/view/16472

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