ESTIMATION OF SUGARCANE YIELD USING MULTI-TEMPORAL SENTINEL 2 SATELLITE IMAGERY AND RANDOM FOREST REGRESSION

Advancements in remote sensing techniques have greatly enhanced crop monitoring and yield estimation, with spectral vegetation indices (VIs) serving as a key component. Our study investigates the use of Sentinel-2 data, notable for its red-edge bands, in estimating sugarcane yield in Ethiopia's...

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Bibliographic Details
Main Authors: A. Taravat, G. Abebe, B. Gessesse, T. Tadesse
Format: Article
Language:English
Published: Copernicus Publications 2024-03-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://isprs-archives.copernicus.org/articles/XLVIII-4-W9-2024/357/2024/isprs-archives-XLVIII-4-W9-2024-357-2024.pdf