Optimum Combination of Spectral Variables for Crop Mapping in Heterogeneous Landscapes based on Sentinel-2 Time Series and Machine Learning

Optimum Combination of Spectral Variables for Crop Mapping in Heterogeneous Landscapes based on Sentinel-2 Time Series and Machine Learning

This article aimed to determine a workflow for more efficient large-scale crop mapping using a time series of images from the Sentinel-2 Satellite, statistical methods of attribute selection, and machine learning. The proposed methodology explores the best possible combination of spectral variables...

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Bibliographic Details
Main Authors: J. G. de Oliveira Júnior, J. C. D. M. Esquerdo, R. A. C. Lamparelli
Format: Article
Language:English
Published: Copernicus Publications 2024-11-01
Series:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://isprs-annals.copernicus.org/articles/X-3-2024/85/2024/isprs-annals-X-3-2024-85-2024.pdf
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