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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| Hauptverfasser: | , , |
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| Format: | Artigo |
| Sprache: | Inglês |
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Copernicus Publications
2024-11-01
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| Schriftenreihe: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online-Zugang: | https://isprs-annals.copernicus.org/articles/X-3-2024/85/2024/isprs-annals-X-3-2024-85-2024.pdf |
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