Hierarchical Classification of Soybean in the Brazilian Savanna Based on Harmonized Landsat Sentinel Data

Hierarchical Classification of Soybean in the Brazilian Savanna Based on Harmonized Landsat Sentinel Data

The Brazilian Savanna presents a complex agricultural dynamic and cloud cover issues; therefore, there is a need for new strategies for more detailed agricultural monitoring. Using a hierarchical classification system, we explored the Harmonized Landsat Sentinel-2 (HLS) dataset to detect soybean in...

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Bibliographic Details
Main Authors: Taya Cristo Parreiras, Édson Luis Bolfe, Michel Eustáquio Dantas Chaves, Ieda Del’Arco Sanches, Edson Eyji Sano, Daniel de Castro Victoria, Giovana Maranhão Bettiol, Luiz Eduardo Vicente
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Remote Sensing
Subjects:
Cerrado
agriculture monitoring
remote sensing
multisensor
<i>Glycine max</i> L.
HLS
Online Access:https://www.mdpi.com/2072-4292/14/15/3736

Internet

https://www.mdpi.com/2072-4292/14/15/3736

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