Mapping Agricultural Intensification in the Brazilian Savanna: A Machine Learning Approach Using Harmonized Data from Landsat Sentinel-2

Mapping Agricultural Intensification in the Brazilian Savanna: A Machine Learning Approach Using Harmonized Data from Landsat Sentinel-2

Agricultural intensification practices have been adopted in the Brazilian savanna (Cerrado), mainly in the transition between Cerrado and the Amazon Forest, to increase productivity while reducing pressure for new land clearing. Due to the growing demand for more sustainable practices, more accurate...

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Bibliographic Details
Main Authors: Édson Luis Bolfe, Taya Cristo Parreiras, Lucas Augusto Pereira da Silva, Edson Eyji Sano, Giovana Maranhão Bettiol, Daniel de Castro Victoria, Ieda Del’Arco Sanches, Luiz Eduardo Vicente
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:ISPRS International Journal of Geo-Information
Subjects:
multisensor
HLS
agriculture
artificial intelligence
remote sensing
Cerrado
Online Access:https://www.mdpi.com/2220-9964/12/7/263

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