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...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	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
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2023-07-01
Sarja:	ISPRS International Journal of Geo-Information
Aiheet:	multisensor HLS agriculture artificial intelligence remote sensing Cerrado
Linkit:	https://www.mdpi.com/2220-9964/12/7/263
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