Soybean mapping using Landsat and Sentinel-2 images in the municipalities of Lages and Capão Alto in Santa Catarina

• Autor(a) principal: Dalla Betta, Marina Marly
• Data de Publicação: 2022
• Outros Autores: Trabaquini, Kleber, Tavares Elias, Haroldo, Silva, Murilo Schramm da
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Agropecuária Catarinense (Online)
• Texto Completo: https://publicacoes.epagri.sc.gov.br/rac/article/view/1347
• topic: Glycine max L; Remote Sensing; Satellite; Glycine max L; Sensoriamento Remoto; Satélite

Soybean is a crop whose increase in world supply has doubled in recent years, driven by greater human and animal consumption. The objective of this study was to map the soybean planted area in the municipalities of Lages and Capão Alto using remote sensing techniques in the 2012/2013 and 2020/2021 harvests. Images from the Landsat-7, Landsat-8 and Sentinel-2 satellites were used and the identification of the areas was made through visual interpretation of the images submitted to an RGB composition that allowed the soybean to be highlighted. The results were compared with official data from Epagri/Cepa, showing a 23% and 6% difference between the methods for the 2012/2013 and 2020/2021 harvests, respectively. An increase in area of ​​13 thousand ha was found between harvests and that the conversion has occurred mainly on native fields. The comparison with altitude and slope data also indicated that the expansion migrated to higher areas and remained in the smooth-wavy relief classification.