COMPARISON OF THE CLASSIFICATION OF LAND USE AND COVERAGE IN LANDSAT-8 AND SENTINEL-2 IMAGES IN THE CERRADO MARENHENSE

被引：0
|
作者：
Pereira, Paulo Roberto Mendes [1 ]
Oliveira, Mariana Monteiro Navarro de [1 ]
Bolfe, Edson Luis [1 ,2 ]
Macarringue, Lucrencio Silvestre [1 ]
机构：
[1] Univ Estadual Campinas UNICAMP, Campinas, SP, Brazil
[2] Empresa Brasileira Pesquisa Agr Embrapa, Lavras, Brazil
来源：
GEO UERJ | 2023年 / 42期
关键词：
Clasificacion digital; cerrado; aprendizaje automatico; datos de multiples fuentes; Balsas-MA;
D O I：
10.12957/geouerj.2023.66306
中图分类号：
P9 [自然地理学]; K9 [地理];
学科分类号：
0705 ; 070501 ;
摘要：
Land use and land cover maps are basic tools for a detailed understanding of spatial organization patterns, an essential tool for agro-environmental management. This article aimed to compare and evaluate the accuracy of the digital classification of land use and land cover for the Cerrado of Maranhao, using OLI (Operational Terra Imager) images from Landsat-8 and MSI (Multispectral Instrument) from Sentinel-2. The analyzed images are from 2021, which were pre-processed, segmented and classified using the Random Forest algorithm. The analyzes showed that both classifications were qualified as "very good", obtaining Kappa Index (0.706) and Global Accuracy (76%) for the OLI images and Kappa Index (0.775) and Global Accuracy (84%) for the images MSI. The results obtained can support the planning and execution of new agricultural mapping and monitoring in the Cerrado, positively influencing the decision-making of research groups.
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页数：21
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