Analysis of a Landscape Intensely Modified by Agriculture in the Tietê–Jacaré Watershed, Brazil
AuthorsPeruchi Trevisan, Diego; orcid: 0000-0001-7088-5156; email: firstname.lastname@example.org
Bispo, Polyanna da Conceição; orcid: 0000-0003-0247-8449; email: email@example.com
Gou, Yaqing; email: firstname.lastname@example.org
Fogaça de Souza, Bianca; email: email@example.com
Liesenberg, Veraldo; orcid: 0000-0003-0564-7818; email: firstname.lastname@example.org
Harris, Angela; email: email@example.com
Balzter, Heiko; orcid: 0000-0002-9053-4684; email: firstname.lastname@example.org
Moschini, Luiz Eduardo; orcid: 0000-0001-5829-7618; email: email@example.com
MetadataShow full item record
AbstractAnthropogenic actions influence landscapes, and the resulting mosaic is a mix of natural and anthropogenic elements that vary in size, shape, and pattern. Considering this, our study aimed to analyse the land use and land cover changes in the Tietê–Jacaré watershed (São Paulo state, Brazil), using the random forest (RF) algorithm and Sentinel-2 satellite data from 2016 to 2018 to detect landscape changes. By overlapping the environmental data and the proposed model evaluation, it was possible to observe the landscape structure, produce information about the state of this region, and assess the environmental responses to anthropic impacts. The land use and land cover analysis identified eight classes: exposed soil, citriculture, pasture, silviculture, sugar cane, urban area, vegetation, and water. The RF classification for the three years reached high accuracy with a kappa index of 0.87 in 2016, 0.85 in 2017, and 0.85 in 2018. The model developed was essential for the temporal analysis since it allowed us to comprehend the driving forces that act in this landscape and contribute to the discussions about their impacts over time. The results showed a predominance of agricultural activities over the three years, with approximately 900.000 ha (76% of the area), mainly covered by sugarcane cultivation.
CitationSustainability, volume 13, issue 16, page e9304
DescriptionFrom MDPI via Jisc Publications Router
History: accepted 2021-08-04, pub-electronic 2021-08-19
Publication status: Published
Funder: São Paulo Research Support Foundation; Grant(s): 2015/19918-3, 2018/00162-4, 660020, PR140015
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