Remote sensing imagery detects hydromorphic soils hidden under agriculture system.

Mello, Fellipe A O; Demattê, José A M; Bellinaso, Henrique; Poppiel, Raul R; Rizzo, Rodnei; de Mello, Danilo C; Rosin, Nícolas Augusto; Rosas, Jorge T F; Silvero, Nélida E Q; Rodríguez-Albarracín, Heidy S

Mello, Fellipe A O; Demattê, José A M; Bellinaso, Henrique; Poppiel, Raul R; Rizzo, Rodnei; de Mello, Danilo C; Rosin, Nícolas Augusto; Rosas, Jorge T F; Silvero, Nélida E Q; Rodríguez-Albarracín, Heidy S.

Afiliação

Mello FAO; Department of Soil Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Pádua Dias Av., 11, Postal Box 09, Piracicaba, São Paulo, 13416-900, Brazil.
Demattê JAM; Department of Soil Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Pádua Dias Av., 11, Postal Box 09, Piracicaba, São Paulo, 13416-900, Brazil. jamdemat@usp.br.
Bellinaso H; Department of Soil Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Pádua Dias Av., 11, Postal Box 09, Piracicaba, São Paulo, 13416-900, Brazil.
Poppiel RR; Coordination of Integrate Technical Assistance of Secretariat of Agriculture and Supply-CATI/SAA, Piracicaba Regional, Campos Salles Street, 507, Piracicaba, São Paulo State, 13400-200, Brazil.
Rizzo R; Department of Soil Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Pádua Dias Av., 11, Postal Box 09, Piracicaba, São Paulo, 13416-900, Brazil.
de Mello DC; Department of Soil Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Pádua Dias Av., 11, Postal Box 09, Piracicaba, São Paulo, 13416-900, Brazil.
Rosin NA; Department of Soil Science, Federal University of Viçosa, Peter Henry Rolfs Av.-University Campus, Viçosa, Minas Gerais, 36570-900, Brazil.
Rosas JTF; Department of Soil Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Pádua Dias Av., 11, Postal Box 09, Piracicaba, São Paulo, 13416-900, Brazil.
Silvero NEQ; Department of Soil Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Pádua Dias Av., 11, Postal Box 09, Piracicaba, São Paulo, 13416-900, Brazil.
Rodríguez-Albarracín HS; Department of Soil Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Pádua Dias Av., 11, Postal Box 09, Piracicaba, São Paulo, 13416-900, Brazil.

Sci Rep ; 13(1): 10897, 2023 Jul 05.

Article em En | MEDLINE | ID: mdl-37407589

RESUMO

The pressure for food production has expanded agriculture frontiers worldwide, posing a threat to water resources. For instance, placing crop systems over hydromorphic soils (HS), have a direct impact on groundwater and influence the recharge of riverine ecosystems. Environmental regulations improved over the past decades, but it is difficult to detect and protect these soils. To overcome this issue, we applied a temporal remote sensing strategy to generate a synthetic soil image (SYSI) associated with random forest (RF) to map HS in an 735,953.8 km2 area in Brazil. HS presented different spectral patterns from other soils, allowing the detection by satellite sensors. Slope and SYSI contributed the most for the prediction model using RF with cross validation (accuracy of 0.92). The assessments showed that 14.5% of the study area represented HS, mostly located inside agricultural areas. Soybean and pasture areas had up to 14.9% while sugar cane had just 3%. Here we present an advanced remote sensing technique that may improve the identification of HS under agriculture and assist public policies for their conservation.

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sci Rep Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Brasil País de publicação: Reino Unido

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