remote sensing framework to map potential toxic elements in agricultural soils in the humid tropic

Autor(es):Mostrar menos -

Mendes, Wanderson de Sousa ^[1] ; Dematte, Jose A. M. ^[2] ; de Resende, Maria Eduarda B. ^[2] ; Ruiz, Luiz Fernando Chimelo ^[2] ; de Mello, Danilo Cesar ^[2] ; Rosas, Jorge Tadeu Fim ^[2] ; Silvero, Nelida Elizabet Quinonez ^[2] ; Alleoni, Luis Reynaldo Ferracciu ^[2] ; Colzato, Marina ^[2] ; Rosin, Nicolas Augusto ^[2] ; Campos, Lucas Rabelo ^[2]

Afiliação do(s) autor(es)

^[1] Landscape Pedol Working Grp, Leibniz Ctr Agr Landscape Res ZALF Muncheberg, Res Area 1 Landscape Functioning, D-15374 Muncheberg - Germany

^[2] Univ Sao Paulo, Luiz Queiroz Coll Agr, Dept Soil Sci, Av Padua Dias 11, Portal Box 9, BR-13418140 Sao Paulo - Brazil

• Tipo de documento: Artigo Científico
• Fonte: Environmental Pollution; v. 292, n. B JAN 1 2022.
• Citações Web of Science: 1

Resumo

Soil contamination by potentially toxic elements (PTEs) is one of the greatest threats to environmental degradation. Knowing where PTEs accumulated in soil can mitigate their adverse effects on plants, animals, and human health. We evaluated the potential of using long-term remote sensing images that reveal the bare soils, to detect and map PTEs in agricultural fields. In this study, 360 soil samples were collected at the superficial layer (0-20 cm) in a 2574 km(2) agricultural area located in Sao Paulo State, Brazil. We tested the Soil Synthetic Image (SYSI) using Landsat TM/ETM/ETM+, Landsat OLI, and Sentinel 2 images. The three products have different spectral, temporal, and spatial resolutions. The time series multispectral images were used to reveal areas with bare soil and their spectra were used as predictors of soil chromium, iron, nickel, and zinc contents. We observed a strong linear relationship (-0.26 > r > -0.62) between the selected PTEs and the near infrared (NIR) and shortwave infrared (SWIR) bands of Sentinel (ensemble of 4 years of data), Landsat TM (35 years data), and Landsat OLI (4 years data). The clearest discrimination of soil PTEs was obtained from SYSI using a long term Landsat 5 collection over 35 years. Satellite data could efficiently detect the contents of PTEs in soils due to their relation with soil attributes and parent materials. Therefore, distinct satellite sensors could map the PTEs on tropics and assist in understanding their spatial dynamics and environmental effects. (AU)

• Processo FAPESP: 16/26124-6 - Pedologia de precisão: caracterização e mapeamento de solos em tempo real por geotecnologias
• Beneficiário: Wanderson de Sousa Mendes
• Modalidade de apoio: Bolsas no Brasil - Doutorado Direto
• Processo FAPESP: 14/22262-0 - Geotecnologias no mapeamento digital pedológico detalhado e biblioteca espectral de solos do Brasil: desenvolvimento e aplicações
• Beneficiário: José Alexandre Melo Demattê
• Modalidade de apoio: Auxílio à Pesquisa - Temático