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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Soil class map of the Rio Jardim watershed in Central Brazil at 30 meter spatial resolution based on proximal and remote sensed data and MESMA method

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Autor(es):
Poppiel, Raul R. [1] ; Lacerda, Marilusa P. C. [1] ; Dematte, Jose A. M. [2] ; Oliveira, Jr., Manuel P. [1] ; Gallo, Bruna C. [2] ; Safanelli, Jose L. [2]
Número total de Autores: 6
Afiliação do(s) autor(es):
[1] Univ Brasilia, Fac Agron & Vet Med, Darcy Ribeiro Univ Campus, Postal Box 4508, BR-70910960 Brasilia, DF - Brazil
[2] Univ Sao Paulo, Dept Soil Sci, Coll Agr Luiz Queiroz, Padua Dias Av 11, Postal Box 09, BR-13416900 Piracicaba, SP - Brazil
Número total de Afiliações: 2
Tipo de documento: Artigo Científico
Fonte: DATA IN BRIEF; v. 25, AUG 2019.
Citações Web of Science: 0
Resumo

Geospatial soil information is critical for agricultural policy formulation and decision making, land-use suitability analysis, sustainable soil management, environmental assessment, and other research topics that are of vital importance to agriculture and economy. Proximal and Remote sensing technologies enables us to collect, process, and analyze spectral data and to retrieve, synthesize, visualize valuable geospatial information for multi-disciplinary uses. We obtained the soil class map provided in this article by processing and analyzing proximal and remote sensed data from soil samples collected in toposequences based on pedomorphogeological relashionships. The soils were classified up to the second categorical level (suborder) of the Brazilian Soil Classification System (SiBCS), as well as in the World Reference Base (WRB) and United States Soil Taxonomy (ST) systems. The raster map has 30 m resolution and its accuracy is 73% (Kappa coefficient of 0.73). The soil legend represents a soil class followed by its topsoil color. (C) 2019 The Authors. Published by Elsevier Inc. (AU)

Processo FAPESP: 16/01597-9 - Pedotransferência por geotecnologias associada à fotopedologia com vistas ao mapeamento pedológico de áreas agrícolas do estado de São Paulo
Beneficiário:José Lucas Safanelli
Modalidade de apoio: Bolsas no Brasil - Doutorado Direto