Improvement of Clay and Sand Quantification Based on a Novel Approach with a Focus on Multispectral Satellite Images
| Autor: | Wanderson de Sousa Mendes, José Alexandre Melo Demattê, Marston Héracles Domingues Franceschini, Susan L. Ustin, Caio Troula Fongaro, José Lucas Safanelli, André Carnieletto Dotto, Rodnei Rizzo, Luiz Eduardo Vicente |
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| Přispěvatelé: | CAIO TROULA FONGARO, ESALQ-USP, JOSE ALEXANDRE MELO DEMATTE, ESALQ-USP, RODNEI RIZZO, CENA-USP, JOSE LUCAS SAFANELLI, ESALQ-USP, WANDERSON DE SOUSA MENDES, ESALQ-USP, ANDRE CARNIELETTO DOTTO, ESALQ-USP, LUIZ EDUARDO VICENTE, CNPMA, MARSTON HERACLES DOMINGUES FRANCESCHINI, Wageningen University, SUSAN L USTIN, University of California-Davis. |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Mapeamento do solo
010504 meteorology & atmospheric sciences Soil test Satellites Reflectance spectroscopy Multispectral image Imagem de satélite reflectance spectroscopy digital soil mapping precision agriculture bare soil soil degradation satellite imagery Multispectral imagery DEGRADAÇÃO DO SOLO 01 natural sciences Soil degradation Soil map Laboratory of Geo-information Science and Remote Sensing Digital soil mapping Calibration Satellite imagery Laboratorium voor Geo-informatiekunde en Remote Sensing Solo Arenoso lcsh:Science 0105 earth and related environmental sciences Remote sensing Spectral signature Sandy soils Precision agriculture Clay soils Bare soil 04 agricultural and veterinary sciences 040103 agronomy & agriculture Solo Argiloso 0401 agriculture forestry and fisheries General Earth and Planetary Sciences Environmental science lcsh:Q Satélite Sensoriamento Remoto |
| Zdroj: | Remote Sensing, Vol 10, Iss 10, p 1555 (2018) Remote Sensing; Volume 10; Issue 10; Pages: 1555 Remote Sensing 10 (2018) 10 Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual) Universidade de São Paulo (USP) instacron:USP Remote Sensing, 10(10) BASE-Bielefeld Academic Search Engine Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice) Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
| ISSN: | 2072-4292 |
| Popis: | Soil mapping demands large-scale surveys that are costly and time consuming. It is necessary to identify strategies with reduced costs to obtain detailed information for soil mapping. We aimed to compare multispectral satellite image and relief parameters for the quantification and mapping of clay and sand contents. The Temporal Synthetic Spectral (TESS) reflectance and Synthetic Soil Image (SYSI) approaches were used to identify and characterize texture spectral signatures at the image level. Soil samples were collected (0?20 cm depth, 919 points) from an area of 14,614 km 2 in Brazil for reference and model calibration. We compared different prediction approaches: (a) TESS and SYSI; (b) Relief-Derived Covariates (RDC); and (c) SYSI plus RDC. The TESS method produced highly similar behavior to the laboratory convolved data. The sandy textural class showed a greater increase in average spectral reflectance from Band 1 to 7 compared with the clayey class. The prediction using SYSI produced a better result for clay (R 2 = 0.83; RMSE = 65.0 g kg − 1 ) and sand (R 2 = 0.86; RMSE = 79.9 g kg − 1 ). Multispectral satellite images were more stable for the identification of soil properties than relief parameters. Made available in DSpace on 2019-11-19T18:06:17Z (GMT). No. of bitstreams: 1 VicenteClaySandAP2019.pdf: 5760658 bytes, checksum: 13917c295ae9ae53467635bf1a6b245a (MD5) Previous issue date: 2018 |
| Databáze: | OpenAIRE |
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