Digital soil mapping using reference area and artificial neural networks

Autor: Gustavo Pais de Arruda, José A. M. Demattê, César da Silva Chagas, Peterson Ricardo Fiorio, Arnaldo Barros e Souza, Caio Troula Fongaro

Publikováno v: Scientia Agricola, Vol 73, Iss 3, Pp 266-273 (2016)

ABSTRACT Digital soil mapping is an alternative for the recognition of soil classes in areas where pedological surveys are not available. The main aim of this study was to obtain a digital soil map using artificial neural networks (ANN) and environme

Externí odkaz: https://doaj.org/article/2b692d618b6a41c8bb74fda97ee3028d

Morphological Interpretation of Reflectance Spectrum (MIRS) using libraries looking towards soil classification

Autor: José Alexandre Melo Demattê, Henrique Bellinaso, Danilo Jefferson Romero, Caio Troula Fongaro

Publikováno v: Scientia Agricola, Vol 71, Iss 6, Pp 509-520 (2014)

The search for tools to perform soil surveying faster and cheaper has led to the development of technological innovations such as remote sensing (RS) and the so-called spectral libraries in recent years. However, there are no studies which collate al

Externí odkaz: https://doaj.org/article/7aeecd8117004d00ac0184b9dc63a1c4

Espectroscopia VIS-NIR-SWIR na avaliação de solos ao longo de uma topossequência em Piracicaba (SP)

Autor: José A. M. Demattê, Suzana Romero Araújo, Peterson Ricardo Fiorio, Caio Troula Fongaro, Marcos Rafael Nanni

Publikováno v: Revista Ciência Agronômica, Vol 46, Iss 4, Pp 679-688

RESUMOObjetivou-se neste trabalho caracterizar diferentes solos por espectrorradiometria de reflectância ao longo de uma topossequência na região de Piracicaba, SP. Amostras de solo foram coletadas e analisadas em campo, em laboratório de anális

Externí odkaz: https://doaj.org/article/274719460b074aeaae0623ee4b884e18

Is it possible to map subsurface soil attributes by satellite spectral transfer models?

Autor: Caio Troula Fongaro, Wanderson de Sousa Mendes, Bruna Cristina Gallo, José Lucas Safanelli, José Alexandre Melo Demattê, Luiz G. Medeiros Neto, Rodnei Rizzo

Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP

It is impossible to make pedological maps without understanding subsurface attributes. Several strategies can be used for soil mapping, from a tacit knowledge to mathematical modeling. However, there are still gaps in knowledge regarding how to optim

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ddba407eee10aed88a45936d3a25b4a
https://doi.org/10.1016/j.geoderma.2019.01.025

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

Publikováno v: 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

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 param

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17033fd847e031d32f8788fde43022e0
http://www.mdpi.com/2072-4292/10/10/1555