Abstract:Multitemporal collections of satellite images and their products have recently been explored in digital soil mapping. This study aimed to produce a bare soil image (BSI) for the São Paulo State (Brazil) to perform a pedometric analysis for different geographical levels. First, we assessed the potential of the BSI for predicting the surface (0.00-0.20 m) and subsurface (0.80-1.00 m) clay, iron oxides (Fe 2 O 3 ), aluminum (m%) and bases saturation (V%) contents at the state level, which are important properties… Show more
“…K-means clustering was first performed on raw spectra compressed by principal component analysis by testing up to 20 clusters. The optimal number of clusters was determined using the Elbow method with the Akaike Information Criterion (Dotto et al, 2020;Safanelli et al, 2021). The proportion of samples belonging to a cluster was estimated for each instrument and the cluster with the majority was defined as representing the instrument.…”
Section: Statistical Analysis and Comparisonsmentioning
“…K-means clustering was first performed on raw spectra compressed by principal component analysis by testing up to 20 clusters. The optimal number of clusters was determined using the Elbow method with the Akaike Information Criterion (Dotto et al, 2020;Safanelli et al, 2021). The proportion of samples belonging to a cluster was estimated for each instrument and the cluster with the majority was defined as representing the instrument.…”
Section: Statistical Analysis and Comparisonsmentioning
“…It was not possible to use the factors as climate, parental material, time and organisms, due to low spatial resolution or lack of information. To represent the relief factor, we consider environmental covariates that were previously used to predict soil attributes with satisfactory results in Safanelli et al (2021b). These terrain attributes were as follows: slope, altitude, north and east slope, horizontal curvature, vertical curvature, and a relief shape index.…”
Section: Environmental Covariatesmentioning
confidence: 99%
“…Among the environmental covariates, the most commonly used ones are digital elevation models, vegetation indices, climate covariates, geological maps, and surface reflectance obtained by satellites . In addition to these covariates, recent studies propose using environmental covariates that represent bare soil reflectance (Rosin et al, 2023;Safanelli et al, 2021b). Despite the great potential of bare soil reflectance in DSM, obtaining this reflectance is a major challenge due to the vegetation present on soils most of the time.…”
Fine scale mapping of phosphorus stocks in brazilian soils by geotechnologies: implications for a sustainable agriculture/Jorge Tadeu Fim Rosas. --Piracicaba, 2023.
p.Tese (Doutorado) --USP / Escola Superior de Agricultura "Luiz de Queiroz".1. Aprendizagem de máquina 2. Mapeamento digital de solos 3.Sensoriamento remoto 4. Solos tropicais I. Título
Soil degradation determined by temporal satellite images and environmental variables in São Paulo State, Brazilversão revisada de acordo com a resolução CoPGr 6018 de 2011
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