The research goal is to analyze terrain attributes obtained from a digital elevation model (DEM) to represent soil forming factors used in digital soil mapping at Bom Jardim county, Rio de Janeiro state, and also to delimit arable areas. The DEM was generated to represent the altimetry of the study area, and subsequently, the basic attributes of the terrain were extracted: slope, slope height, aspect, valley depth index, topographic moisture index and factor - LS. Soil properties were correlated with terrain attributes through a Spearman correlation method. It is concluded that, the terrain covariates derived from the digital elevation model can represent the soil forming factors and be used at the digital soil mapping of the area, as well ...
ABSTRACT: Increasingly, applications of machine learning techniques for digital soil mapping (DSM) a...
Os modelos digitais de elevação (MDEs) são fontes fundamentais para correlacionar a ocorrência e dis...
Os modelos digitais de elevação (MDEs) são fontes fundamentais para correlacionar a ocorrência e dis...
INRA UMR LISAH : Equipe Organisation Spatiale et Fonctionnement des Paysages Cultivés waldir.carvalh...
ABSTRACT Terrain attributes (TAs) derived from digital elevation models (DEMs) are frequently used i...
Digital terrain modeling has revolutionized the way topography is characterized and analyzed. Its ap...
Coordenação de Aperfeiçoamento de Pessoal de Nível SuperiorThe requirement for quantitative soil inf...
This paper applied pedological mapping in an experimental center of APTA-Frutas in Jundiaí São Paulo...
Soil properties have an enormous impact on economic and environmental aspects of agricultural produc...
The development of methods in digital soil mapping has been an activity that's growing substantially...
Soil properties have an enormous impact on economic and environmental aspects of agricultural produc...
INRA UMR LISAH : Équipe Organisation Spatiale et Fonctionnement des Paysages CultivésSoil properties...
Soil properties have an enormous impact on economic and environmental aspects of agricultural produc...
Aero geophysical data is becoming an important source of environmental covariate in digital mapping....
ABSTRACT: Increasingly, applications of machine learning techniques for digital soil mapping (DSM) a...
ABSTRACT: Increasingly, applications of machine learning techniques for digital soil mapping (DSM) a...
Os modelos digitais de elevação (MDEs) são fontes fundamentais para correlacionar a ocorrência e dis...
Os modelos digitais de elevação (MDEs) são fontes fundamentais para correlacionar a ocorrência e dis...
INRA UMR LISAH : Equipe Organisation Spatiale et Fonctionnement des Paysages Cultivés waldir.carvalh...
ABSTRACT Terrain attributes (TAs) derived from digital elevation models (DEMs) are frequently used i...
Digital terrain modeling has revolutionized the way topography is characterized and analyzed. Its ap...
Coordenação de Aperfeiçoamento de Pessoal de Nível SuperiorThe requirement for quantitative soil inf...
This paper applied pedological mapping in an experimental center of APTA-Frutas in Jundiaí São Paulo...
Soil properties have an enormous impact on economic and environmental aspects of agricultural produc...
The development of methods in digital soil mapping has been an activity that's growing substantially...
Soil properties have an enormous impact on economic and environmental aspects of agricultural produc...
INRA UMR LISAH : Équipe Organisation Spatiale et Fonctionnement des Paysages CultivésSoil properties...
Soil properties have an enormous impact on economic and environmental aspects of agricultural produc...
Aero geophysical data is becoming an important source of environmental covariate in digital mapping....
ABSTRACT: Increasingly, applications of machine learning techniques for digital soil mapping (DSM) a...
ABSTRACT: Increasingly, applications of machine learning techniques for digital soil mapping (DSM) a...
Os modelos digitais de elevação (MDEs) são fontes fundamentais para correlacionar a ocorrência e dis...
Os modelos digitais de elevação (MDEs) são fontes fundamentais para correlacionar a ocorrência e dis...