Abstract
ABSTRACT Soil maps are important to evaluate soil functions and support decision-making process, particularly for soil properties such as pH, carbon content (C), and cation exchange capacity (CEC), but the spatial resolution and soil depth should meet the needs of users. On another hand, the efficiency of statistical models to create soil maps, with an acceptable level of accuracy, often require a large number of samples with an appropriate distribution across the area of interest. However, accessibility for sampling can [...]
Highlights
Soil is a vital part of the natural environment and it has a crucial role in ecosystem functioning (Adhikari and Hartemink, 2016)
The Itatiaia National Park (INP) has an area of 225.54 km2, and it is located in the Serra da Mantiqueira, the border region between the Minas Gerais (MG) and Rio de Janeiro (RJ) States (Barreto et al, 2013)
Since there was no high relation between covariates derived from satellite image and Digital Elevation Model (DEM) (Figure 3), all possible combinations were tested to build the scorpan Generalized Additive Models (GAM) model
Summary
Soil is a vital part of the natural environment and it has a crucial role in ecosystem functioning (Adhikari and Hartemink, 2016). With the progress of digital soil mapping (DSM), there is rising use of 3-D modeling to provide information on soil patterns for applications, from agricultural management to ecosystem services (Zhang et al, 2017) and so on. In terms of the evaluation of predicted results besides the estimation of the errors, such as Accuracy and kappa in a categorical map and R2, RMSE, ME in the continuous map, it is important to evaluate the uncertainty associated with the prediction. This is another important information to guide land management choices and decisionmakers (Poggio and Gimona, 2017a)
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