Dataset Information

Digital soil mapping including additional point sampling in Posses ecosystem services pilot watershed, southeastern Brazil.

ABSTRACT: This study aimed to evaluate the performance of three spatial association models used in digital soil mapping and the effects of additional point sampling in a steep-slope watershed (1,200?ha). A soil survey was carried out and 74 soil profiles were analyzed. The tested models were: Multinomial logistic regression (MLR), C5 decision tree (C5-DT) and Random forest (RF). In order to reduce the effects of an imbalanced dataset on the accuracy of the tested models, additional sampling retrieved by photointerpretation was necessary. Accuracy assessment was based on aggregated data from a proportional 5-fold cross-validation procedure. Extrapolation assessment was based on the multivariate environmental similarity surface (MESS). The RF model including additional sampling (RF*) showed the best performance among the tested models (overall accuracy?=?49%, kappa index?=?0.33). The RF* allowed to link soil mapping units (SMU) and, in the case of less-common soil classes in the watershed, to set specific conditions of occurrence on the space of terrain-attributes. MESS analysis showed reliable outputs for 82.5% of the watershed. SMU distribution across the watershed was: Typic Rhodudult (56%), Typic Hapludult* (13%), Typic Dystrudept (10%), Typic Endoaquent?+?Fluventic Dystrudept (10%), Typic Hapludult (9.5%) and Rhodic Hapludox?+?Typic Hapludox (2%).

SUBMITTER: Silva BPC

PROVIDER: S-EPMC6760152 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature

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Digital soil mapping including additional point sampling in Posses ecosystem services pilot watershed, southeastern Brazil.

Silva Bárbara Pereira Christofaro BPC Silva Marx Leandro Naves MLN Avalos Fabio Arnaldo Pomar FAP de Menezes Michele Duarte MD Curi Nilton N

Scientific reports 20190924 1

This study aimed to evaluate the performance of three spatial association models used in digital soil mapping and the effects of additional point sampling in a steep-slope watershed (1,200 ha). A soil survey was carried out and 74 soil profiles were analyzed. The tested models were: Multinomial logistic regression (MLR), C5 decision tree (C5-DT) and Random forest (RF). In order to reduce the effects of an imbalanced dataset on the accuracy of the tested models, additional sampling retrieved by p ...[more]

PMID: 31551477

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Dataset Information

Digital soil mapping including additional point sampling in Posses ecosystem services pilot watershed, southeastern Brazil.

Publications

Digital soil mapping including additional point sampling in Posses ecosystem services pilot watershed, southeastern Brazil.

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