Fabrício da Silva Terra

Universidade Federal dos Vales do Jequitinhonha e Mucuri

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José Alexandre Melo Demattê

Forest Science and Research Institute

Ingrid Horák‐Terra

Universidade Federal dos Vales do Jequitinhonha e Mucuri

Raphael A. Viscarra Rossel

Curtin University

Gustavo M. Vasques

Brazilian Agricultural Research Corporation

Raúl Roberto Poppiel

Universidade de São Paulo

Leonardo Ramírez-López

Büchi Labortechnik

Rodnei Rizzo

Universidade de São Paulo

Peterson Ricardo Fiorio

Universidade de São Paulo

Alexandre Christófaro Silva

Universidade Federal dos Vales do Jequitinhonha e Mucuri

Wanderson de Sousa Mendes

Food and Agriculture Organization of the United Nations

Cooperative Institutions

Universidade de São Paulo

Forest Science and Research Institute

Brazilian Agricultural Research Corporation

Universidade Federal de Viçosa

Methodist University of Piracicaba

Universidade Federal Rural do Rio de Janeiro

Secretaria de Agricultura e Abastecimento

Universidade Federal dos Vales do Jequitinhonha e Mucuri

Universidade Federal de Lavras

Hospital Universitário da Universidade de São Paulo

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Evaluation of geomorphological approaches combined with digital elevation models for the Nash's instantaneous unit hydrograph

Journal of South American Earth Sciences (2021)

Maíra Martim de Moura Samuel Beskow Fabrício da Silva Terra Carlos Rogério de Mello Zandra Almeida da Cunha

Elevation (ballistics)

10.1016/j.jsames.2020.103153

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Citations (8)

Genesis and properties of wetland soils by VIS-NIR-SWIR as a technique for environmental monitoring

Journal of Environmental Management (2017)

José Alexandre Melo Demattê Ingrid Horák‐Terra Raphael Moreira Beirigo Fabrício da Silva Terra Karina Patrícia Prazeres Marques

Soil carbon

10.1016/j.jenvman.2017.03.014

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Citations (71)

Spectral fusion by Outer Product Analysis (OPA) to improve predictions of soil organic C

Geoderma (2018)

Fabrício da Silva Terra Raphael A. Viscarra Rossel José Alexandre Melo Demattê

Soil carbon

Soil test

10.1016/j.geoderma.2018.08.005

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Citations (43)

Integrating geospatial and multi‐depth laboratory spectral data for mapping soil classes in a geologically complex area in southeastern Brazil

European Journal of Soil Science (2015)

Gustavo M. Vasques José Alexandre Melo Demattê Raphael A. Viscarra Rossel Leonardo Ramírez-López Fabrício da Silva Terra

Summary Soil mapping across large areas can be enhanced by integrating different methods and data sources. This study merges laboratory, field and remote sensing data to create digital maps of soil suborders based on the B razilian S oil C lassification S ystem, with and without additional textural classification, in an area of 13 000 ha in the state of S ão P aulo, southeastern B razil. Data from 289 visited soil profiles were used in multinomial logistic regression to predict soil suborders from geospatial data (geology, topography, emissivity and vegetation index) and visible–near infrared (400–2500 nm) reflectance of soil samples collected at three depths (0–20, 40–60 and 80–100 cm). The derived maps were validated with 47 external observations, and compared with two conventional soil maps at scales of 1:100 000 and 1:20 000. Soil suborders with and without textural classification were predicted correctly for 44 and 52% of the soil profiles, respectively. The derived suborder maps agreed with the 1:100 000 and 1:20 000 conventional maps in 20 and 23% (with textural classification) and 41 and 46% (without textural classification) of the area, respectively. Soils that were well defined along relief gradients ( L atosols and A rgisols) were predicted with up to 91% agreement, whereas soils in complex areas ( C ambisols and N eosols) were poorly predicted. Adding textural classification to suborders considerably degraded classification accuracy; thus modelling at the suborder level alone is recommended. Stream density and laboratory soil reflectance improved all classification models, showing their potential to aid digital soil mapping in complex tropical environments.

Digital Soil Mapping

10.1111/ejss.12255

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Citations (24)

The Brazilian Soil Spectral Library (BSSL): A general view, application and challenges

Geoderma (2019)

José Alexandre Melo Demattê André Carnieletto Dotto Ariane F.S. Paiva Marcus Vinicius Sato Ricardo Simão Diniz Dalmolin

Soil test

Saturation (graph theory)

10.1016/j.geoderma.2019.05.043

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Citations (141)