Diego Ribeiro Oquendo Cabrero

ORCID: 0000-0003-2894-0857
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About
Contact & Profiles
Research Areas
  • Soil Geostatistics and Mapping
  • Geochemistry and Geologic Mapping
  • Geophysical and Geoelectrical Methods
  • Soil erosion and sediment transport
  • Soil Carbon and Nitrogen Dynamics
  • Agricultural and Food Sciences
  • Soil and Unsaturated Flow
  • Education during COVID-19 pandemic
  • Education Pedagogy and Practices
  • Remote-Sensing Image Classification
  • Image Processing and 3D Reconstruction

Universidade Federal de Mato Grosso do Sul
2021-2023

Abstract. Geophysical sensors combined with machine learning algorithms were used to understand the pedosphere system and landscape processes model soil attributes. In this research, we parent material, terrain attributes, data from geophysical in different combinations test compare novel We also analyzed importance of pedoenvironmental variables predictive models. For that, collected physicochemical (gamma-ray emission uranium, thorium, potassium; magnetic susceptibility apparent electric...

10.5194/gmd-15-1219-2022 article EN cc-by Geoscientific model development 2022-02-10

Soil apparent electrical conductivity (ECa) is related to various soil attributes and processes. This research aimed understand the relationship between ECa paedogenesis, lithology attributes. The study area located in São Paulo State, Brazil. samples were collected for physical-chemical analysis from 79 locations (0–20 cm layer). A geophysical field-portable equipment (Geonics EM38-MK2 meter) was used measure ECa. For that, four toposequences selected on landscape. Sixteen profiles...

10.1080/10106049.2022.2076913 article EN Geocarto International 2022-05-11

Diante da atual situação de Pandemia declarada pela Organização Mundial Saúde, em março 2020, decorrente dispersão rápida do Coronavírus, cuja doença principal – a COVID-19 pode causar superlotação dos serviços públicos saúde e acentuar as perdas vida população, surgem questionamentos relativos ao quão vulnerável os territórios estão relação esse fenômeno perigosidade, e, para além disso, qual o grau risco que populações expostas, considerando características territórios. Nesse sentido,...

10.14393/hygeia0054402 article PT cc-by-nc-nd Hygeia - Revista Brasileira de Geografia Médica e da Saúde 2020-06-18

Abstract. Geophysical sensors combined with machine learning algorithms have been used to understand the pedosphere system, landscape processes and model soil attributes. In this research, we parent material, terrain attributes data from geophysical in different combinations, test compare novel Also, analyzed importance of pedoenvironmental variables predictive models. For that, collected physico-chemical (gamma-ray emission uranium, thorium potassium, magnetic susceptibility apparent...

10.5194/gmd-2021-153 article EN cc-by 2021-07-16

Abstract. Weathering is widely used for pedogenesis and soil fertility studies, once it affects several attributes. Understanding the intensities of weathering can provide answers environmental issues, geosciences studies. Recently, there are available geotechnologies (such as geophysics machine learning algorithms) that be applied in science to pedosphere information. In this research, we performed a method evaluate intensity heterogeneous tropical area by proximal remote sensing data...

10.5194/soil-2022-17 preprint EN cc-by 2022-06-09

A região fronteiriça de Corumbá (MS) está localizada entre o Brasil e a Bolívia, sendo formada também pela cidade brasileira Ladário as cidades bolivianas Puerto Quijarro Suarez. Para definir área estudo foi realizado um recorte dos municípios com criação buffer 8km partir da sede munícipios. O objetivo deste trabalho analisar mudanças ocorridas no uso cobertura terra os anos 1975, 1985, 1994, 2005 2017 enfoque na construída, utilizando imagens Landsat. processo análise multitemporal das...

10.55028/agb-tl.v1i36.12744 article PT cc-by-nc Revista Eletrônica da Associação dos Geógrafos Brasileiros Seção Três Lagoas - (ISSN 1808-2653) 2023-03-17

Geophysical techniques applied to soils and machine learning algorithms have been used understand the dynamics of pedosphere model soil attributes, but studies exploring spatial prediction geophysical data are still scarce. In this research, we aimed map attributes using parent material terrain with different algorithms. addition, tested nested leave-one-out cross validation (nested-LOOCV) methodology deal datasets a small number samples. We collected physico-chemical (gamma-ray emission...

10.2139/ssrn.3991690 article EN SSRN Electronic Journal 2021-01-01
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