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Raúl Roberto Poppiel

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Professor

University of Sao Paulo

Brazil

Research Interests

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Professors in Remote Sensing

Recent Grants

Grant: Close

Satellite imagery and machine learning for sugarcane yield estimation in regions of Sao Paulo state

Open Date: 2023-04-01

Close Date: 2024-03-01

Grant: Close

Mapeamento digital de solos do estado de Goiás por meio de Geotecnologias

Open Date: 2016-03-01

Close Date:

Articles (20)

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2027

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2026

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2023

Collaborators (9)

Nikolaos Tziolas

Assistran Professor

University of Florida

UNITED STATES

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Vidal Barrón

Catedrático

Universidad de Córdoba

SPAIN

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Alexandre Wadoux

Lecturer

James Cook University

AUSTRALIA

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Sabine Chabrillat

Senior researcher, head of the Hyperspectral remote sensing application working group

Leibniz University Hannover

GERMANY

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Nikolaos Tsakiridis

Aristotle University of Thessaloniki

GREECE

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cecile Gomez

Institut de Recherche pour le Développement Délégation Régionale Occitanie

FRANCE

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Emmanuelle Vaudour

Université Paris-Saclay

FRANCE

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Kabindra Adhikari

Senior Research Scientist

Texas A&M AgriLife Research

UNITED STATES

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Andrew Margenot

Assistant Professor

University of Illinois at Urbana-Champaign

UNITED STATES

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Raúl Roberto Poppiel

Research Interests

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Recent Grants

Articles (20)

Vis-NIR and XRF data fusion for soil organic carbon inference: Insights from large-scale spectral libraries and fitness-for-purpose evaluation

Machine Learning and Geospatial Modelling of Soil Zinc: Implications for Crop Nutrition in the Brazilian Cerrado

Assessing the soil capacity to produce food and biomass worldwide

A global soil spectral grid based on space sensing

Optimizing soil texture spatial prediction in the Brazilian Cerrado: Insights from random forest and spectral data

A Sustainable Agricultural Development Index (SADI): Bridging Soil Health, Management, and Socioeconomic Factors

Mapping soil thickness using a mechanistic model and machine learning approaches

Sensoriamento remoto como apoio na determinação da saúde do solo nas mais variadas escalas

Soil health in Latin America and the Caribbean

Space-time mapping of soil organic carbon through remote sensing and machine learning

A Step Forward in Hybrid Soil Laboratory Analysis: Merging Chemometric Corrections, Protocols and Data-Driven Methods

Geotechnologies on the phosphorus stocks determination in tropical soils: General impacts on society

Sand subfractions by proximal and satellite sensing: Optimizing agricultural expansion in tropical sandy soils

The Brazilian Soil Spectral Library data opening,Открытая библиотека спектральных почвенных данных Бразилии

The Use of Vis-NIR-SWIR Spectroscopy and X-ray Fluorescence in the Development of Predictive Models: A Step forward in the Quantification of Nitrogen, Total Organic Carbon and Humic Fractions in Ferralsols

Mapping Brazilian soil mineralogy using proximal and remote sensing data

Remote sensing of the Earth's soil color in space and time

Digital Mapping of Topsoil Texture Classes Using a Hybridized Classical Statistics–Artificial Neural Networks Approach and Relief Data

Remote sensing imagery detects hydromorphic soils hidden under agriculture system

Sensor-based field methods for pedology and soil surveys: Protocol suggestions for Brazilian tropical soils

Collaborators (9)

Nikolaos Tziolas

Vidal Barrón

Alexandre Wadoux

Sabine Chabrillat

Nikolaos Tsakiridis

cecile Gomez

Emmanuelle Vaudour

Kabindra Adhikari

Andrew Margenot

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