Wanderson de Sousa Mendes

The influence of training sample size on the accuracy of deep learning models for the prediction of soil properties with near-infrared spectroscopy data

Wartini Ng, Budiman Minasny, Wanderson de Sousa Mendes et al. · SOIL · 2020 · 182 citations · Full text

Artificial Intelligence, Convolutional Neural Network, Deep Neural Networks +11

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

José Alexandre Melo Demattê, André Carnieletto Dotto, Ariane F.S. Paiva et al. · Geoderma · 2019 · 172 citations · Full text

Biogeochemistry, Environmental Monitoring, Engineering +10

Soil variability and quantification based on Sentinel-2 and Landsat-8 bare soil images: A comparison

Nélida Elizabet Quiñonez Silvero, José Alexandre Melo Demattê, Merilyn Taynara Accorsi Amorim et al. · Remote Sensing of Environment · 2020 · 137 citations

Soil Characterization, Precision Agriculture, Environmental Monitoring +14

Bare Earth’s Surface Spectra as a Proxy for Soil Resource Monitoring

José Alexandre Melo Demattê, José Lucas Safanelli, Raúl Roberto Poppiel et al. · Scientific Reports · 2020 · 130 citations · Full text

Multi-Temporal Satellite Images on Topsoil Attribute Quantification and the Relationship with Soil Classes and Geology

Bruna Cristina Gallo, José Alexandre Melo Demattê, Rodnei Rizzo et al. · Remote Sensing · 2018 · 124 citations · Full text

Environmental Monitoring, Engineering, Land Use +20