Fausto Weimar Acérbi Júnior

Object-based random forest modelling of aboveground forest biomass outperforms a pixel-based approach in a heterogeneous and mountain tropical environment

Eduarda Martiniano de Oliveira Silveira, Sérgio Henrique Godinho Silva, Fausto Weimar Acérbi Júnior et al. · International Journal of Applied Earth Observation and Geoinformation · 2019 · 109 citations

Natural Resources, Earth Sciences, Forestry +17

Modelling spatially distributed soil losses and sediment yield in the upper Grande River Basin - Brazil

Pedro Velloso Gomes Batista, Marx Leandro Naves Silva, Bárbara Pereira Christófaro Silva et al. · CATENA · 2017 · 91 citations · Full text

Natural Sciences, Earth Sciences, Soil Sciences +16

Rapid soil fertility prediction using X-ray fluorescence data and machine learning algorithms

Lucas Benedet, Salvador Francisco Acuña-Guzman, Wilson Missina Faria et al. · CATENA · 2020 · 88 citations

Agriculture, Earth Sciences, Soil Sciences +16

Soil texture prediction in tropical soils: A portable X-ray fluorescence spectrometry approach

Sérgio Henrique Godinho Silva, David C. Weindorf, Leandro Campos Pinto et al. · Geoderma · 2019 · 74 citations

Agriculture, Earth Sciences, Soil Sciences +13

Spatial prediction of basal area and volume in Eucalyptus stands using Landsat TM data: an assessment of prediction methods

Aliny Aparecida dos Reis, Mônica Canaan Carvalho, José Márcio de Mello et al. · New Zealand journal of forestry science · 2018 · 62 citations · Full text

Natural Resources, Forestry, Forest Inventory +16