Camile Söthe

Comparative performance of convolutional neural network, weighted and conventional support vector machine and random forest for classifying tree species using hyperspectral and photogrammetric data

Camile Söthe, Cláudia Maria de Almeida, Marcos Benedito Schimalski et al. · GIScience & Remote Sensing · 2020 · 166 citations · Full text

Evaluating Sentinel-2 and Landsat-8 Data to Map Sucessional Forest Stages in a Subtropical Forest in Southern Brazil

Camile Söthe, Cláudia Maria de Almeida, Veraldo Liesenberg et al. · Remote Sensing · 2017 · 132 citations · Full text

Earth Observation, Environmental Monitoring, Engineering +24

Tree Species Classification in a Highly Diverse Subtropical Forest Integrating UAV-Based Photogrammetric Point Cloud and Hyperspectral Data

Camile Söthe, Michele Dalponte, Cláudia Maria de Almeida et al. · Remote Sensing · 2019 · 125 citations · Full text

Precision Agriculture, Tree Species Classification, Engineering +18

Large scale mapping of soil organic carbon concentration with 3D machine learning and satellite observations

Camile Söthe, Alemu Gonsamo, Joyce Arabian et al. · Geoderma · 2021 · 118 citations · Full text

Large Soil Carbon Storage in Terrestrial Ecosystems of Canada

Camile Söthe, Alemu Gonsamo, Joyce Arabian et al. · Global Biogeochemical Cycles · 2022 · 85 citations · Full text

Carbon Sequestration, Biogeochemistry, Organic Carbon +13