R. Lotte

Using the U‐net convolutional network to map forest types and disturbance in the Atlantic rainforest with very high resolution images

Fabien Wagner, Alber Sánchez, Yuliya Tarabalka et al. · Remote Sensing in Ecology and Conservation · 2019 · 218 citations · Full text

Natural Resources, Computer Science, Forestry +17

Accurate mapping of Brazil nut trees (Bertholletia excelsa) in Amazonian forests using WorldView-3 satellite images and convolutional neural networks

Matheus Pinheiro Ferreira, R. Lotte, Francisco V. D’Elia et al. · Ecological Informatics · 2021 · 40 citations

Computing, Geoinformatics, Plant Sciences +17

3D Façade Labeling over Complex Scenarios: A Case Study Using Convolutional Neural Network and Structure-From-Motion

R. Lotte, Norbert Haala, M. Karpina et al. · Remote Sensing · 2018 · 28 citations · Full text

Computing, Autonomous Systems, Computer Science +17

Daytime Ionospheric TEC Weather Study Over Latin America

E. Romero‐Hernández, C. M. Denardini, H. Takahashi et al. · Journal of Geophysical Research Space Physics · 2018 · 17 citations · Full text

Natural Sciences, Earth Sciences, Atmospheric Science +12