Remote Sensing Exploration of Nb-Ta-LREE-Enriched Carbonatite (Epembe/Namibia). - Robert Zimmermann; Melanie Brandmeier; Louis Andreani; Kombada Mhopjeni; Richard Gloaguen (Remote. Sens., 2016)

Evaluation of Different Machine Learning Algorithms for Scalable Classification of Tree Types and Tree Species Based on Sentinel-2 Data. - Mathias Wessel; Melanie Brandmeier; Dirk Tiede (Remote. Sens., 2018)

Forest Damage Assessment Using Deep Learning on High Resolution Remote Sensing Data. - Zayd Mahmoud Hamdi; Melanie Brandmeier; Christoph Straub (Remote. Sens., 2019)

A Hierarchical Deep-Learning Approach for Rapid Windthrow Detection on PlanetScope and High-Resolution Aerial Image Data. - Wolfgang Deigele; Melanie Brandmeier; Christoph Straub (Remote. Sens., 2020)

DeepForest: Novel Deep Learning Models for Land Use and Land Cover Classification Using Multi-Temporal and -Modal Sentinel Data of the Amazon Basin. - Eya Cherif; Maximilian Hell; Melanie Brandmeier (Remote. Sens., 2022)

Evaluating Different Deep Learning Approaches for Tree Health Classification Using High-Resolution Multispectral UAV Data in the Black Forest, Harz Region, and Göttinger Forest. - Julia Anwander; Melanie Brandmeier; Sebastian Paczkowski; Tarek Neubert; Marta Paczkowska (Remote. Sens., 2024)

Time Series Analysis of Multisensor Data for Precision Viticulture - Assessing Microscale Variations in Plant Development with Respect to Irrigation and Topography. - Melanie Brandmeier; Daniel Heßdörfer; Philipp Siebenlist; Adrian Meyer-Spelbrink; Anja Kraus (Remote. Sens., 2024)

Identifying Plausible Labels from Noisy Training Data for a Land Use and Land Cover Classification Application in Amazônia Legal. - Maximilian Hell; Melanie Brandmeier (Remote. Sens., 2024)

TreeSeg - A Toolbox for Fully Automated Tree Crown Segmentation Based on High-Resolution Multispectral UAV Data. - Sönke Speckenwirth; Melanie Brandmeier; Sebastian Paczkowski (Remote. Sens., 2024)