RSC4Earth
RSC4Earth
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Remote Sensing in Geo- and Ecosystem Research
Earth System Data Science
Remote Sensing Department at the UFZ
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Data
Fabian Ewald Fassnacht
Latest
Explaining Sentinel 2-Based dNBR and RdNBR Variability with Reference Data from the Bird's Eye (UAS) Perspective
Convolutional Neural Networks Enable Efficient, Accurate and Fine-Grained Segmentation of Plant Species and Communities from High-Resolution UAV Imagery
UAV Data as Alternative to Field Sampling to Map Woody Invasive Species Based on Combined Sentinel-1 and Sentinel-2 Data
A Landsat-based Vegetation Trend Product of the Tibetan Plateau for the Time-Period 1990--2018
Differentiating Plant Functional Types Using Reflectance: Which Traits Make the Difference?
LiDAR Derived Forest Structure Data Improves Predictions of Canopy N and P Concentrations from Imaging Spectroscopy
Estimating Stand Density, Biomass and Tree Species from Very High Resolution Stereo-Imagery -- towards an All-in-One Sensor for Forestry Applications?
Linking Plant Strategies and Plant Traits Derived by Radiative Transfer Modelling
Modeling Forest Biomass Using Very-High-Resolution Data—Combining Textural, Spectral and Photogrammetric Predictors Derived from Spaceborne Stereo Images
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