RSC4Earth
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Ronny Richter
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AngleCam : Predicting the Temporal Variation of Leaf Angle Distributions from Image Series with Deep Learning
A Mosaic of Induced and Non-induced Branches Promotes Variation in Leaf Traits, Predation and Insect Herbivore Assemblages in Canopy Trees
Climatic and Soil Factors Explain the Two-Dimensional Spectrum of Global Plant Trait Variation
Detecting Tree Species Effects on Forest Canopy Temperatures with Thermal Remote Sensing: The Role of Spatial Resolution
Monitoring Plant Functional Diversity Using the Reflectance and Echo from Space
Combining Multiband Remote Sensing and Hierarchical Distance Sampling to Establish Drivers of Bird Abundance
Inferring Plant Functional Diversity from Space: The Potential of Sentinel-2
A Multisensoral Approach for High-Resolution Land Cover and Pasture Degradation Mapping in the Humid Tropics: A Case Study of the Fragmented Landscape of Rio de Janeiro
Fine Root Lignin Content Is Well Predictable with Near-Infrared Spectroscopy
The Use of Airborne Hyperspectral Data for Tree Species Classification in a Species-Rich Central European Forest Area
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