RSC4Earth
RSC4Earth
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Remote Sensing in Geo- and Ecosystem Research
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Remote Sensing Department at the UFZ
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Martin Jung
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Predicting Spatiotemporal Variability in Radial Tree Growth at the Continental Scale with Machine Learning
The Three Major Axes of Terrestrial Ecosystem Function
A Unified Vegetation Index for Quantifying the Terrestrial Biosphere
Earth System Data Cubes Unravel Global Multivariate Dynamics
Modelling Landsurface Time-Series with Recurrent Neural Nets
Upscaled Diurnal Cycles of Land--Atmosphere Fluxes: A New Global Half-Hourly Data Product
Impacts of Droughts and Extreme-Temperature Events on Gross Primary Production and Ecosystem Respiration: A Systematic Assessment across Ecosystems and Climate Zones
Reverse Engineering Model Structures for Soil and Ecosystem Respiration: The Potential of Gene Expression Programming
Reviews and Syntheses: An Empirical Spatiotemporal Description of the Global Surface--Atmosphere Carbon Fluxes: Opportunities and Data Limitations
Effect of Spatial Sampling from European Flux Towers for Estimating Carbon and Water Fluxes with Artificial Neural Networks
Ranking Drivers of Global Carbon and Energy Fluxes over Land
A Few Extreme Events Dominate Global Interannual Variability in Gross Primary Production
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