Article-Journal

Analysis of Vegetation Vulnerability Dynamics and Driving Forces to Multiple Drought Stresses in a Changing Environment
Quantifying changes in the vulnerability of vegetation to various drought stresses in different seasons is important for rational and …
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Mapping Land-Use Intensity of Grasslands in Germany with Machine Learning and Sentinel-2 Time Series
Information on grassland land-use intensity (LUI) is crucial for understanding trends and dynamics in biodiversity, ecosystem …
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Mapping Land-Use Intensity of Grasslands in Germany with Machine Learning and Sentinel-2 Time Series
Potential of UAV-based Sun-Induced Chlorophyll Fluorescence to Detect Water Stress in Sugar Beet
Sun-induced chlorophyll fluorescence (SIF) is a direct indicator of plant photosynthetic activities and can potentially indicate plant …
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Spatially Autocorrelated Training and Validation Samples Inflate Performance Assessment of Convolutional Neural Networks
Deep learning and particularly Convolutional Neural Networks (CNN) in concert with remote sensing are becoming standard analytical …
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SPECTRAL: AWESOME SPECTRAL INDICES DEPLOYED VIA THE GOOGLE EARTH ENGINE JAVASCRIPT API
Abstract. Spectral Indices derived from Remote Sensing (RS) data are widely used for characterizing Earth System dynamics. The …
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Transfer Learning from Citizen Science Photographs Enables Plant Species Identification in UAV Imagery
Accurate information on the spatial distribution of plant species and communities is in high demand for various fields of application, …
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Attribution of Global Evapotranspiration Trends Based on the Budyko Framework
Abstract. Actual evapotranspiration (ET) is an essential variable in the hydrological process, linking carbon, water, and energy …
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Fluorescence Ratio and Photochemical Reflectance Index as a Proxy for Photosynthetic Quantum Efficiency of Photosystem II along a Phosphorus Gradient
Sun-induced chlorophyll fluorescence (SIF) is one of the most promising remote-sensing signals to assess spatio-temporal variation in …
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Rapid Assessment of Plant Diversity Using MODIS Biophysical Proxies
The spectral information derived from satellite data provides important inputs for assessing plant diversity. If a suitable …
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Physics-Aware Nonparametric Regression Models for Earth Data Analysis
Abstract Process understanding and modeling is at the core of scientific reasoning. Principled parametric and mechanistic modeling …
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