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Classification Characteristics of Fine Motor Experts Based on Electroencephalographic and Force Tracking Data
The application of machine learning techniques provides a data-driven approach for a deeper understanding of the development and …
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DeepForest: Novel Deep Learning Models for Land Use and Land Cover Classification Using Multi-Temporal and -Modal Sentinel Data of the Amazon Basin
Land use and land cover (LULC) mapping is a powerful tool for monitoring large areas. For the Amazon rainforest, automated mapping is …
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FABIAN: A Daily Product of Fractional Austral-summer Blue Ice over ANtarctica during 2000--2021 Based on MODIS Imagery Using Google Earth Engine
Antarctic blue ice areas are exposed due to erosion and sublimation of snow. At the same time, surface melt can form surface types that …
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Retrieval of High-Resolution Vegetation Optical Depth from Sentinel-1 Data over a Grassland Region in the Heihe River Basin
Vegetation optical depth (VOD), as a microwave-based estimate of vegetation water and biomass content, is increasingly used to study …
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The Leaf Is Always Greener on the Other Side of the Lab: Optical in-Situ Indicators for Leaf Chlorophyll Content Need Improvement for Semi-Natural Grassland Areas
Leaf chlorophyll content (LCC) is an important indicator of plant health. Earth observation facilitates LCC monitoring on large spatial …
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Flash Droughts Identification Based on an Improved Framework and Their Contrasting Impacts on Vegetation Over the Loess Plateau, China
Abstract Flash drought occurs in a short timescale and has more adverse impacts on society and ecosystems than regular drought. …
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Seasonal Propagation Characteristics from Meteorological to Hydrological Drought and Their Dynamics in the Headstreams of the Tarim River Basin
Abstract In the propagation from meteorological to hydrological drought, there are time-lag and step-abrupt effects, quantified in …
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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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