Time Series

AngleCam : Predicting the Temporal Variation of Leaf Angle Distributions from Image Series with Deep Learning
Abstract Vertical leaf angles and their variation through time are directly related to several ecophysiological processes and …
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Performance of Singular Spectrum Analysis in Separating Seasonal and Fast Physiological Dynamics of Solar-Induced Chlorophyll Fluorescence and PRI Optical Signals
Abstract High temporal resolution measurements of solar-induced chlorophyll fluorescence ( F ) and the Photochemical Reflectance Index …
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Predicting Forest Cover in Distinct Ecosystems: The Potential of Multi-Source Sentinel-1 and -2 Data Fusion
The fusion of microwave and optical data sets is expected to provide great potential for the derivation of forest cover around the …
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Time-Frequency Causal Inference Uncovers Anomalous Events in Environmental Systems
Causal inference in dynamical systems is a challenge for different research areas. So far it is mostly about understanding to what …
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A National Assessment of Wetland Status and Trends for Canada's Forested Ecosystems Using 33 Years of Earth Observation Satellite Data
Wetlands are important globally for supplying clean water and unique habitat, and for storing vast amounts of carbon and nutrients. The …
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An Image Transform Based on Temporal Decomposition
Today, very dense synthetic aperture radar (SAR) time series are available through the framework of the European Copernicus Programme. …
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Detecting the Spread of Invasive Species in Central Chile with a Sentinel-2 Time-Series
The presented work evaluates the potential of a Sentinel-2 time-series to detect Pinus radiata (Monterey Pine) invasions in endemic …
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Land Cover Mapping of a Tropical Region by Integrating Multi-Year Data into an Annual Time Series
Generating annual land cover maps in the tropics based on optical data is challenging because of the large amount of invalid …
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State-Dependent Errors in a Land Surface Model across Biomes Inferred from Eddy Covariance Observations on Multiple Timescales
Characterization of state-dependent model biases in land surface models can highlight model deficiencies, and provide new insights into …
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Lake Water Footprint Identification From Time-Series ICESat/GLAS Data
To provide high-quality data for time-series change detection of lake water level, an automatic and robust algorithm for lake water …
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