Article-Journal

What We Talk about When We Talk about Seasonality – A Transdisciplinary Review
The role of seasonality is indisputable in climate and ecosystem dynamics. Seasonal temperature and precipitation variability are of …
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A Method for Downscaling Satellite Soil Moisture Based on Land Surface Temperature and Net Surface Shortwave Radiation
Due to the coarse spatial resolution of currently available microwave (mostly passive) soil moisture (SM) products, it is difficult to …
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Contrasting Biophysical and Societal Impacts of Hydro-Meteorological Extremes
Abstract Extreme hydrological and meteorological conditions can severely affect ecosystems, parts of the economy, and consequently …
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Estimating Heavy Metal Concentrations in Technosols with Reflectance Spectroscopy
Reflectance spectroscopy in the visible-infrared and shortwave infrared (450– 2500 nm) wavelength region is a rapid, cost-effective and …
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Estimating High-Resolution Soil Moisture Over Mountainous Regions Using Remotely-Sensed Multispectral and Topographic Data
A surface soil moisture (SM) condition at high spatiotemportal resolutions is required by regional Earth system applications. Here, we …
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Improvement of AMSR2 Soil Moisture Retrieval Using a Soil-Vegetation Temperature Decomposition Algorithm
It is well documented that soil moisture can be retrieved from passive microwave (PMW) observations. A basic assumption of most …
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ISC-UNDRR-RISK KAN: Briefing Note on Systemic riskBriefing Note on Systemic Risk
Systemic risk is associated with cascading impacts that spread within and across systems and sectors (e.g. ecosystems, health, …
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On the Potential of Sentinel-2 for Estimating Gross Primary Production
Estimating Gross Primary Production (GPP), the gross uptake of CO$_2$ by vegetation, is a fundamental prerequisite for understanding …
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Performance of Field-scale Lab vs in Situ Visible/Near- and Mid-infrared Spectroscopy for Estimation of Soil Properties
Abstract Comparison of laboratory versus in situ visible/near- (visNIR) and mid-infrared (MIR) spectroscopy for prediction of various …
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Predicting Spatiotemporal Variability in Radial Tree Growth at the Continental Scale with Machine Learning
Abstract Tree-ring chronologies encode interannual variability in forest growth rates over long time periods from decades to centuries …
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