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Author

Gabrielle J. M. De Lannoy

2 papers indexed here

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Open access Sep 2026

Detecting Irrigation From Spectral Differences Between Satellite and Modeled Soil Moisture Across the Contiguous United States

Irrigation alters the terrestrial water cycle, yet its spatial distribution and temporal variability remain poorly constrained because existing data sets often rely on indirect proxies or inventories rather than observations tied to land‐surface water‐balance dynamics. Here, we introduce a wavelet‐based method to detec...

Christian Massari, S. Modanesi, Z. Heyvaert et al. · 0 citations
Open access Jul 2026

Modelling Shallow Groundwater Level Fluctuations in Very Flat Landscapes Based on Satellite Data and Machine Learning

This study provides a practical framework that integrates farmer-operated groundwater monitoring with freely available satellite observations to support agricultural decision-making in flood and drought risk management across flat sedimentary landscapes.

J. Houspanossian, Francisco Diez, R. Rivas et al. · 0 citations

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