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Gaona et al. (2022) Interactions between precipitation, evapotranspiration and soil-moisture-based indices to characterize drought with high-resolution remote sensing and land-surface model data
This study investigates the temporal interactions and feedback mechanisms among precipitation (SPI), evapotranspiration (ETDI), and soil moisture (SMDI) indices in the Ebro basin (Iberian Peninsula) using high-resolution remote sensing and land-surface model data. The analysis reveals that evapotranspiration plays a preeminent, self-intensifying role in drought propagation, highlighting the necessity of using a weekly temporal scale for accurate monitoring in semi-arid environments.
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Tramblay et al. (2022) Estimating soil moisture conditions for drought monitoring with random forests and a simple soil moisture accounting scheme
This study regionalized a simple Soil Moisture Accounting (SMA) model over the Iberian Peninsula for drought monitoring by estimating the soil water holding capacity parameter ($A$). It found that using Random Forests (RF) with climatic and physiographic covariates provided a more robust and stable estimation of $A$, particularly for detecting dry soil conditions, compared to direct estimation using European soil maps.
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Boone et al. (2022) Campagne internationale sur les interactions de la surface terrestre avec l'atmosphère
This article serves as an announcement and description of the international LIAISE (Land-surface Interactions with the Atmosphere over the Iberian Semi-arid Environment) campaign, designed to collect comprehensive airborne and surface measurements to quantify the influence of irrigation on coupled hydrological and atmospheric processes in a semi-arid climate.
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Elwan et al. (2022) Irrigation Mapping on Two Contrasted Climatic Contexts Using Sentinel-1 and Sentinel-2 Data
This study proposes an operational and robust methodology for mapping irrigated areas by synergizing Sentinel-1 (S1) radar and Sentinel-2 (S2) optical time series data, demonstrating that multi-site training across diverse climatic contexts (Spain and Italy) yields the highest and most consistent classification accuracy (approximately 85%).
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Kreibich et al. (2022) The challenge of unprecedented floods and droughts in risk management
This study analyzes 45 global paired flood and drought events to assess the effectiveness of risk management, finding that while management generally reduces vulnerability, it often fails to mitigate the impacts of unprecedented, high-hazard events.
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Chen et al. (2022) Application of the vineyard data assimilation (VIDA) system to vineyard root-zone soil moisture monitoring in the California Central Valley
This study tested the Vineyard Data Assimilation (VIDA) system, which integrates 30 m resolution remote sensing data into a one-dimensional soil water balance model, demonstrating its capability to capture daily root-zone soil moisture (RZSM) variations (30–60 cm depth) in California vineyards, although it struggled to correct biases in assumed irrigation inputs during well-watered periods.
