A Multiscale Remote-Sensing Assessment of Root-Zone Soil Moisture, Evapotranspiration and Canopy Moisture Stress Across Uruguay During the 2020–2023 Drought

Drought affects meteorological forcing, root-zone water availability and land-surface functioning at different spatial and temporal supports. We evaluated Uruguay’s 2020–2023 drought using an observational 2016–2024 panel of 1423 SMAP parent cells. Monthly SPEI-3, SPEI-6 and SPEI-12 represented short, intermediate and persistent climatic water-balance deficits. SMAP root-zone soil moisture (RZSM) was retained at 9 km support, whereas actual evapotranspiration (ETa) and the moisture stress index (MSI) were summarized from approximately 500 m pixels using annual MapBiomas fractions for grassland, cropland and silviculture within each parent cell. For each cell and 8-day composite position, responses were expressed relative to the corresponding 2016–2019 mean. An interval was classified as locally dry when its overlap-day-weighted SPEI-12 was below −1. During 2020–2023, RZSM responses ranged from −13.09% to −16.63% among dominant landscape domains. Fraction-weighted ETa responses were −8.69% for grassland, −6.75% for cropland and −7.39% for silviculture, while oriented MSI responses were −6.62%, −3.32% and −11.20%, respectively. At lag zero, monthly RZSM correlated the most strongly with SPEI-3 (r = 0.81), followed by SPEI-6 (r = 0.64) and SPEI-12 (r = 0.51). At native 8-day support, RZSM was positively aligned with ETa (r = 0.42–0.57) and the oriented MSI (r = 0.31–0.59), although prewhitening weakened some associations. Overall, the 2020–2023 drought was consistently expressed across meteorological, root-zone and land-surface indicators. The strong association between SPEI-3 and RZSM, together with consistent land-surface departures and product-dependent ETa variation among components, highlights the value of multiscale monitoring for characterizing drought intensity and ecosystem responses across Uruguay.

Authors

Institutions

Publication Details

Journal
Remote Sensing
Published
2026-11-05
DOI
https://doi.org/10.3390/rs18213809
Primary Topic
Soil Moisture and Remote Sensing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

A Multiscale Remote-Sensing Assessment of Root-Zone Soil Moisture, Evapotranspiration and Canopy Moisture Stress Across Uruguay During the 2020–2023 Drought

Lucas Vituri Santarosa, Andrés Hirigoyen
Remote Sensing
Soil Moisture and Remote Sensing
article

A Multiscale Remote-Sensing Assessment of Root-Zone Soil Moisture, Evapotranspiration and Canopy Moisture Stress Across Uruguay During the 2020–2023 Drought

Lucas Vituri Santarosa, Andrés Hirigoyen
article en

Abstract

Drought affects meteorological forcing, root-zone water availability and land-surface functioning at different spatial and temporal supports. We evaluated Uruguay’s 2020–2023 drought using an observational 2016–2024 panel of 1423 SMAP parent cells. Monthly SPEI-3, SPEI-6 and SPEI-12 represented short, intermediate and persistent climatic water-balance deficits. SMAP root-zone soil moisture (RZSM) was retained at 9 km support, whereas actual evapotranspiration (ETa) and the moisture stress index (MSI) were summarized from approximately 500 m pixels using annual MapBiomas fractions for grassland, cropland and silviculture within each parent cell. For each cell and 8-day composite position, responses were expressed relative to the corresponding 2016–2019 mean. An interval was classified as locally dry when its overlap-day-weighted SPEI-12 was below −1. During 2020–2023, RZSM responses ranged from −13.09% to −16.63% among dominant landscape domains. Fraction-weighted ETa responses were −8.69% for grassland, −6.75% for cropland and −7.39% for silviculture, while oriented MSI responses were −6.62%, −3.32% and −11.20%, respectively. At lag zero, monthly RZSM correlated the most strongly with SPEI-3 (r = 0.81), followed by SPEI-6 (r = 0.64) and SPEI-12 (r = 0.51). At native 8-day support, RZSM was positively aligned with ETa (r = 0.42–0.57) and the oriented MSI (r = 0.31–0.59), although prewhitening weakened some associations. Overall, the 2020–2023 drought was consistently expressed across meteorological, root-zone and land-surface indicators. The strong association between SPEI-3 and RZSM, together with consistent land-surface departures and product-dependent ETa variation among components, highlights the value of multiscale monitoring for characterizing drought intensity and ecosystem responses across Uruguay.

Remote SensingVol. 18(21)
Pontificial Catholic University of Valparaiso (CL), Instituto Nacional de Investigación Agropecuaria (UY)
Openalex Percentile: Top 24%
Soil Moisture and Remote Sensing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon