Seeing the hidden reservoir: Earth observation and geoinformatics for assessing sand dam impacts in dryland rivers

Sand dams are small water-harvesting structures that store water within the sandy matrix of ephemeral riverbeds. They are widely promoted as nature-based solutions for water security and climate adaptation in drylands. Nonetheless, it remains difficult to systematically assess their environmental and socio-ecological impacts for multiple reasons. This review synthesizes Earth observation and geoinformatics research on sand dams and evaluates how reliably their impacts can be detected from spatial data. A structured literature search and citation tracking identified 11 relevant studies published between 2008 and 2026. Evidence on impacts is dominated by vegetation effects: six studies assess vegetation responses, five report localized greening, higher vegetation vitality, or greater drought resilience, while one finds no average greening. Direct hydrological evidence is less prominent: gravimetric and radar-based approaches could not fully resolve local storage effects, and long-term regional responses remain inconclusive. Geomorphological evidence is limited to one study, while thermal approaches remain largely exploratory. Across these studies, differences in spatial scale, control-site selection, dam maturity, and temporal design constrain comparability and attribution. We develop a methodological taxonomy and propose future research based on time series, Before-After-Control-Impact designs, climatic controls, in-situ validation, multi-sensor integration, automated inventories, and data fusion supported by artificial intelligence.

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Publication Details

Journal
International Journal of Digital Earth
Published
2026-10-17
DOI
https://doi.org/10.1080/17538947.2026.2749197
Primary Topic
Groundwater and Watershed Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Seeing the hidden reservoir: Earth observation and geoinformatics for assessing sand dam impacts in dryland rivers

Volker Hochschild, Martin Sudmanns, Andreas Braun, Nimrod Kibet et al.
International Journal of Digital Earth
Groundwater and Watershed Analysis
article

Seeing the hidden reservoir: Earth observation and geoinformatics for assessing sand dam impacts in dryland rivers

Volker Hochschild, Martin Sudmanns, Andreas Braun, Nimrod Kibet, Anna Müller
article en

Abstract

Sand dams are small water-harvesting structures that store water within the sandy matrix of ephemeral riverbeds. They are widely promoted as nature-based solutions for water security and climate adaptation in drylands. Nonetheless, it remains difficult to systematically assess their environmental and socio-ecological impacts for multiple reasons. This review synthesizes Earth observation and geoinformatics research on sand dams and evaluates how reliably their impacts can be detected from spatial data. A structured literature search and citation tracking identified 11 relevant studies published between 2008 and 2026. Evidence on impacts is dominated by vegetation effects: six studies assess vegetation responses, five report localized greening, higher vegetation vitality, or greater drought resilience, while one finds no average greening. Direct hydrological evidence is less prominent: gravimetric and radar-based approaches could not fully resolve local storage effects, and long-term regional responses remain inconclusive. Geomorphological evidence is limited to one study, while thermal approaches remain largely exploratory. Across these studies, differences in spatial scale, control-site selection, dam maturity, and temporal design constrain comparability and attribution. We develop a methodological taxonomy and propose future research based on time series, Before-After-Control-Impact designs, climatic controls, in-situ validation, multi-sensor integration, automated inventories, and data fusion supported by artificial intelligence.

International Journal of Digital EarthVol. 19(2)
University of Salzburg (AT), University of Tübingen (DE)
Eberhard Karls Universität Tübingen
Clean water and sanitation
Openalex Percentile: Top 21%
Groundwater and Watershed Analysis
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