What does this research mean for the field?

Current remote sensing and GIS assessments of floodplain water regimes predominantly measure inundation extent, leaving critical attributes needed for sustainable management—such as water level, connectivity, and depth—under-observed. Novelty: ClaimNovelty.SYNTHESIS. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To assess remote sensing and GIS methods used to evaluate floodplain water regime changes and determine how well current evidence meets sustainable management and policy needs.

August 27, 2026SustainabilityOpen Access

Remote Sensing and GIS-Based Assessment of Floodplain Water Regime Changes: A Scoping Review of Methods, Evidence Gaps, and Implications for Sustainable Floodplain Management

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Authors

ZPZhaksylyk PernebayevSouth Kazakhstan Medical Academy ATAigerim Tulbassiyeva AAAkbota AitimbetovaSouth Kazakhstan Medical Academy

Discussion

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Implication

Scoping review identifies a mismatch between satellite monitoring and decision needs in floodplains, highlighting critical evidence gaps in water depth, connectivity, and transboundary basins.

Key Points

To assess remote sensing and GIS methods used to evaluate floodplain water regime changes and determine how well current evidence meets sustainable management and policy needs.
Conducted a scoping review following PRISMA-ScR guidelines, searching Dimensions and OpenAlex databases for peer-reviewed studies published between 2004 and 2026.
Screened and charted N=137 studies across sensors, methods, hydrology variables, environmental drivers, and alignment with Sustainable Development Goal decisions.
More than half of the studies (53%) were published since 2021, with inundation extent being the predominant metric evaluated (83%), primarily mapped via Landsat (36%) and radar sensors.
Essential management attributes remain understudied, including water level (28%), connectivity (21%), inundation frequency (14%), storage (13%), hydroperiod (12%), and water depth (8%).
Geographic evidence is disproportionately scarce in transboundary river basins, such as Central Asia, revealing a persistent mismatch between remote sensing observations and the data required for environmental-flow, allocation, and restoration decisions.

Cite This Study

Pernebayev et al. (2026) studied this question.

synapsesocial.com/papers/6a8fe94110c91c1e92620ccc https://doi.org/10.3390/su18178698

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August 27, 2026SustainabilityOpen Access

Remote Sensing and GIS-Based Assessment of Floodplain Water Regime Changes: A Scoping Review of Methods, Evidence Gaps, and Implications for Sustainable Floodplain Management

View Full Paper

Ask AI

Bookmark

Authors

ZPZhaksylyk PernebayevSouth Kazakhstan Medical Academy ATAigerim Tulbassiyeva AAAkbota AitimbetovaSouth Kazakhstan Medical Academy

Discussion

Member takes

Implication

Scoping review identifies a mismatch between satellite monitoring and decision needs in floodplains, highlighting critical evidence gaps in water depth, connectivity, and transboundary basins.

Key Points

To assess remote sensing and GIS methods used to evaluate floodplain water regime changes and determine how well current evidence meets sustainable management and policy needs.
Conducted a scoping review following PRISMA-ScR guidelines, searching Dimensions and OpenAlex databases for peer-reviewed studies published between 2004 and 2026.
Screened and charted N=137 studies across sensors, methods, hydrology variables, environmental drivers, and alignment with Sustainable Development Goal decisions.
More than half of the studies (53%) were published since 2021, with inundation extent being the predominant metric evaluated (83%), primarily mapped via Landsat (36%) and radar sensors.
Essential management attributes remain understudied, including water level (28%), connectivity (21%), inundation frequency (14%), storage (13%), hydroperiod (12%), and water depth (8%).
Geographic evidence is disproportionately scarce in transboundary river basins, such as Central Asia, revealing a persistent mismatch between remote sensing observations and the data required for environmental-flow, allocation, and restoration decisions.

Cite This Study

Pernebayev et al. (2026) studied this question.

synapsesocial.com/papers/6a8fe94110c91c1e92620ccc https://doi.org/10.3390/su18178698

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