Digital Elevation Model Applications in Hydrological Analysis
Summary
Digital Elevation Models (DEMs) provide a detailed three-dimensional representation of the Earth’s surface, forming the foundation for quantitative hydrological analysis. By capturing terrain elevation at fine spatial scales, DEMs enable the delineation of watersheds, computation of flow direction and flow accumulation, and identification of drainage networks. Such information underpins flood modelling, soil moisture estimation, sediment transport assessments and water-resource management. Preprocessing of DEMs is critical to rectify artefacts such as spurious pits and flat areas; techniques include depression filling, breaching (stream burning) and smoothing, each balancing the removal of non-physical anomalies against preservation of genuine landscape features. High-resolution datasets derived from LiDAR and Interferometric Synthetic Aperture Radar (InSAR) have expanded capabilities for capturing headwater channels, riparian corridors and microtopography, thereby improving the realism of hydrological simulations and risk assessments. In agricultural, forested and urban settings alike, DEM-based analyses support decision-making for drainage design, ecosystem restoration and hazard mitigation by offering spatially explicit insights into catchment behaviour under changing climatic and land-use pressures.
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Digital Elevation Model Applications in Hydrological Analysis publication trend
The graph below shows the total number of articles in digital elevation model applications in hydrological analysis across all publications each year (not limited to Nature Index journals).
Technical terms
Digital Elevation Model (DEM): A gridded or triangulated representation of terrain elevations used as input for hydrological and geomorphological analyses.
Flow Accumulation: A raster calculation that sums the number of upstream cells draining into each cell, indicating potential water-convergence paths.
Stream Burning: A preprocessing technique that artificially lowers DEM elevations along known or extracted river channels to enforce network connectivity.
Depression Filling: The process of identifying and raising or breaching local pits in a DEM to ensure continuous flow routing across a landscape.
Flow Direction Algorithm: A rule-based method that assigns each DEM cell to one of several neighbouring cells for downstream routing of water.
References
- Extracting an accurate river network: Stream burning re-revisited. Remote Sensing of Environment (2024).
- Technical note: Seamless extraction and analysis of river networks in R. Hydrology and Earth System Sciences (2023).
- Topological Relationship‐Based Flow Direction Modeling: Stream Burning and Depression Filling. Journal of Advances in Modeling Earth Systems (2023).
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