Geomorphometry and terrain analysis: data, methods, platforms and applications

Earth-Science Reviews, Journal Year: 2022, Volume and Issue: 233, P. 104191 - 104191

Published: Sept. 19, 2022

Terrain is considered one of the most essential natural geographic features and a key factor in physical processes. Geomorphometry terrain analyses have provided wealth topographic data corresponding tools, thus delivering insights into geomorphology, hydrology, soil science, information systems (GIS) general. Recent advances analysis theory, methods, data-acquisition techniques platforms are impressive their ability to interpret not only multiscale multiaspect characteristics but also mechanisms processes associated with morphodynamics. In this context, we review progress fields geomorphometry analysis, as well probable future paths these two fields. collection construction processes, novel models acquisition can support expression complex terrain, scholars explored data-related challenges such accuracy security utilized data. been successful constructing efficient frameworks, transforming units methodologies, highlighting semantics object continuity Earth's surface Moreover, terrain-related research calculations aided by various tools that powerful processing capabilities. Furthermore, application scopes broadened, especially cross-analyses which be integrated other disciplines.

Language: Английский

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A systematic review and meta-analysis of Digital elevation model (DEM) fusion: pre-processing, methods and applications

ISPRS Journal of Photogrammetry and Remote Sensing, Journal Year: 2022, Volume and Issue: 188, P. 1 - 29

Published: April 7, 2022

The remote sensing community has identified data fusion as one of the key challenging topics 21st century. subject image in two-dimensional (2D) space been covered several published reviews. However, special case 2.5D/3D Digital Elevation Model (DEM) not addressed till date. DEM is a application sensing. It takes advantage complementary characteristics multi-source DEMs to deliver more complete, accurate and reliable elevation dataset. Although methods for fusing have developed, absence well-rounded review limited their proliferation among researchers end-users. often required combine knowledge from multiple studies inform holistic perspective guide further research. In response, this paper provides systematic fusion: pre-processing workflow, applications, enhanced with meta-analysis. Through discussion comparative analysis, unresolved challenges open issues were identified, future directions research proposed. This timely solution an invaluable source information within fields spatial science, at large.

Language: Английский

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A globally applicable framework for compound flood hazard modeling

Natural hazards and earth system sciences, Journal Year: 2023, Volume and Issue: 23(2), P. 823 - 846

Published: Feb. 27, 2023

Abstract. Coastal river deltas are susceptible to flooding from pluvial, fluvial, and coastal flood drivers. Compound floods, which result the co-occurrence of two or more these drivers, typically exacerbate impacts compared floods a single driver. While several global models have been developed, do not account for compound flooding. Local-scale provide state-of-the-art analyses but hard scale other regions as based on local datasets. Hence, there is need globally applicable hazard modeling. We develop, validate, apply framework modeling that accounts interactions between all It consists high-resolution 2D hydrodynamic Super-Fast INundation CoastS (SFINCS) model, automatically set up datasets coupled with routing model surge tide model. To test framework, we simulate historical events, Tropical Cyclone Idai Eloise in Sofala province Mozambique, compare simulated extents satellite-derived multiple days both events. Compared CaMa-Flood generally performs better terms critical success index (−0.01–0.09) hit rate (0.11–0.22) worse false-alarm ratio (0.04–0.14). Furthermore, depth maps realistic due floodplain connectivity comprehensive picture direct pluvial simulated. Using new determine dominant drivers transition zones These vary significantly events because differences magnitude time lag argue wide range plausible should be investigated obtain robust understanding interactions, important understand adaptation, preparedness, response. As setup coupling automated, reproducible, applicable, presented promising step forward towards large-scale

Language: Английский

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Recent Advances and New Frontiers in Riverine and Coastal Flood Modeling

Reviews of Geophysics, Journal Year: 2023, Volume and Issue: 61(2)

Published: May 27, 2023

Abstract Over the past decades, scientific community has made significant efforts to simulate flooding conditions using a variety of complex physically based models. Despite all advances, these models still fall short in accuracy and reliability are often considered computationally intensive be fully operational. This could attributed insufficient comprehension causative mechanisms flood processes, assumptions model development inadequate consideration uncertainties. We suggest adopting an approach that accounts for influence human activities, soil saturation, snow topography, river morphology, land‐use type enhance our understanding generating mechanisms. also recommend transition innovative earth system modeling frameworks where interaction among components simultaneously modeled. Additionally, more nonselective rigorous studies should conducted provide detailed comparison physical simplified methods inundation mapping. Linking process‐based with data‐driven/statistical offers opportunities yet explored conveyed researchers emergency managers. The main contribution this paper is notify scientists practitioners latest developments characterization modeling, identify challenges associated uncertainties risks coupled hydrologic hydrodynamic forecasting mapping, potential use state‐of‐the‐art data assimilation machine learning tackle complexities involved transitioning such operation.

Language: Английский

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A national-scale assessment of land subsidence in China’s major cities

Science, Journal Year: 2024, Volume and Issue: 384(6693), P. 301 - 306

Published: April 18, 2024

China's massive wave of urbanization may be threatened by land subsidence. Using a spaceborne synthetic aperture radar interferometry technique, we provided systematic assessment subsidence in all major cities from 2015 to 2022. Of the examined urban lands, 45% are subsiding faster than 3 millimeters per year, and 16% 10 affecting 29 7% population, respectively. The appears associated with range factors such as groundwater withdrawal weight buildings. By 2120, 22 26% coastal lands will have relative elevation lower sea level, hosting 9 11% because combined effect city sea-level rise. Our results underscore necessity enhancing protective measures mitigate potential damages

Language: Английский

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Towards flood risk reduction: Commonalities and differences between urban flood resilience and risk based on a case study in the Pearl River Delta

International Journal of Disaster Risk Reduction, Journal Year: 2023, Volume and Issue: 86, P. 103568 - 103568

Published: Jan. 31, 2023

Language: Английский

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Vertical accuracy assessment of freely available global DEMs (FABDEM, Copernicus DEM, NASADEM, AW3D30 and SRTM) in flood-prone environments

International Journal of Digital Earth, Journal Year: 2024, Volume and Issue: 17(1)

Published: Jan. 25, 2024

Flood models rely on accurate topographic data representing the bare earth ground surface. In many parts of world, only available are free, satellite-derived global Digital Elevation Models (DEMs). However, these have well-known inaccuracies due to limitations sensors used generate them (such as a failure fully penetrate vegetation canopies and buildings). We assess five contemporary, 1 arc-second (≈30 m) DEMs -- FABDEM, Copernicus DEM, NASADEM, AW3D30 SRTM using diverse reference dataset comprised 65 airborne-LiDAR surveys, selected represent biophysical variations in flood-prone areas globally. While vertical accuracy is nuanced, contingent specific metrics character site being assessed, we found that recently-released FABDEM consistently ranked first, improving second-place DEM by reducing large positive errors associated with forests buildings. Our results suggest land cover main factor explaining (especially forests), steep slopes wider error spreads (although resampled from higher-resolution products less sensitive), variable dependency terrain aspect likely function horizontal geolocation problematic for DEM).

Language: Английский

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Novel Approach for Ranking DEMs: Copernicus DEM Improves One Arc Second Open Global Topography

IEEE Transactions on Geoscience and Remote Sensing, Journal Year: 2024, Volume and Issue: 62, P. 1 - 22

Published: Jan. 1, 2024

We present a practical approach to inter-compare range of candidate digital elevation models (DEMs) based on pre-defined criteria and statistically sound ranking approach. The presented integrates the randomized complete block design (RCBD) into novel framework for DEMs comparison. method provides flexible, customizable tool evaluating quality any raster - in this case DEM by means approach, which takes account confidence level, can use both quantitative qualitative criteria. users their own evaluation relation specific needs. application RCBD rank six 1" global DEMs, considering wide set study sites, covering different morphological landcover settings, highlights potentialities used suite relating differences elevation, slope, roughness distributions compared reference aggregated from 1-5 m lidar-derived DEMs. Results confirmed significant superiority CopDEM its derivative FABDEM as overall best They are slightly better than ALOS, clearly outperform NASADEM SRTM, turn much ASTER.

Language: Английский

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DeltaDTM: A global coastal digital terrain model

Scientific Data, Journal Year: 2024, Volume and Issue: 11(1)

Published: March 6, 2024

Abstract Coastal elevation data are essential for a wide variety of applications, such as coastal management, flood modelling, and adaptation planning. Low-lying areas (found below 10 m +Mean Sea Level (MSL)) at risk future extreme water levels, subsidence changing weather patterns. However, current freely available datasets not sufficiently accurate to model these risks. We present DeltaDTM, global Digital Terrain Model (DTM) in the public domain, with horizontal spatial resolution 1 arcsecond (∼30 m) vertical mean absolute error (MAE) 0.45 overall. DeltaDTM corrects CopernicusDEM spaceborne lidar from ICESat-2 GEDI missions. Specifically, we correct bias CopernicusDEM, apply filters remove non-terrain cells, fill gaps using interpolation. Notably, our classification approach produces more results than regression methods recently used by others DEMs, that achieve an overall MAE 0.72 best. conclude will be valuable resource impact modelling other applications.

Language: Английский

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Relief inversion and denudation dynamics in a semi-arid landscape (Araripe Plateau, NE Brazil): Insights from cosmogenic nuclides and geomorphic surfaces

Evolving Earth, Journal Year: 2025, Volume and Issue: unknown, P. 100064 - 100064

Published: March 1, 2025

Language: Английский

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