Accuracy assessment of ASTER, SRTM, ALOS, and TDX DEMs for Hispaniola and implications for mapping vulnerability to coastal flooding

Zhang, Keqi; Gann, Daniel; Ross, Michael S.; Robertson, Quin; Sarmiento, Juan Pablo; Santana, Sheyla Aguilar de; Rhome, Jamie; Fritz, Cody

doi:10.1016/j.rse.2019.02.028

Cited by 112 publications

(59 citation statements)

References 48 publications

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“…In areas with varied topography, the performance of LiDAR-derived DEMs is more accurate and more precise when compared to the output from satellite-derived DEMs. These results align with previous studies that compare the results obtained from LiDAR-derived DEMs versus globally available satellite-derived DEMs (Vaze et al, 2010;Boulton and Stokes, 2018;Zhang et al, 2019). In our analysis, the accuracy and precision of the LiDAR-derived valley bottom extent was higher in both steep topographic settings with well-defined single-channel rivers, and in the mild-slope, laterally unconfined topographic settings where channels are absent or discontinuous (e.g.…”

Section: Delineating Valley Bottom Extent Using An Objective-based Apsupporting

confidence: 91%

“…The inability of satellite-derived DEMs to precisely model more subtle topographic variability is well documented (Boulton and Stokes, 2018;Zhang et al, 2019). Further, discontinuities in the valley bottom polygon for headwater regions were exaggerated using satellite-derived DEMs as these were originally of 30m resolution compared to the LiDAR-derived DEM which was originally of 5m resolution.…”

Section: Delineating Valley Bottom Extent Using An Objective-based Apmentioning

confidence: 99%

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Application of globally available, coarse‐resolution digital elevation models for delineating valley bottom segments of varying length across a catchment

Khan

Fryirs

2020

Earth Surf Processes Landf

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The worldwide availability of digital elevation models (DEMs) has enabled rapid (semi‐)automated mapping of earth surface landforms. In this paper, we first present an approach for delineating valley bottom extent across a large catchment using only publicly available, coarse‐resolution DEM input. We assess the sensitivity of our results to variable DEM resolution and find that coarse‐resolution datasets (90 m resolution) provide superior results. We also find that LiDAR‐derived DEMs produce more realistic results than satellite‐derived DEMs across the full range of topographic settings tested. Satellite‐derived DEMs perform more effectively in moderate topographic settings, but fail to capture the subtleties of valley bottom extent in mild gradient, low‐lying topography and in narrow headwater reaches. Second, we present a semi‐automated technique within ArcGIS for delineating valley bottom segments using DEM‐derived network scale metrics of valley bottom width and slope. We use an unsupervised machine‐learning technique based on the k‐means clustering algorithm to solve a conundrum in GIS‐based geomorphic analysis of rivers: the delineation of valley bottom segments of variable length. The delineation of valley bottom segments provides a coarse‐scale entry point into automated geomorphic analysis and characterization of river systems. © 2020 John Wiley & Sons, Ltd.

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Section: Delineating Valley Bottom Extent Using An Objective-based Apsupporting

confidence: 91%

Section: Delineating Valley Bottom Extent Using An Objective-based Apmentioning

confidence: 99%

Application of globally available, coarse‐resolution digital elevation models for delineating valley bottom segments of varying length across a catchment

Khan

Fryirs

2020

Earth Surf Processes Landf

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“…Some studies investigated the accuracy of TanDEM-X World DEM ™ with elevation models from SRTM and ASTER Global DEM [55][56][57]. Others compared the accuracy of SRTM, ASTER GDEM, ALOS World 3D and TanDEM-X World DEM ™ for coastal relief settings [26,58] or for relative small areas [59,60]. They all showed a relative high performance of the TanDEM-X World DEM ™ which is mostly superior to the accuracy of the 30 m global DEMs.…”

Section: Introductionmentioning

confidence: 99%

A Relief Dependent Evaluation of Digital Elevation Models on Different Scales for Northern Chile

Kramm

Hoffmeister

2019

IJGI

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Many geoscientific computations are directly influenced by the resolution and accuracy of digital elevation models (DEMs). Therefore, knowledge about the accuracy of DEMs is essential to avoid misleading results. In this study, a comprehensive evaluation of the vertical accuracy of globally available DEMs from Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), Shuttle Radar Topography Mission (SRTM), Advanced Land Observing Satellite (ALOS) World 3D and TanDEM-X WorldDEM™ was conducted for a large region in Northern Chile. Additionally, several very high-resolution DEM datasets were derived from Satellite Pour l’Observation de la Terre (SPOT) 6/7 and Pléiades stereo satellite imagery for smaller areas. All datasets were evaluated with three reference datasets, namely elevation points from both Ice, Cloud, and land Elevation (ICESat) satellites, as well as very accurate high-resolution elevation data derived by unmanned aerial vehicle (UAV)-based photogrammetry and terrestrial laser scanning (TLS). The accuracy was also evaluated with regard to the existing relief by relating the accuracy results to slope, terrain ruggedness index (TRI) and topographic position index (TPI). For all datasets with global availability, the highest overall accuracies are reached by TanDEM-X WorldDEM™ and the lowest by ASTER Global DEM (GDEM). On the local scale, Pléiades DEMs showed a slightly higher accuracy as SPOT imagery. Generally, accuracy highly depends on topography and the error is rising up to four times for high resolution DEMs and up to eight times for low-resolution DEMs in steeply sloped terrain compared to flat landscapes.

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“…This DEM product is a new generation global DEM providing resolution of 0.4 arc second which can be seen as one of the most consistent, highly accurate and completest global DEM data sets of the Earth surface. Global assessment summarised by [57][58][59] reports overall vertical accuracy below 2 m which is subject to land cover and surface slope angle on local scale.…”

Section: Comparison With Other Freely Available Dem Datasetsmentioning

confidence: 99%

Combined Use of Terrestrial Laser Scanning and UAV Photogrammetry in Mapping Alpine Terrain

et al. 2019

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Airborne and terrestrial laser scanning and close-range photogrammetry are frequently used for very high-resolution mapping of land surface. These techniques require a good strategy of mapping to provide full visibility of all areas otherwise the resulting data will contain areas with no data (data shadows). Especially, deglaciated rugged alpine terrain with abundant large boulders, vertical rock faces and polished roche-moutones surfaces complicated by poor accessibility for terrestrial mapping are still a challenge. In this paper, we present a novel methodological approach based on a combined use of terrestrial laser scanning (TLS) and close-range photogrammetry from an unmanned aerial vehicle (UAV) for generating a high-resolution point cloud and digital elevation model (DEM) of a complex alpine terrain. The approach is demonstrated using a small study area in the upper part of a deglaciated valley in the Tatry Mountains, Slovakia. The more accurate TLS point cloud was supplemented by the UAV point cloud in areas with insufficient TLS data coverage. The accuracy of the iterative closest point adjustment of the UAV and TLS point clouds was in the order of several centimeters but standard deviation of the mutual orientation of TLS scans was in the order of millimeters. The generated high-resolution DEM was compared to SRTM DEM, TanDEM-X and national DMR3 DEM products confirming an excellent applicability in a wide range of geomorphologic applications.The general advantage of laser scanning over photogrammetry is in the ability of sampling several kinds of surfaces (e.g., top of vegetation canopy, inter-canopy surfaces, and ground) which are in the line of sight of the laser beam until impermeable surface restrains further penetration of the laser energy. UAV-SfM has become a low-cost alternative to TLS, generating point clouds with comparable accuracies to TLS albeit with the limitation of sampling the top surface in the field of view. Either way, in cases where TLS or UAV-SfM are used separately, data shadows originate in areas which are obscured in the sensor's field of view [23,29] (Figure 1). Complementing the unsampled areas with the surface altitude measurements is possible by sensing the area from multiple positions and different viewing perspectives by changing the location of the sensor. Zhang and Lin [30] provide a systematic overview of the lidar and photogrammetric data fusion. Cawood et al. [7] showed there is no exclusive method for capturing complex 3D geometry in the case study of 3D modelling a large boulder with distinct geological structural features. Combination of TLS and UAV-SfM provided the most satisfying results to capture the geometric complexity of the object of interest for structural analysis. A similar approach of combining different viewing geometry of TLS and photogrammetry was demonstrated in 3D modelling of a historical city by [23]. Planning the data collection in the mentioned studies concerned environments with a relatively easy access for the technology and the surveying pe...

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Accuracy assessment of ASTER, SRTM, ALOS, and TDX DEMs for Hispaniola and implications for mapping vulnerability to coastal flooding

Cited by 112 publications

References 48 publications

Application of globally available, coarse‐resolution digital elevation models for delineating valley bottom segments of varying length across a catchment

Application of globally available, coarse‐resolution digital elevation models for delineating valley bottom segments of varying length across a catchment

A Relief Dependent Evaluation of Digital Elevation Models on Different Scales for Northern Chile

Combined Use of Terrestrial Laser Scanning and UAV Photogrammetry in Mapping Alpine Terrain

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