Error Correction of Digital Elevation Models Produced by Automatic Matching of Digital Stereo Images

Ostrowski, Jennifer; He, D.C.

doi:10.1109/igarss.1989.578735

Cited by 1 publication

(2 citation statements)

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“…Of all the recorded landslides in the country between 2012 to 2020 [5], 41.8% occurred in Badakhshan Province. Surprisingly, Badakhshan's landslide events comprise 16.3% of all the country's natural disaster incidents, which account for 53.6% of all the recorded landslide related deaths in Afghanistan. As reported 2 of 22 by [6], Badakhshan province is a high priority province due to its greater susceptibility to the landslide.…”

Section: Introductionmentioning

confidence: 99%

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Volumetric Analysis of the Landslide in Abe Barek, Afghanistan Based on Nonlinear Mapping of Stereo Satellite Imagery-Derived DEMs

Atefi

Miura

2021

Remote Sensing

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On 2 May 2014, a large-scale landslide in Abe Barek, Badakhshan, Afghanistan, produced extensive damage to the buildings and killed hundreds of people. Evaluations of the extent and the volume of the displaced materials are vital for post-disaster management activities. In this study, we present the applicability of a nonlinear geometric correction technique for decreasing the undesired registration errors between pre- and post-event digital elevation models (DEMs) generated from high-resolution stereo pair satellite imagery, identifying landslide affected areas, and quantifying the landslide volume from DEMs of difference (DoD) analysis. The nonlinear mapping method consists of shifting vector generation in subareas of the DEMs, consensus operations, and interpolation of the shifting vectors. The quality assessment confirmed that the method outperformed the simple DoD technique by eliminating a large-scale of geometric errors in an unaffected area. We estimated the volume of the landslide as 1.05 × 106 m3 from the DoD corrected by the nonlinear method, and discussed the relationship between the area and volume compared to those of the previous studies.

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Section: Introductionmentioning

confidence: 99%

“…These errors arise from many factors such as the quality of original data, interpolation algorithm, projection method during the DEM creation process, etc. [16]. The horizontal misregistration between DEMs would be one of the major causes of the uncertainty in the DoD analysis.…”

Section: Introductionmentioning

confidence: 99%

Volumetric Analysis of the Landslide in Abe Barek, Afghanistan Based on Nonlinear Mapping of Stereo Satellite Imagery-Derived DEMs

Atefi

Miura

2021

Remote Sensing

View full text Add to dashboard Cite

show abstract

Error Correction of Digital Elevation Models Produced by Automatic Matching of Digital Stereo Images

Cited by 1 publication

References 5 publications

Volumetric Analysis of the Landslide in Abe Barek, Afghanistan Based on Nonlinear Mapping of Stereo Satellite Imagery-Derived DEMs

Volumetric Analysis of the Landslide in Abe Barek, Afghanistan Based on Nonlinear Mapping of Stereo Satellite Imagery-Derived DEMs

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