View in EDS

Error-Regulated Multi-Pass DInSAR Analysis for Landslide Risk Assessment.

Saved in:
Bibliographic Details
Title: Error-Regulated Multi-Pass DInSAR Analysis for Landslide Risk Assessment.
Authors: Jung Rack Kim1, Hye Won Yun2, van Gasselt, Stephan1,3 vanGasselt@gmail.com, YunSoo Choi1
Source: Photogrammetric Engineering & Remote Sensing. Apr2018, Vol. 84 Issue 4, p189-202. 14p.
Subjects: Synthetic aperture radar, Landslide hazard analysis, Remote-sensing images, Landslide prediction, Topography
Abstract: Landslide risk assessment based on Differential Interferometric SAR analyses (DInSAR) is associated with a number of error effects. We here approach the problem of assessing landslide risks over mountainous areas, where DInSAR observations are often influenced by orographic effects and inaccurate base topographies by employing a dedicated error compensation. In order to obtain accurate information on surface deformation, we apply corrections for DInSAR interferograms using high-resolution base topography and water vapor information obtained from a satellite radiometer. We observe that the corrected DInSAR output is in accordance with the environmental context as inferred by geological and geomorphological settings. It is feasible to better quantify landslide monitoring schemes whenever high-accuracy atmospheric error maps and a methodology to effectively compensate for external errors in DInSAR interferograms are available. The approach in this study can be further upgraded for future SAR-based assessments and various error correction approaches for even more precise landslide risk assessments. [ABSTRACT FROM AUTHOR]
Copyright of Photogrammetric Engineering & Remote Sensing is the property of ASPRS: The Imaging & Geospatial Information Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 129513811
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Error-Regulated Multi-Pass DInSAR Analysis for Landslide Risk Assessment.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Jung+Rack+Kim%22">Jung Rack Kim</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Hye+Won+Yun%22">Hye Won Yun</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22van+Gasselt%2C+Stephan%22">van Gasselt, Stephan</searchLink><relatesTo>1,3</relatesTo><i> vanGasselt@gmail.com</i><br /><searchLink fieldCode="AR" term="%22YunSoo+Choi%22">YunSoo Choi</searchLink><relatesTo>1</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Photogrammetric+Engineering+%26+Remote+Sensing%22">Photogrammetric Engineering & Remote Sensing</searchLink>. Apr2018, Vol. 84 Issue 4, p189-202. 14p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Synthetic+aperture+radar%22">Synthetic aperture radar</searchLink><br /><searchLink fieldCode="DE" term="%22Landslide+hazard+analysis%22">Landslide hazard analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Remote-sensing+images%22">Remote-sensing images</searchLink><br /><searchLink fieldCode="DE" term="%22Landslide+prediction%22">Landslide prediction</searchLink><br /><searchLink fieldCode="DE" term="%22Topography%22">Topography</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Landslide risk assessment based on Differential Interferometric SAR analyses (DInSAR) is associated with a number of error effects. We here approach the problem of assessing landslide risks over mountainous areas, where DInSAR observations are often influenced by orographic effects and inaccurate base topographies by employing a dedicated error compensation. In order to obtain accurate information on surface deformation, we apply corrections for DInSAR interferograms using high-resolution base topography and water vapor information obtained from a satellite radiometer. We observe that the corrected DInSAR output is in accordance with the environmental context as inferred by geological and geomorphological settings. It is feasible to better quantify landslide monitoring schemes whenever high-accuracy atmospheric error maps and a methodology to effectively compensate for external errors in DInSAR interferograms are available. The approach in this study can be further upgraded for future SAR-based assessments and various error correction approaches for even more precise landslide risk assessments. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Photogrammetric Engineering & Remote Sensing is the property of ASPRS: The Imaging & Geospatial Information Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=129513811
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.14358/PERS.84.4.189
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 14
        StartPage: 189
    Subjects:
      – SubjectFull: Synthetic aperture radar
        Type: general
      – SubjectFull: Landslide hazard analysis
        Type: general
      – SubjectFull: Remote-sensing images
        Type: general
      – SubjectFull: Landslide prediction
        Type: general
      – SubjectFull: Topography
        Type: general
    Titles:
      – TitleFull: Error-Regulated Multi-Pass DInSAR Analysis for Landslide Risk Assessment.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Jung Rack Kim
      – PersonEntity:
          Name:
            NameFull: Hye Won Yun
      – PersonEntity:
          Name:
            NameFull: van Gasselt, Stephan
      – PersonEntity:
          Name:
            NameFull: YunSoo Choi
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 04
              Text: Apr2018
              Type: published
              Y: 2018
          Identifiers:
            – Type: issn-print
              Value: 00991112
          Numbering:
            – Type: volume
              Value: 84
            – Type: issue
              Value: 4
          Titles:
            – TitleFull: Photogrammetric Engineering & Remote Sensing
              Type: main
ResultId 1