GIS-BASED LANDSLIDE VOLUME ESTIMATION USING DIGITAL TERRAIN MODELS DERIVED FROM LIDAR AND RADAR SYSTEMS: CASE OF PIDIGAN, ABRA

Southwest Monsoon (Habagat) and Typhoon Luis caused a deep-seated landslide that struck Sitio Kayang, Brgy. Immuli, Pidigan, Abra on August 15, 2018. Rainfall-induced deep-seated landslides displace partially at a time which necessitates the determination of remaining landslide volume along the slop...

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Autores principales:	A. C. Dalagan, J. A. Principe
Formato:	article
Lenguaje:	EN
Publicado:	Copernicus Publications 2021
Materias:	Technology T Engineering (General). Civil engineering (General) TA1-2040 Applied optics. Photonics TA1501-1820
Acceso en línea:	https://doaj.org/article/16a9c54791854c57b54474a8ad3b34b7
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spelling	oai:doaj.org-article:16a9c54791854c57b54474a8ad3b34b72021-11-19T00:11:42ZGIS-BASED LANDSLIDE VOLUME ESTIMATION USING DIGITAL TERRAIN MODELS DERIVED FROM LIDAR AND RADAR SYSTEMS: CASE OF PIDIGAN, ABRA10.5194/isprs-archives-XLVI-4-W6-2021-109-20211682-17502194-9034https://doaj.org/article/16a9c54791854c57b54474a8ad3b34b72021-11-01T00:00:00Zhttps://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLVI-4-W6-2021/109/2021/isprs-archives-XLVI-4-W6-2021-109-2021.pdfhttps://doaj.org/toc/1682-1750https://doaj.org/toc/2194-9034Southwest Monsoon (Habagat) and Typhoon Luis caused a deep-seated landslide that struck Sitio Kayang, Brgy. Immuli, Pidigan, Abra on August 15, 2018. Rainfall-induced deep-seated landslides displace partially at a time which necessitates the determination of remaining landslide volume along the slope. In this study, the potential landslide volume and mass transport were estimated using several remote sensing products, including SAR (Synthetic Aperture Radar) data and LiDAR-DTM (Light Detection and Ranging-Digital Terrain Model). The post-landslide DTM was generated using Sentinel-1 SAR data. The potential landslide volume and landslide failure surfaces were ascertained through the stability analysis using Scoops3D, while the mass transport volume was obtained from the pre- and post-landslide DTM. Results showed that the estimated total volume in all the landslide areas was 135,962 m<sup>3</sup>. Meanwhile, the remaining landslide volume (i.e., difference between potential volume from pre-landslide event and volume of transported mass) yielded illogical values due to the derived large mass transport values. This blunder may be attributed to the generalization of the transported volume (due to Sentinel-1 DTM coarse resolution), and decorrelation due to vegetation cover. Overall, the LiDAR-DTM data delivered a high-resolution estimation of the potential landslide volume and proved to be useful for landslide application studies. Future studies may incorporate field data (e.g., geotechnical parameters, groundwater, landslide actual measurements) for more accurate performance of stability analysis and may best to utilize LiDAR-DTM in post-landslide volume computation for a more reliable estimation of mass transport and potentially remaining landslide volume.A. C. DalaganJ. A. PrincipeCopernicus PublicationsarticleTechnologyTEngineering (General). Civil engineering (General)TA1-2040Applied optics. PhotonicsTA1501-1820ENThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVI-4-W6-2021, Pp 109-115 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Technology T Engineering (General). Civil engineering (General) TA1-2040 Applied optics. Photonics TA1501-1820
spellingShingle	Technology T Engineering (General). Civil engineering (General) TA1-2040 Applied optics. Photonics TA1501-1820 A. C. Dalagan J. A. Principe GIS-BASED LANDSLIDE VOLUME ESTIMATION USING DIGITAL TERRAIN MODELS DERIVED FROM LIDAR AND RADAR SYSTEMS: CASE OF PIDIGAN, ABRA
description	Southwest Monsoon (Habagat) and Typhoon Luis caused a deep-seated landslide that struck Sitio Kayang, Brgy. Immuli, Pidigan, Abra on August 15, 2018. Rainfall-induced deep-seated landslides displace partially at a time which necessitates the determination of remaining landslide volume along the slope. In this study, the potential landslide volume and mass transport were estimated using several remote sensing products, including SAR (Synthetic Aperture Radar) data and LiDAR-DTM (Light Detection and Ranging-Digital Terrain Model). The post-landslide DTM was generated using Sentinel-1 SAR data. The potential landslide volume and landslide failure surfaces were ascertained through the stability analysis using Scoops3D, while the mass transport volume was obtained from the pre- and post-landslide DTM. Results showed that the estimated total volume in all the landslide areas was 135,962 m<sup>3</sup>. Meanwhile, the remaining landslide volume (i.e., difference between potential volume from pre-landslide event and volume of transported mass) yielded illogical values due to the derived large mass transport values. This blunder may be attributed to the generalization of the transported volume (due to Sentinel-1 DTM coarse resolution), and decorrelation due to vegetation cover. Overall, the LiDAR-DTM data delivered a high-resolution estimation of the potential landslide volume and proved to be useful for landslide application studies. Future studies may incorporate field data (e.g., geotechnical parameters, groundwater, landslide actual measurements) for more accurate performance of stability analysis and may best to utilize LiDAR-DTM in post-landslide volume computation for a more reliable estimation of mass transport and potentially remaining landslide volume.
format	article
author	A. C. Dalagan J. A. Principe
author_facet	A. C. Dalagan J. A. Principe
author_sort	A. C. Dalagan
title	GIS-BASED LANDSLIDE VOLUME ESTIMATION USING DIGITAL TERRAIN MODELS DERIVED FROM LIDAR AND RADAR SYSTEMS: CASE OF PIDIGAN, ABRA
title_short	GIS-BASED LANDSLIDE VOLUME ESTIMATION USING DIGITAL TERRAIN MODELS DERIVED FROM LIDAR AND RADAR SYSTEMS: CASE OF PIDIGAN, ABRA
title_full	GIS-BASED LANDSLIDE VOLUME ESTIMATION USING DIGITAL TERRAIN MODELS DERIVED FROM LIDAR AND RADAR SYSTEMS: CASE OF PIDIGAN, ABRA
title_fullStr	GIS-BASED LANDSLIDE VOLUME ESTIMATION USING DIGITAL TERRAIN MODELS DERIVED FROM LIDAR AND RADAR SYSTEMS: CASE OF PIDIGAN, ABRA
title_full_unstemmed	GIS-BASED LANDSLIDE VOLUME ESTIMATION USING DIGITAL TERRAIN MODELS DERIVED FROM LIDAR AND RADAR SYSTEMS: CASE OF PIDIGAN, ABRA
title_sort	gis-based landslide volume estimation using digital terrain models derived from lidar and radar systems: case of pidigan, abra
publisher	Copernicus Publications
publishDate	2021
url	https://doaj.org/article/16a9c54791854c57b54474a8ad3b34b7
work_keys_str_mv	AT acdalagan gisbasedlandslidevolumeestimationusingdigitalterrainmodelsderivedfromlidarandradarsystemscaseofpidiganabra AT japrincipe gisbasedlandslidevolumeestimationusingdigitalterrainmodelsderivedfromlidarandradarsystemscaseofpidiganabra
_version_	1718420595578765312

GIS-BASED LANDSLIDE VOLUME ESTIMATION USING DIGITAL TERRAIN MODELS DERIVED FROM LIDAR AND RADAR SYSTEMS: CASE OF PIDIGAN, ABRA

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