Combined use of remote sensing, GIS and GPS data for landslide mapping

Nikolakopoulos, Konstantinos G.; Vaiopoulos, Dimitrios A.; Skianis, Georgios Aim.; Sarantinos, P.; Tsitsikas, A.

doi:10.1109/igarss.2005.1526855

Cited by 15 publications

(7 citation statements)

References 13 publications

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“…Nowadays in this direction, Earth observation has been developed providing sufficient and effective results, however through the integration of different remote sensing data and newer methodologies of information acquisition (Nikolakopoulos et al, 2015;Nikolakopoulos, Vaiopoulos, Skianis, Sarantinos, & Tsitsikas, 2005). Specifically, Landsat-8 data and PALSAR-2 data along with GIS techniques were used successfully in order to identify and map landslide zones triggered by intense rainfall in a high vegetation region at Peninsular Malaysia (Hashim, Pour, & Misbari, 2017).…”

Section: Introductionmentioning

confidence: 99%

Landslide mapping using optical and radar data: a case study from Aminteo, Western Macedonia Greece

Kyriou

Nikolakopoulos

2019

European Journal of Remote Sensing

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Landslide mapping is one of the most important steps which take place in the early stages of a landslide survey, contributing to the immediate assessment of slide's effects. Nowadays in this direction, different remote sensing techniques have been developed providing effective results. This work deals with the exploitation of optical data as well as radar data aiming at the mapping of a landslide area located in Western Macedonia, Greece. The landslide occurred in June 2017 at the lignite open pit mine of Aminteo. In that context Sentinel-1, Sentinel-2 and Landsat-8 data were acquired in order to be processed appropriately for the imprinting of disturbed areas. In particular, Sentinel-1 images before and after the landslide were processed interferometrically, yielding to the estimation of vertical displacements. Concerning optical data, the images were submitted to diverse digital processing techniques the results were visualized in GIS environment. The derived results were compared and evaluated for their accuracy and identification. It is worth mentioning that the specific methodology may also be applied to more extensive landslides or landslides triggered by different factors. Additionally, it could be assumed that the methodology can be applied to mass movements as a result of earthquakes.

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Section: Introductionmentioning

confidence: 99%

Landslide mapping using optical and radar data: a case study from Aminteo, Western Macedonia Greece

Kyriou

Nikolakopoulos

2019

European Journal of Remote Sensing

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“…Technological progress has provided various advanced tools and techniques for land use monitoring. In recent years, aerial photos or satellite images have been commonly used in post-disaster interpretations and assessments of landslide damage on large-area slopes (Erbek et al, 2004;Lillesand et al, 2004;Nikolakopoulos et al, 2005;Lin et al, 2005;Chen et al, 2009;Otukei and Blaschke, 2010;Chen et al, 2013a). Satellite images offer the advantages of short data acquisition cycles, swift understanding of surface changes, large data ranges, and being low cost, particularly for mountainous and inaccessible areas.…”

Section: Introductionmentioning

confidence: 99%

Scale and spatial distribution assessment of rainfall-induced landslides in a catchment with mountain roads

Tseng

Chen

Wu³

2018

Nat. Hazards Earth Syst. Sci.

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Abstract. This study focused on landslides in a catchment with mountain roads that were caused by Nanmadol (2011) and Kong-rey (2013) typhoons. Image interpretation techniques were employed to for satellite images captured before and after the typhoons to derive the surface changes. A multivariate hazard evaluation method was adopted to establish a landslide susceptibility assessment model. The evaluation of landslide locations and relationship between landslide and predisposing factors is preparatory for assessing and mapping landslide susceptibility. The results can serve as a reference for preventing and mitigating slope disasters on mountain roads.

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“…Rockslide activity endangers surface and subsurface infrastructure, and is able to trigger other hazards, by, for instance, damming a river and causing a flood hazard. Digital image analysis techniques for mapping landslides and monitoring related elevation changes from repeated DEMs are comparably often applied (Mantovani et al, 1996;Mass et al, 1997;Weber and Herrmann, 2000;Chandler, 2001;Nikolakopoulos et al, 2005). Some other studies focused mainly on the use of remote sensing data on horizontal displacement measurements (Powers et al, 1996;Baum et al, 1998;Kaab, 2000).…”

Section: Introductionmentioning

confidence: 99%

Landslide detection using ALOS optical and radar data. A case study from the Ilia prefecture.

2016

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In this study the usefulness of the ALOS optical and radar data for landslide monitoring is examined. ALOS contains three sensors, commonly referred to as the “three eyes” of ALOS. These sensors are: the Panchromatic Remote-Sensing Instrument for Stereo Mapping (PRISM), the Advanced Visible and Near Infrared Radiometer type 2 (AVNIR-2), and the Phased Array type L-band Synthetic Aperture Radar (PALSAR). The area of study is located in a small village named Sykies near to the city of Andritsena in Western Peloponnese. The area suffered during the last years from enormous fires. As a result many landslides have been recorded. One of the latest Landslides has been recorded on January 2009 as a consequence of heavy rains. That landslide was mapped in situ using differential GPS. The possibility of detecting and mapping the specific landslide using ALOS data is examined in this study and the results are presented. Thirty ALOS radar images within a period of three years, two ALOS Prism data sets and two ALOS AVNIR collected over the same area within a year were used.

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Combined use of remote sensing, GIS and GPS data for landslide mapping

Cited by 15 publications

References 13 publications

Landslide mapping using optical and radar data: a case study from Aminteo, Western Macedonia Greece

Landslide mapping using optical and radar data: a case study from Aminteo, Western Macedonia Greece

Scale and spatial distribution assessment of rainfall-induced landslides in a catchment with mountain roads

Landslide detection using ALOS optical and radar data. A case study from the Ilia prefecture.

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