An approach for landslide risk assesment by using geographic information systems (gis) and remote sensing (rs)

Download
2009
Erener, Arzu
This study aims to develop a Geographic Information Systems (GIS) and Remote Sensing (RS) Based systematic quantitative landslide risk assessment methodology for regional and local scales. Each component of risk, i.e., hazard assessment, vulnerability, and consequence analysis, is quantitatively assessed for both scales. The developed landslide risk assessment methodology is tested at Kumluca watershed, which covers an area of 330 km2, in Bartın province of the Western Black Sea Region, Turkey. GIS and RS techniques are used to create landslide factor maps, to obtain susceptibility maps, hazard maps, elements at risk and risk maps, and additionally to compare the obtained maps. In this study, the effect of mapping unit and mapping method upon susceptibility mapping method, and as a result the effect upon risk map, is evaluated. Susceptibility maps are obtained by using two different mapping units, namely slope unit-based and grid-based mapping units. When analyzing the effect of susceptibility mapping method, this study attempts to extend Logistic Regression (LR) and Artificial Neural Network (ANN) by implementing Geographically-Weighted Logistic Regression (GWR) and spatial regression (SR) techniques for landslide susceptibility assessment. In addition to spatial probability of occurrence of damaging events, landslide hazard calculation requires the determination of the temporal probability. Precipitation triggers the majority of landslides in the study region. The critical rainfall thresholds were estimated by using daily and antecedent rainfalls and landslide occurrence dates based on three different approaches: Time Series, Gumble Distribution and Intensity Duration Curves. Different procedures are adopted to obtain the element at risk values and vulnerability values for local and regional scale analyses. For regional scale analysis, the elements at risk were obtained from existing digital cadastral databases and vulnerabilities are obtained by adopting some generalization approaches. On the other hand, on local scale the elements at risk are obtained by high resolution remote sensing images by the developed algorithms in an automatic way. It is found that risk maps are more similar for slope unit-based mapping unit than grid–based mapping unit.

Suggestions

Uncertainty models for vector based functional curves and assessing the reliability of G-Band
Kurtar, Ahmet Kürşat; Düzgün, H. Şebnem; Department of Geodetic and Geographical Information Technologies (2006)
This study is about uncertainty medelling for vector features in geographic information systems (GIS). It has mainly two objectives which are about the band models used for uncertainty modelling . The first one is the assessment of accuracy of GBand model, which is the latest and the most complex uncertainty handling model for vector features. Some simulations and tests are applied to test the reliability of accuracy of G-Band with comparing Chrisman’s epsilon band model, which is the most frequently used b...
Development of GIS-based national hydrography dataset, sub-basin boundaries, and water quality/quantity data analysis system for Turkey
Girgin, Serkan; Usul, Nurünnisa; Akyürek, Zuhal; Department of Geodetic and Geographical Information Technologies (2003)
Computerized data visualization and analysis tools, especially Geographic Information Systems (GIS), constitute an important part of today̕s water resources development and management studies. In order to obtain satisfactory results from such tools, accurate and comprehensive hydrography datasets are needed that include both spatial and hydrologic information on surface water resources and watersheds. If present, such datasets may support many applications, such as hydrologic and environmental modeling, imp...
Integration of geophysical - geological data using geographic information systems
Şirinyıldız, Tunç; Toprak, Vedat; Department of Geodetic and Geographical Information Technologies (2003)
This study attempts to integrate geophysical data with other spatial data using Geographic Information Systems (GIS). The study is carried out in a part of Galatean Volcanic Province, north of Ankara. Gravity, magnetic, topographic, rock type and volcanic eruption center data are the data layers used in the study. All data layers are converted to raster format with a grid spacing of 100 m. The first step in the analysis is the pair-wise analyses of all data layers. For the geophysical data, different layers...
Relationship between settlement location and morphological landform : a GIS method applied to Çankırı province
Sürmeli, Biricik Gözde; Toprak, Vedat; Department of Geodetic and Geographical Information Technologies (2003)
This study aims to develop a method to investigate the relationship between settlement locations and the morphological landforms using geographical information systems (GIS). The method is applied to Çankiri province, a mountainous terrain, which is covered in seventy-seven sheets of topographic maps at 1:25.000 scale. Three databases are created and used in this study: 1) Settlement database comprising various topographic and landform attributes of 891 settlements, 2) Morphological landform database compos...
Seismic Microzonation of Erbaa, Tokat Province, Turkey, Based on Analytical Hierarchical Process
Akin, Muge K.; Topal, Tamer; Kramer, Steven L. (2012-05-01)
This study is to develop a seismic microzonation map using Analytical Hierarchical Process (AHP), one of the Multicriteria Decision Analysis methods based on Geographical Information Systems. The study area, Erbaa, is located along the eastern segment of the North Anatolian Fault Zone and is one of the largest towns and one of 12 districts within Tokat Province (population, similar to 176,000) in the Middle Black Sea Region of Turkey. Erbaa is located on the southwest bank of the Kelkit River. After the dis...
Citation Formats
A. Erener, “An approach for landslide risk assesment by using geographic information systems (gis) and remote sensing (rs),” Ph.D. - Doctoral Program, Middle East Technical University, 2009.