Use of Remote Sensing Technology for GIS Based Landslide Hazard Mapping

2009 ◽  
pp. 103-113
Author(s):  
S. Prabu ◽  
S. S. Ramakrishnan ◽  
Hema A. Murthy ◽  
R. Vidhya
Keyword(s):  
Remote Sensing ◽  
Landslide Hazard ◽  
Hazard Mapping ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Landslide Hazard Mapping

scholarly journals Remote sensing and GIS technology in landslide hazard mapping in the Colombian Andes

Episodes ◽  
1992 ◽  
Vol 15 (1) ◽  
pp. 32-35 ◽  
Author(s):  
E. Leroi ◽  
O. Rouzeau ◽  
J. -Y. Scanvic ◽  
C.C. Weber ◽  
G. Vargas C.
Keyword(s):  
Remote Sensing ◽  
Remote Sensing And Gis ◽  
Landslide Hazard ◽  
Hazard Mapping ◽  
Gis Technology ◽  
Colombian Andes ◽  
Landslide Hazard Mapping

scholarly journals APPLICATION OF PALSAR-2 REMOTE SENSING DATA FOR LANDSLIDE HAZARD MAPPING IN KELANTAN RIVER BASIN, PENINSULAR MALAYSIA

2016 ◽  
Vol XLI-B8 ◽  
pp. 413-416 ◽  
Author(s):  
Amin Beiranvand Pour ◽  
Mazlan Hashim
Keyword(s):  
Remote Sensing ◽  
River Basin ◽  
Remote Sensing Data ◽  
Peninsular Malaysia ◽  
Landslide Hazard ◽  
Hazard Mapping ◽  
Geological Structures ◽  
Sensing Data ◽  
Kelantan River Basin ◽  
Landslide Hazard Mapping

Yearly, several landslides ensued during heavy monsoons rainfall in Kelantan river basin, peninsular Malaysia, which are obviously connected to geological structures and topographical features of the region. In this study, the recently launched Phased Array type L-band Synthetic Aperture Radar-2 (PALSAR-2) onboard the Advanced Land Observing Satellite-2 (ALOS-2), remote sensing data were used to map geological structural and topographical features in the Kelantan river basin for identification of high potential risk and susceptible zones for landslides. Adaptive Local Sigma filter was selected and applied to accomplish speckle reduction and preserving both edges and features in PALSAR-2 fine mode observation images. Different polarization images were integrated to enhance geological structures. Additionally, directional filters were applied to the PALSAR-2 Local Sigma resultant image for edge enhancement and detailed identification of linear features. Several faults, drainage patterns and lithological contact layers were identified at regional scale. In order to assess the results, fieldwork and GPS survey were conducted in the landslide affected zones in the Kelantan river basin. Results demonstrate the most of the landslides were associated with N-S, NNW-SSE and NE-SW trending faults, angulated drainage pattern and metamorphic and Quaternary units. Consequently, structural and topographical geology maps were produced for Kelantan river basin using PALSAR-2 data, which could be broadly applicable for landslide hazard mapping.

scholarly journals APPLICATION OF PALSAR-2 REMOTE SENSING DATA FOR LANDSLIDE HAZARD MAPPING IN KELANTAN RIVER BASIN, PENINSULAR MALAYSIA

2016 ◽  
Vol XLI-B8 ◽  
pp. 413-416
Author(s):  
Amin Beiranvand Pour ◽  
Mazlan Hashim
Keyword(s):  
Remote Sensing ◽  
River Basin ◽  
Remote Sensing Data ◽  
Peninsular Malaysia ◽  
Landslide Hazard ◽  
Hazard Mapping ◽  
Geological Structures ◽  
Sensing Data ◽  
Kelantan River Basin ◽  
Landslide Hazard Mapping

Yearly, several landslides ensued during heavy monsoons rainfall in Kelantan river basin, peninsular Malaysia, which are obviously connected to geological structures and topographical features of the region. In this study, the recently launched Phased Array type L-band Synthetic Aperture Radar-2 (PALSAR-2) onboard the Advanced Land Observing Satellite-2 (ALOS-2), remote sensing data were used to map geological structural and topographical features in the Kelantan river basin for identification of high potential risk and susceptible zones for landslides. Adaptive Local Sigma filter was selected and applied to accomplish speckle reduction and preserving both edges and features in PALSAR-2 fine mode observation images. Different polarization images were integrated to enhance geological structures. Additionally, directional filters were applied to the PALSAR-2 Local Sigma resultant image for edge enhancement and detailed identification of linear features. Several faults, drainage patterns and lithological contact layers were identified at regional scale. In order to assess the results, fieldwork and GPS survey were conducted in the landslide affected zones in the Kelantan river basin. Results demonstrate the most of the landslides were associated with N-S, NNW-SSE and NE-SW trending faults, angulated drainage pattern and metamorphic and Quaternary units. Consequently, structural and topographical geology maps were produced for Kelantan river basin using PALSAR-2 data, which could be broadly applicable for landslide hazard mapping.

scholarly journals Analyzing the Effects of Spatial Resolution for Small Landslide Susceptibility and Hazard Mapping

2014 ◽  
Vol XL-1 ◽  
pp. 293-300 ◽  
Author(s):  
O. E. Mora ◽  
M. G. Lenzano ◽  
C. K. Toth ◽  
D. A. Grejner-Brzezinska
Keyword(s):  
Remote Sensing ◽  
Spatial Resolution ◽  
Landslide Susceptibility ◽  
Susceptibility Mapping ◽  
Landslide Susceptibility Mapping ◽  
Hazard Mapping ◽  
Surface Features ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Landslide Morphology

Spatial resolution plays an important role in remote sensing technology as it defines the smallest scale at which surface features may be extracted, identified, and mapped. Remote sensing technology has become a vital component in recent developments for landslide susceptibility mapping. The spatial resolution is essential, especially when landslides are small and the dimensions of slope failures vary. If the spatial resolution is relevant to the surface features found in the landslide morphology, it will help improve the extraction, identification and mapping of landslide surface features. Although, the spatial resolution is a well-known issue, few studies have demonstrated the potential effects it may have on small landslide susceptibility mapping. For these reasons, an evaluation to assess the impact of spatial resolution was performed using data acquired along a transportation corridor in Zanesville, Ohio. Using a landslide susceptibility mapping algorithm, landslide surface features were extracted and identified on a cell-by-cell basis from Digital Elevation Models (DEM) generated at 50, 100, 200 and 400 cm spatial resolution. The performance of the landslide surface feature extraction algorithm was then evaluated using an inventory map and a confusion matrix to assess the effects of spatial resolution. In addition to assessing the performance of the algorithm, we statistically analyzed the surface features and their relevant patterns. The results from this evaluation reveal patterns caused by the varying spatial resolution. From this study we can conclude that the spatial resolution has an effect on the accuracy and surface features extracted for small landslide susceptibility mapping, as the performance is dependent on the scale of the landslide morphology.

Hyperspectral Remote Sensing Technology (HRST) program

1997 ◽  
Author(s):  
Tom Wilson ◽  
Rebecca Baugh ◽  
Ron Contillo ◽  
Tom Wilson ◽  
Rebecca Baugh ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Hyperspectral Remote Sensing ◽  
Remote Sensing Technology ◽  
Sensing Technology
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