Results 41 to 50 of about 1,693,251 (168)

An Application of Sentinel-1, Sentinel-2, and GNSS Data for Landslide Susceptibility Mapping

open access: yesISPRS International Journal of Geo-Information, 2020
In this study, we used Sentinel-1 and Sentinel-2 data to delineate post-earthquake landslides within an object-based image analysis (OBIA). We used our resulting landslide inventory map for training the data-driven model of the frequency ratio (FR) for ...
Omid Ghorbanzadeh   +5 more
doaj   +1 more source

Creation of a Landslide Susceptibility Map Using Short‐Term Data From the July 2018 Heavy Rainfall in Southern Hiroshima Prefecture

open access: yesGeological Journal, EarlyView.
This work advances landslide susceptibility mapping by incorporating short‐term trigger data with landscape susceptibility mapping. We also examine the importance of downsampling, watershed delineation and geospatial correlations in evaluating outcomes.
Kanta Kotsugi   +3 more
wiley   +1 more source

Landslide susceptibility mapping using multi-criteria evaluation techniques in Chittagong Metropolitan Area, Bangladesh [PDF]

open access: yes, 2015
Landslides are a common hazard in the highly urbanized hilly areas in Chittagong Metropolitan Area (CMA), Bangladesh. The main cause of the landslides is torrential rain in short period of time.
Ahmed, B
core  

A Hybrid Fuzzy AHP–Fuzzy TOPSIS and GIS‐Based Framework for Mobile Clinic Location Selection in Conflict Zones: A Case Study From Northern Syria

open access: yesThe International Journal of Health Planning and Management, EarlyView.
ABSTRACT Providing healthcare services in conflict‐affected regions like northern Syria is a significant challenge due to ongoing conflict and massive displacement. Mobile clinics offer a flexible solution to meet the urgent healthcare needs of displaced communities.
Jamil Hallak   +2 more
wiley   +1 more source

Spatial Prediction of Landslide Susceptibility Using Random Forest Algorithm

open access: yes, 2020
Intelligent data analytics approaches are popular in landslide susceptibility mapping. This chapter develops a random forest (RF) approach for spatial modeling of landslide susceptibility.
Deo, Ravinesh C.   +5 more
core   +1 more source

Heat, Health and Holidays: Reported Heat Related Adjustments to Australian Tourist Behaviour

open access: yesInternational Journal of Climatology, EarlyView.
This study assessed how climate‐related hazards affect Australian tourists' travel planning. While 80% of tourists report no impact, the 20% who do experience disruption most commonly change their activities, timing, or destination, with heat and rain affecting the same proportion of tourists across beach, city, nature, and family tourism types ...
Kerstin K. Zander   +7 more
wiley   +1 more source

Quantitative landslide susceptibility assessment of the Waikato region using GIS [PDF]

open access: yes, 2010
Areas that have experienced landslide events in the past and the conditioning factors present at these sites can be used to identify areas of the same or similar susceptibility.
Schicker, Renee Deborah
core  

Landslide Susceptibility Mapping in Brazil: A Review

open access: yes, 2021
Landslide susceptibility studies are a common type of landslide assessment. Landslides are one of the most frequent hazards in Brazil, resulting in significant economic and social losses (e.g., deaths, injuries, and property destruction).
Hölbling, Daniel   +5 more
core   +1 more source

A Comprehensive Assessment of XGBoost Algorithm for Landslide Susceptibility Mapping in the Upper Basin of Ataturk Dam, Turkey

open access: yesApplied Sciences, 2021
The success rate in landslide susceptibility mapping efforts increased with the advancements in machine learning algorithms and the availability of geospatial data with high spatial and temporal resolutions.
Recep Can   +2 more
doaj   +1 more source

New geochronological constraints on Late Pleistocene glaciation in the southern Cadí Massif, SE Pyrenees

open access: yesJournal of Quaternary Science, EarlyView.
ABSTRACT The Cadí Massif (42°17′09″ N, 1°38′11″ E; 2649 m a.s.l.) in the southeastern Pyrenees preserves clear evidence of Late Pleistocene glaciation, although previous research has focused almost exclusively on its northern slope. By contrast, the southern slope has remained largely unexplored.
M. Oliva   +5 more
wiley   +1 more source

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