Results 161 to 170 of about 18,543 (287)

Landslide susceptibility mapping of Gdynia using geographic information system-based statistical models

, 2021
Anna Małka
openalex   +1 more source

Landslide Susceptibility Mapping with Integrated SBAS-InSAR Technique: A Case Study of Dongchuan District, Yunnan (China). [PDF]

Sensors (Basel), 2022
Zhu Z, Gan S, Yuan X, Zhang J.
europepmc   +1 more source

Landslide susceptibility evaluation in the Beas River Basin of North-Western Himalaya: A geospatial analysis employing the Analytical Hierarchy Process (AHP) method

Quaternary Science Advances
In the North-Western Himalayas, particularly within the Beas Basin of Himachal Pradesh, landslide incidents are frequent, primarily due to the unique interplay of adverse geological conditions, heavy rainfall, and human factors. These incidents result in
Madhulika Singh, Varun Khajuria, Sachchidanand Singh, Kamal Singh   +3 more
doaj   +1 more source

Study on landslide susceptibility mapping based on rock-soil characteristic factors. [PDF]

Sci Rep, 2021
Yu X, Zhang K, Song Y, Jiang W, Zhou J.
europepmc   +1 more source

Training of Crisis Mappers and Map Production from Multi-sensor Data: Vernazza Case Study (Cinque Terre National Park, Italy) [PDF]

, 2012
This aim of paper is to presents the development of a multidisciplinary project carried out by the cooperation between Politecnico di Torino and ITHACA (Information Technology for Humanitarian Assistance, Cooperation and Action).
Boccardo, Piero, Chiabrando, Filiberto, Facello, Anna, Gnavi, Loretta, Lingua, Andrea Maria, Maschio, Paolo Felice, Pasquale, F., Spanò, A.   +7 more
core  

Geomorphological analysis and landslide susceptibility assessment of the Valcarene drainage basin (Elba Island, Northern Tyrrhenian Sea)

Journal of Maps
This paper presents a geomorphological analysis and landslide susceptibility assessment of the Valcarene drainage basin (Elba Island, Northern Tyrrhenian Sea). Morphometric analysis, geomorphological field mapping, and landslide susceptibility evaluation
Pasquale Marrese, Giorgio Paglia, Marcello Buccolini, Lucrezia Lorenzetti, Vania Mancinelli, Alessandro Di Meo, Giampiero D'Onofrio, Cecilia Luciani, Michela Marinozzi, Michele Roselli, Giovanni Santucci, Christian Valvano, Enrico Miccadei   +12 more
doaj   +1 more source

Landslide Susceptibility Mapping Using Machine Learning Algorithm Validated by Persistent Scatterer In-SAR Technique. [PDF]

Sensors (Basel), 2022
Hussain MA, Chen Z, Zheng Y, Shoaib M, Shah SU, Ali N, Afzal Z.   +6 more
europepmc   +1 more source

Uncertainties of landslide susceptibility prediction: influences of different study area scales and mapping unit scales [PDF]

Faming Huang, Yu Cao, Wangsen Li, Filippo Catani, Guquan Song, Jinsong Huang, Changshi Yu   +6 more
openalex   +1 more source

Vulnerability assessment using remote sensing: The earthquake prone megacity Istanbul, Turkey [PDF]

, 2007
Hazards like earthquakes are natural, disasters are not. Disasters result from the impact of a hazard on a vulnerable system or society at a specific location.
Dech, Stefan, Roth, Achim, Taubenböck, Hannes   +2 more
core  

Exploring Bayesian network model with noise filtering for rainfall-induced landslide susceptibility assessment in Fujian, China

Frontiers in Earth Science
Machine learning models have been increasingly popular in landslide susceptibility mapping based on the correlations among landslides and their inducing factors. However, mislabeled data in model training sets would deteriorate model accuracy. This study
Suhua Zhou, Suhua Zhou, Suhua Zhou, Jinfeng Li, Jinfeng Li, Jiuchang Zhang, Zhiwen Xu, Zhiwen Xu, Xianzhui Lu   +8 more
doaj   +1 more source