Results 61 to 70 of about 26,434 (253)
Geological 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
Remote SensingThe geological environment is characterized by continuous dynamic changes. Landslide activity characteristics can reflect the geological environmental background that affects the landslide development in different historical periods.
Zhihua Yang +5 more
doaj +1 more source
Landslide Susceptibility Prediction Based on High-Trust Non-Landslide Point Selection
ISPRS International Journal of Geo-Information, 2022 Landslide susceptibility prediction has the disadvantages of being challenging to apply to expanding landslide samples and the low accuracy of a subjective random selection of non-landslide samples.
Yizhun Zhang, Qisheng Yan
doaj +1 more source
Earthquake-induced landslide-susceptibility mapping using an artificial neural network [PDF]
, 2006 The purpose of this study was to apply and verify landslide-susceptibility analysis techniques using an artificial neural network and a Geographic Information System (GIS) applied to Baguio City, Philippines.
D. G. Evangelista, S. Lee
core +1 more source
Seasonal Variability of Precipitating Systems in Four Radar Domains of Northeast Brazil
International Journal of Climatology, EarlyView.This study analyzes the climatology and evaluates how the physical aspects of precipitating systems are influenced by the dry and wet seasons in Northeast Brazil, highlighting seasonal variations in the frequency, size, intensity, and duration of these systems in the regions of Natal, Maceió, Petrolina, and Salvador.
Amanda Carolina da Silva Queiroz +1 more
wiley +1 more source
Geomatics, Natural Hazards & RiskLandslide susceptibility assessment is crucial for geological disaster prevention, and the selection of non-landslide points significantly affects evaluation results.
Lianchen Liu +3 more
doaj +1 more source
Landslide susceptibility assessment based on the SOM-I-SVM model
Shuiwen dizhi gongcheng dizhi, 2023 When using machine learning models for landslide susceptibility evaluation, the non-landslide sample points are usually selected randomly outside the landslide influence area, leading to a certain error.
Yufei JIA +5 more
doaj +1 more source
Assessing Past and Future Temperature‐ and Precipitation‐Based Indicators in the Republic of Yemen
International Journal of Climatology, EarlyView.For the first time in the literature, this work assesses the past and future climatic trends over Yemen, a highly vulnerable country for which science‐based, high‐quality information for the development of climate change adaptation plans was not available until now.
Jorge Alvar‐Beltrán +5 more
wiley +1 more source
Landslide Susceptibility Assessment in a Basement Environment using Slope and Geoelectric Parameters: Case Study of Adebowale Area, Akure Southwestern Nigeria [PDF]
Physics AccessThe assessment of landslide susceptibility was carried out at Adebowale community in Akure South Local Government Area of Ondo State, Nigeria. A total of (60) sixty Vertical Electrical Sounding (VES) data were acquired using Schlumberger electrode ...
Adeyemo I Adedotun
doaj +1 more source
Remote Sensing, 2022 Amplifying landslide hazards in the backdrop of warming climate and intensifying human activities calls for an integrated framework for accurately evaluating landslide susceptibility at fine spatiotemporal resolutions, which is critical for the ...
Wenhuan Wu +6 more
doaj +1 more source