Landslide4sense: Reference benchmark data and deep learning models for landslide detection
This study introduces\textit {Landslide4Sense}, a reference benchmark for landslide
detection from remote sensing. The repository features 3,799 image patches fusing optical …
detection from remote sensing. The repository features 3,799 image patches fusing optical …
Identifying the essential conditioning factors of landslide susceptibility models under different grid resolutions using hybrid machine learning: A case of Wushan and …
This study attempts to identify the essential conditioning factors of landslides to increase the
predictive ability of landslide susceptibility models and explore the effects of different grid …
predictive ability of landslide susceptibility models and explore the effects of different grid …
[HTML][HTML] Machine-learning based landslide susceptibility modelling with emphasis on uncertainty analysis
Landslide susceptibility maps are vital tools used by decision-makers to adopt mitigation
strategies for future calamities. In this context, research on landslide susceptibility modelling …
strategies for future calamities. In this context, research on landslide susceptibility modelling …
A systematic review for assessing the impact of climate change on landslides: research gaps and directions for future research
The magnitude and intensity of landslides due to changing climate have created
environmental and socio-economic implications for society. Through an in-depth analysis of …
environmental and socio-economic implications for society. Through an in-depth analysis of …
Evaluation of potential changes in landslide susceptibility and landslide occurrence frequency in China under climate change
Climate change can alter the frequency and intensity of extreme rainfall across the globe,
leading to changes in hazards posed by rainfall-induced landslides. In recent decades …
leading to changes in hazards posed by rainfall-induced landslides. In recent decades …
GIS based landslide susceptibility mapping and assessment using weighted overlay method in Wayanad: A part of Western Ghats, Kerala
T Arumugam, S Kinattinkara, S Velusamy… - Urban Climate, 2023 - Elsevier
The objectives of the study are to generate a landslide susceptibility zonation (LSZ) map of
Wayanad for effective and efficient disaster management in the future and to determine the …
Wayanad for effective and efficient disaster management in the future and to determine the …
Landslide susceptibility assessment and mapping using state-of-the art machine learning techniques
HR Pourghasemi, N Sadhasivam, M Amiri, S Eskandari… - Natural Hazards, 2021 - Springer
Landslides pose a serious risk to human life and the natural environment. Here, we compare
machine learning algorithms including the generalized linear model (GLM), mixture …
machine learning algorithms including the generalized linear model (GLM), mixture …
Basin-wide flood depth and exposure mapping from SAR images and machine learning models
Recent years recorded an increasing number of short duration–high-intensity rainfall events
in the Indian subcontinent consequent with urban and riverine flash floods. Rapid …
in the Indian subcontinent consequent with urban and riverine flash floods. Rapid …
Characteristics and distribution of landslides in the populated hillslopes of Bujumbura, Burundi
D Kubwimana, L Ait Brahim, P Nkurunziza, A Dille… - Geosciences, 2021 - mdpi.com
Accurate and detailed multitemporal inventories of landslides and their process
characterization are crucial for the evaluation of landslide hazards and the implementation …
characterization are crucial for the evaluation of landslide hazards and the implementation …
4D electrical resistivity to monitor unstable slopes in mountainous tropical regions: an example from Munnar, India
The number of large landslides in India has risen in the recent years, due to an increased
occurrence of extreme monsoon rainfall events. There is an urgent need to improve our …
occurrence of extreme monsoon rainfall events. There is an urgent need to improve our …