Machine learningArtificial intelligenceLandslide detectionLandslide susceptibility assessmentConvolutional neural networksRemote sensingMultimodal data fusionThe WHO (World Health Organization) study reports tha
Constructing site-specific multivariate probability distribution model using Bayesian machine learning. J. Eng. Mech. 145 (1), 04018126. [5] Ding, A., Zhang, Q., Zhou, X., Dai, B., 2016. Automatic recognition of landslide based on CNN and texture change detection. In:Proceedings of the...
Moreover, image classification using OBIA preserves precise information from object borders and edges, unlike pixel-based methods (Majd et al. 2019). This study aims to improve the landslide detection map generated by a well-known FCN model of the ResU-Net using prior knowledge in the context ...
Exploring U-Net Deep Learning Model for Landslide Detection Using Optical Imagery, Geo-indices, and SAR Data in a Data Scarce Tropical Mountain Region. PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 2025. 14. Shawez, M., Gupta, V., Gupta, A.K. et al. ...
In the current study, seven advanced machine learning techniques including SVM, RF, MARS, ANN, QDA, LDA, and NB, were adapted to construct a landslides susceptibility maps using remote sensing and GIS techniques. These models were utilized for a number of reasons including, five of them have ...
Using the presented interactive software, a strategic decision maker can quickly define a scenario and instantly receive AI based insight using algorithms like automated regression analysis, anomaly detection and decomposition analysis. The user of the system does not need to have a background on AI ...
Detection and volume estimation of large-scale landslides based on elevation-change analysis using DEMs extracted from high-resolution satellite stereo imagery. IEEE Trans. Geosci. Rem. Sens. 45 (6), 1681-1696. [180] Turban, E., Aronson, J.E., 2001. Decision Support Systems and Intelligent...
& Gao, H. Rapid mapping of slow-moving landslides using an automated SAR processing platform (HyP3) and stacking-InSAR method. Remote Sens. 15, 1611 (2023). Article ADS Google Scholar Hussain, S. et al. Landslide detection and inventory updating using the time-series InSAR approach along ...
five advanced machine learning technologies (MLTs), including the Light Gradient Boosting Machine, extreme gradient boost, categorical boosting (CatBoost), support vector machine, and random forest, are utilized to landslide susceptibility modeling and their capabilities are compared through evaluation indica...
Landslide detection in the Himalayas using machine learning algorithms and U-Net 2022, Landslides A New Deep-Learning-Based Approach for Earthquake-Triggered Landslide Detection from Singleoral RapidEye Satellite Imagery 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing...