Remote sensing methods for detection of landslide based on Machine learning and deep learning‐based classification methods have been discussed.doi:10.1002/ett.3998Amrita MohanAmit Kumar SinghBasant KumarRamji DwivediJohn Wiley & Sons, LtdTransactions on Emerging Telecommunications Technologies...
The aim of this paper is to give an overview on the applications of remote-sensing techniques for the landslide investigations, focusing on the achievements of the previous studies that have already been exhaustively reviewed in the existing literature. At the end of the paper, a new ...
Landslide measurements in north Greece using Uav photogrammetry for nature-based solutions. Sustainability 13:4697. https://doi.org/10.3390/su13094697 Article Google Scholar Trigo JF, Pacheco C, Fernandes J et al (2020) Geotechnical hazards in rocky slopes (northern portugal): focused on ...
et al. Effects of Irrigation Projects on the Classification of Yellow River Terrace Landslides and their Failure Modes: A Case Study of Heitai Terrace. Remote Sensing, 2023, 15(20): 5012. DOI:10.3390/rs15205012 98. Han, L., Duan, P., Liu, J. et al. Research on Landslide Trace ...
Selection of an appropriate mapping unit depends on a number of factors, namely: the type of landslide phenomena to be studied; the scale of the investigation; the quality, resolution, scale and type of the thematic information required; and the availability of the adequate information management ...
Data collected from the field visit and/or remote sensing image analyses are the initial steps for landslide studies. The technique, by which data pertaining to landslide study is generated, primarily depends on the scale of the study, purpose of the study and the accessibility to the study are...
Natural disasters: landslide mapping and damage assessment; Astronomy: planetary surfaces. We provide an overview of the various change detection techniques in the literature for the different application categories. The works and data types associated with these applications are listed in Table 4. ...
(Azarafza et al.2021). The landslide inventory dataset consisted of indices linked with 222 historical landslide occurrences, which were randomly separated into training (80%) and testing (20%) sets for the analysis. Based on field and remote sensing investigations, four key covariates were ...
The seismic microzonation studies are the most crucial methods used to mitigate primary and secondary seismic hazard effects such as liquefaction, ground shaking, lateral spreading, structural failure, and landslide, tsunami, flood and fire (Kramer1996; US Department of Transportation1997; Nath and J...
Secaida LPY, Mori S, Nomura R (2023) Assessment of natural disasters impact on cultural mayan heritage spaces in remotes villages of Guatemala: case of black salt. Sustainability 15(16):12591 ArticleGoogle Scholar Shi C, Yang B, Zhang YP, Yang JX (2020) Application of discrete-element nume...