date: 2024-04-07T13:05:45Z pdf:PDFVersion: 1.7 pdf:docinfo:title: A framework for automated landslide dating utilizing SAR-Derived Parameters Time-Series, An Enhanced Transformer Model, and Dynamic Thresholding xmp:CreatorTool: Elsevier access_permission:can_print_degraded: true subject: International Journal of Applied Earth Observation and Geoinformation, 129 (2024) 103795. doi:10.1016/j.jag.2024.103795 dc:format: application/pdf; version=1.7 pdf:docinfo:custom:robots: noindex pdf:docinfo:creator_tool: Elsevier access_permission:fill_in_form: true pdf:docinfo:custom:CreationDate--Text: 7th April 2024 pdf:encrypted: false dc:title: A framework for automated landslide dating utilizing SAR-Derived Parameters Time-Series, An Enhanced Transformer Model, and Dynamic Thresholding modified: 2024-04-07T13:05:45Z cp:subject: International Journal of Applied Earth Observation and Geoinformation, 129 (2024) 103795. doi:10.1016/j.jag.2024.103795 pdf:docinfo:custom:CrossMarkDomains[1]: elsevier.com robots: noindex pdf:docinfo:subject: International Journal of Applied Earth Observation and Geoinformation, 129 (2024) 103795. doi:10.1016/j.jag.2024.103795 pdf:docinfo:creator: Wandi Wang meta:author: Mahdi Motagh meta:creation-date: 2024-04-06T15:29:25Z created: Sat Apr 06 17:29:25 CEST 2024 access_permission:extract_for_accessibility: true Creation-Date: 2024-04-06T15:29:25Z pdf:docinfo:custom:CrossMarkDomains[2]: sciencedirect.com ElsevierWebPDFSpecifications: 7.0 pdf:docinfo:custom:doi: 10.1016/j.jag.2024.103795 Author: Mahdi Motagh producer: Acrobat Distiller 8.1.0 (Windows) pdf:docinfo:producer: Acrobat Distiller 8.1.0 (Windows) CreationDate--Text: 7th April 2024 doi: 10.1016/j.jag.2024.103795 dc:description: International Journal of Applied Earth Observation and Geoinformation, 129 (2024) 103795. doi:10.1016/j.jag.2024.103795 Keywords: Landslide,SAR,Anomaly detection,Deep-learning access_permission:modify_annotations: true dc:creator: Mahdi Motagh description: International Journal of Applied Earth Observation and Geoinformation, 129 (2024) 103795. doi:10.1016/j.jag.2024.103795 dcterms:created: 2024-04-06T15:29:25Z Last-Modified: 2024-04-07T13:05:45Z dcterms:modified: 2024-04-07T13:05:45Z title: A framework for automated landslide dating utilizing SAR-Derived Parameters Time-Series, An Enhanced Transformer Model, and Dynamic Thresholding xmpMM:DocumentID: uuid:1b499bed-4ce8-4c0c-b682-0d58baae1cbe Last-Save-Date: 2024-04-07T13:05:45Z CrossMarkDomains[1]: elsevier.com pdf:docinfo:keywords: Landslide,SAR,Anomaly detection,Deep-learning pdf:docinfo:modified: 2024-04-07T13:05:45Z meta:save-date: 2024-04-07T13:05:45Z Content-Type: application/pdf X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Mahdi Motagh dc:subject: Landslide,SAR,Anomaly detection,Deep-learning pdf:docinfo:custom:ElsevierWebPDFSpecifications: 7.0 access_permission:assemble_document: true xmpTPg:NPages: 14 access_permission:extract_content: true access_permission:can_print: true CrossMarkDomains[2]: sciencedirect.com meta:keyword: Landslide,SAR,Anomaly detection,Deep-learning access_permission:can_modify: true pdf:docinfo:created: 2024-04-06T15:29:25Z