Risks of cryogenic landslide hazards and their impact on ecosystems in cold environments

• Main Author: Lemenkova, Polina
• Other Authors: Ocean University of China (OUC), Finnish Center for International Mobility (CIMO), Finland. Grant reference: TM-10-7124.
• Format: Conference Object
• Language: English
• Published: HAL CCSD 2014
• Subjects: Image processing; Digital image analysis; Satellite image analysis; Satellite image interpretation; Landsat TM and ETM images; Landsat Imagery; Land cover and land use; Landscape Analysis; Land cover and land use changes; GIS & Spatial Analyses; GIS Data Modelling; Cartograhie; ACM: I.: Computing Methodologies; ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION; ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.1: Digitization and Image Capture/I.4.1.1: Imaging geometry; ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.1: Digitization and Image Capture/I.4.1.6: Scanning; ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.1: Digitization and Image Capture/I.4.1.2: Quantization; ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models; ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering; ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering/I.5.3.1: Similarity measures; ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION; ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING; ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS; ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.1: Digitization and Image Capture; ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis; ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation; ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.1: Pixel classification; ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.2: Region growing; partitioning; [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]; [SDE.BE]Environmental Sciences/Biodiversity and Ecology; [INFO.INFO-CY]Computer Science [cs]/Computers and Society [cs.CY]; [SDE.MCG]Environmental Sciences/Global Changes; [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]; [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]; [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]; [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation; [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]; [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing; Bovanenkovo; Yamal Peninsula; permafrost; Tundra; Siberia
• Online Access: https://hal.archives-ouvertes.fr/hal-01972867; https://hal.archives-ouvertes.fr/hal-01972867/document; https://hal.archives-ouvertes.fr/hal-01972867/file/Lemenkova_IRLA2014_Poster.pdf; https://doi.org/10.6084/m9.figshare.7435193.v1

International audience Research area: The research area is geographically located on the Bovanenkovo region, the northwestern part of Yamal Peninsula, West Siberia, Russia. Yamal Peninsula is a flat homogeneous lowland region with low-lying plains of heights lower than 90m. Such geographic settings...