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

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...

Full description

Bibliographic Details
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:
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
id ftccsdartic:oai:HAL:hal-01972867v1
record_format openpolar
institution Open Polar
collection Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe)
op_collection_id ftccsdartic
language English
topic 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
spellingShingle 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
Lemenkova, Polina
Risks of cryogenic landslide hazards and their impact on ecosystems in cold environments
topic_facet 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
description 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 create specific local environmental conditions in the region. Thus, Yamal is the worlds largest high-latitude wetland system covering in total 900,000 km² of peatlands, complex system of wetlands, dense lake and river network. Typical for this region are seasonal flooding, active erosion processing, permafrost distribution and intensive local landslides. Dominating vegetation types are typical tundra species: heath, grasses, moss, and lichens), and woody plants (shrubs and willows. the main environmental problems of this region are climate change and active landsliding, which affect on the landscapes and cause changes in vegetation coverage, i.e. land cover types. Research problem: The specific environmental problem of Yamal region is cryogenic landslides. The processes of superficial cryogenic landslides are especially active in tundra. Distribution of the permafrost, which serves as a shear surface for sliding, highly contributes to the landslide formation in this area. Cryogenic landslides developed on the fine-grained, saline marine sediments are common destructive disastrous geomorphological hazards on the Yamal Peninsula covering ca 70% of the area). Methods: The research main method consists in Landsat TM image classification, spatial analysis and thematic mapping, technically performed in ILIWIS GIS software. The choice of Landsat scenes for land cover mapping is explained by their well-known advantages of application in geosciences and cartography, almost 40 year old history of the image record, and free availability. The images have a time span of 23 years: 1988 and 2011, taken in growing season, i.e. summer to early autumn, with clearly visible vegetation coverage.The research workflow.1. Data capture and ...
author2 Ocean University of China (OUC)
Finnish Center for International Mobility (CIMO), Finland. Grant reference: TM-10-7124.
format Conference Object
author Lemenkova, Polina
author_facet Lemenkova, Polina
author_sort Lemenkova, Polina
title Risks of cryogenic landslide hazards and their impact on ecosystems in cold environments
title_short Risks of cryogenic landslide hazards and their impact on ecosystems in cold environments
title_full Risks of cryogenic landslide hazards and their impact on ecosystems in cold environments
title_fullStr Risks of cryogenic landslide hazards and their impact on ecosystems in cold environments
title_full_unstemmed Risks of cryogenic landslide hazards and their impact on ecosystems in cold environments
title_sort risks of cryogenic landslide hazards and their impact on ecosystems in cold environments
publisher HAL CCSD
publishDate 2014
url 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
op_coverage Patras, Greece
long_lat ENVELOPE(68.437,68.437,70.354,70.354)
ENVELOPE(69.873,69.873,70.816,70.816)
geographic Bovanenkovo
Yamal Peninsula
geographic_facet Bovanenkovo
Yamal Peninsula
genre permafrost
Tundra
Yamal Peninsula
Siberia
genre_facet permafrost
Tundra
Yamal Peninsula
Siberia
op_source The Effects of Irrigation and Drainage on Rural and Urban Landscapes IRLA2014
https://hal.archives-ouvertes.fr/hal-01972867
The Effects of Irrigation and Drainage on Rural and Urban Landscapes IRLA2014, Nov 2014, Patras, Greece. 2014, ⟨10.6084/m9.figshare.7435193.v1⟩
op_relation info:eu-repo/semantics/altIdentifier/doi/10.6084/m9.figshare.7435193.v1
hal-01972867
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
doi:10.6084/m9.figshare.7435193.v1
op_rights info:eu-repo/semantics/OpenAccess
op_doi https://doi.org/10.6084/m9.figshare.7435193.v1
_version_ 1766166740864073728
spelling ftccsdartic:oai:HAL:hal-01972867v1 2023-05-15T17:58:11+02:00 Risks of cryogenic landslide hazards and their impact on ecosystems in cold environments Lemenkova, Polina Ocean University of China (OUC) Finnish Center for International Mobility (CIMO), Finland. Grant reference: TM-10-7124. Patras, Greece 2014-11-26 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 en eng HAL CCSD info:eu-repo/semantics/altIdentifier/doi/10.6084/m9.figshare.7435193.v1 hal-01972867 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 doi:10.6084/m9.figshare.7435193.v1 info:eu-repo/semantics/OpenAccess The Effects of Irrigation and Drainage on Rural and Urban Landscapes IRLA2014 https://hal.archives-ouvertes.fr/hal-01972867 The Effects of Irrigation and Drainage on Rural and Urban Landscapes IRLA2014, Nov 2014, Patras, Greece. 2014, ⟨10.6084/m9.figshare.7435193.v1⟩ 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 info:eu-repo/semantics/conferenceObject Poster communications 2014 ftccsdartic https://doi.org/10.6084/m9.figshare.7435193.v1 2020-12-24T23:17:48Z 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 create specific local environmental conditions in the region. Thus, Yamal is the worlds largest high-latitude wetland system covering in total 900,000 km² of peatlands, complex system of wetlands, dense lake and river network. Typical for this region are seasonal flooding, active erosion processing, permafrost distribution and intensive local landslides. Dominating vegetation types are typical tundra species: heath, grasses, moss, and lichens), and woody plants (shrubs and willows. the main environmental problems of this region are climate change and active landsliding, which affect on the landscapes and cause changes in vegetation coverage, i.e. land cover types. Research problem: The specific environmental problem of Yamal region is cryogenic landslides. The processes of superficial cryogenic landslides are especially active in tundra. Distribution of the permafrost, which serves as a shear surface for sliding, highly contributes to the landslide formation in this area. Cryogenic landslides developed on the fine-grained, saline marine sediments are common destructive disastrous geomorphological hazards on the Yamal Peninsula covering ca 70% of the area). Methods: The research main method consists in Landsat TM image classification, spatial analysis and thematic mapping, technically performed in ILIWIS GIS software. The choice of Landsat scenes for land cover mapping is explained by their well-known advantages of application in geosciences and cartography, almost 40 year old history of the image record, and free availability. The images have a time span of 23 years: 1988 and 2011, taken in growing season, i.e. summer to early autumn, with clearly visible vegetation coverage.The research workflow.1. Data capture and ... Conference Object permafrost Tundra Yamal Peninsula Siberia Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Bovanenkovo ENVELOPE(68.437,68.437,70.354,70.354) Yamal Peninsula ENVELOPE(69.873,69.873,70.816,70.816)