ILWIS GIS for monitoring landscapes in tundra ecosystems : Yamal peninsula, Russia

• Main Author: Lemenkova, Polina
• Other Authors: Ocean University of China (OUC)
• Format: Lecture
• Language: English
• Published: HAL CCSD 2012
• Subjects: Image classification; Satellite imagery; Landsat TM; Image processing Image recognition; Clustering Analysis; Land cover change; Landscape analysis; SIG Systèmes d'information géographique; SIG et modélisation spatiale; SIG et aménagement; ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION; ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION; ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering/I.5.3.0: Algorithms; ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS; ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING; 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.4.0: General/I.4.0.1: Image processing software; ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General/I.4.0.0: Image displays; 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.5: PATTERN RECOGNITION/I.5.1: Models; ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering; [SDE.ES]Environmental Sciences/Environmental and Society; [SDE.MCG]Environmental Sciences/Global Changes; [SDE.IE]Environmental Sciences/Environmental Engineering; [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]; [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]; [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing; [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]; [SHS.GEO]Humanities and Social Sciences/Geography; [SHS.ENVIR]Humanities and Social Sciences/Environmental studies; Arctic; Bovanenkovo; Yamal Peninsula; permafrost; Tundra
• Online Access: https://hal.archives-ouvertes.fr/cel-01973028; https://hal.archives-ouvertes.fr/cel-01973028/document; https://hal.archives-ouvertes.fr/cel-01973028/file/Lemenkova_etal_Present_Yamal2012.pdf; https://doi.org/10.6084/m9.figshare.7435373.v1

Master Brief Summary • distribution of various land cover types in Yamal Peninsula • monitoring changes in tundra landscapes • analysis of the landscape dynamics during the past two decades (1988-2011). Data: Landsat TM scenes for 1988 and 2011 years. Originality: Application of ILWIS GIS spatial analysis tools and Landsat imagery for Bovanenkovo region in Yamal. Methodology Technical tools: The RS data processing was performed in ILWIS GIS software. Research method: Image interpretation applied to Landsat TM scenes, and supervised classification. Geographic location: Yamal Peninsula, north Russia. Yamal Peninsula: geomorphology Specific climatic-environmental settings of Yamal Peninsula: flat geomorphology, elevations < 90 m. Processes: • seasonal flooding, • active erosion processing, • permafrost distribution and • intensive local landslides formation.Yamal Peninsula: environmental settings One of the typical process in Yamal tundra: cryogenic landslides. Landslides affect local ecosystem structure, because they change vegetation types recovering after the disaster.Image classification • The key research method is supervised classification (Minimal Distance), which is based on the spatial analysis of spectral signatures of object variables, i.e. vegetation types. • The classes sampling was performed using Sample Set tool in ILWIS GIS. • The training pixels for each land cover type were selected as representative samples and stored as classification key. • Requirement for training pixels: they have contrasting colors, visually visible and distinguishable on the image.Thematic mapping Layouts of main research results represent maps of the land cover classes. The created domain Land classes includes legend with representation colors visualizing each category.Environmental Analysis Results show: • overall increase of woody vegetation (willows and shrubs) • decrease of peatlands, grass and heath areas. This illustrates environmental process of greening in Arctic, i.e. the unnatural increase of woody plants. ...