Satellite Image Based Mapping of Wetland Tundra Landscapes Using ILWIS GIS

• Main Author: Lemenkova, Polina
• Other Authors: Ocean University of China (OUC), Volga State University of Technology, A. V. Kusakin, T. N. Efimova
• Format: Conference Object
• Language: Russian
• Published: HAL CCSD 2015
• Subjects: Image analysis and processing system; Satellite image interpretation; Satellite image sequences; Satellite image analysis; Satellite imageries; Landsat 7 ETM+; Landsat ETM+; Landsat TM; GIS Data Modelling; GIS MAPPING; GIS Geographic Information System; GIS Climat Environnement Société; ACM: I.: Computing Methodologies; ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION; ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.6: Methodology and Techniques; ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.6: Methodology and Techniques/I.3.6.2: Graphics data structures and data types; 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; ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.0: Edge and feature detection; ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement; 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.4.0: General; 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.4.0: General/I.4.0.1: Image processing software; ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.2: Compression (Coding); 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.4.1.4: Reflectance; ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.1: Digitization and Image Capture/I.4.1.5: Sampling; 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.3: COMPUTER GRAPHICS; ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.2: Graphics Systems; [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]; [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing; [INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG]; [STAT]Statistics [stat]; [STAT.ME]Statistics [stat]/Methodology [stat.ME]; [STAT.CO]Statistics [stat]/Computation [stat.CO]; [STAT.AP]Statistics [stat]/Applications [stat.AP]; [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]; [SHS.GEO]Humanities and Social Sciences/Geography; [SHS.ENVIR]Humanities and Social Sciences/Environmental studies; [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]; [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]; [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]; [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]; Arctic; Bovanenkovo; Yamal Peninsula; Subarctic; Tundra
• Online Access: https://hal.archives-ouvertes.fr/hal-02000863; https://hal.archives-ouvertes.fr/hal-02000863/document; https://hal.archives-ouvertes.fr/hal-02000863/file/Lemenkova_Paper_Yoshkar-Ola2015.pdf; https://doi.org/10.6084/m9.figshare.7435520

International audience The aim of the work is the analysis of the distribution of different types of the landscapes in the wetland tundra of the Yamal Peninsula. The Yamal Peninsula is important biogeographic region of the Arctic. It is located in the subarctic continental climate zone and crosses two main physical and geographical regions: subarctic and Arctic tundra. The geomorphological feature of Yamal consists in almost flat plain surface. This creates favourable conditions for the formation of a dense network of interconnected small lakes and shallow rivers and wetlands. The wetland areas, swamps and areas with high moist soil dominating in this area are subject to regular annual seasonal flooding, in particular in spring. Current work reports monitoring of the changes in land cover types of tundra landscapes for 2 decades (1988-2011). Technically, the analysis of landscape dynamics was performed by Landsat TM satellite images for 1988 and 2011. The originality of the work lies in the application of ILWIS GIS software for the spatial analysis and processing of space on the Bovanenkovo region, Yamal, Russia.