Forest Monitoring Using Remote Sensing Data and ILWIS GIS

• Main Author: Lemenkova, Polina
• Other Authors: Ocean University of China (OUC), Voronezh State University of Forestry and Technologies n. a. G. Morozov VGLTU, V. M. Bugakov
• Format: Conference Object
• Language: English
• Published: HAL CCSD 2015
• Subjects: Landsat 7 ETM+; Land cover map; GIS & Spatial Analyses; Vegetation Cover; GIS; Land cover change; GIS Climat Environnement Société; SIG Raster; SIG Systèmes d'information géographique; SIG et modélisation spatiale; ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION; 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.4.1: 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.4.10: Image Representation; ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation/I.4.10.3: Statistical; ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.0: Color; 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.4.3: Enhancement; 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; 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.5.3.0: Algorithms; 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/I.5.5: Implementation/I.5.5.1: Special architectures; [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]; [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing; [INFO.INFO-AO]Computer Science [cs]/Computer Arithmetic; [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [SHS.GEO]Humanities and Social Sciences/Geography; [SHS.ENVIR]Humanities and Social Sciences/Environmental studies; [SDV.EE.ECO]Life Sciences [q-bio]/Ecology; environment/Ecosystems; [SDE.BE]Environmental Sciences/Biodiversity and Ecology; [SDE.MCG]Environmental Sciences/Global Changes; [SDE.ES]Environmental Sciences/Environmental and Society; [SDE.IE]Environmental Sciences/Environmental Engineering; [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]; [INFO.INFO-CY]Computer Science [cs]/Computers and Society [cs.CY]; [INFO.EIAH]Computer Science [cs]/Technology for Human Learning; Yamal Peninsula
• Online Access: https://hal.archives-ouvertes.fr/hal-01974737; https://hal.archives-ouvertes.fr/hal-01974737/document; https://hal.archives-ouvertes.fr/hal-01974737/file/Lemenkova_Voronezh_VGLTU.pdf; https://doi.org/10.6084/m9.figshare.7210364

International audience This paper focuses on the assessment of the changes in land cover types in Yamal peninsula over the past two decades, which shows local environmental aspects of the climate change in North. Technically, the data processing was per- formed in ILWIS GIS, using semi-automated methods of image interpretation and supervised classification. The results of the classification analysis enable to identify changes in land cover types and their distribution in Yamal.