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Satellite Image Based Mapping of Wetland Tundra Landscapes Using ILWIS GIS

descriptionPublicationkeyboard_double_arrow_right Presentation , Other literature type , Conference object 01 Jan 2015Publisher:figshare
Authors: Polina Lemenkova;

doi: 10.6084/m9.figshare.7434620 , 10.6084/m9.figshare.7435520.v1 , 10.13140/rg.2.2.30084.88960 , 10.6084/m9.figshare.7434620.v1 , 10.6084/m9.figshare.7435520

handle: 11585/968219

Satellite Image Based Mapping of Wetland Tundra Landscapes Using ILWIS GIS

Abstract

Целью исследования является картографирование заболоченных областей п-ова Ямал на основе применения разновременных спутниковых снимков Landsat TM и программного обеспечения (ПО) ILWIS GIS. Полуостров Ямал является важным биогеографическим регионом Арктики, расположенным в пределах субарктической континентальной климатической зоны пересекая два основных физико-географических региона: субарктическая и арктическая тундры. Геоморфологическая особенность Ямала — практически плоская равнинная поверхность — создает прекрасные условия для формирования здесь густой сети взаимосообщающихся небольших озер и неглубоких рек, а также заболоченной местности, районов с топями и местностей с повышено влажной почвой, которые подвергаются регулярному ежегодному сезонному затапливанию, характерному в весенне время. Задача исследования — визуализировать экологическую динамику изменения избранных ландшафтов на Крайнем Севере России методами ГИС. Представленная работа продемонстрировала успешное применение ГИС-технологий для обработки данных спутниковых снимков, а также проиллюстрировала изменение тундровых ландшафтов в заболоченной местности п-ова Ямал на Крайнем Севере России.

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.

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Keywords

Satellite Imagery, [SDE] Environmental Sciences, Landsat ETM+, [INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO], Satellite image sequences, Image Processing, [SHS.GEO] Humanities and Social Sciences/Geography, GIS Geographic Information System, [INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR], [INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS], Remote Sensing and Geomatics, Remote Sensing Image Classification, Image analysis, Remote Sensing, Landsat TM and ETM data, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [STAT.AP] Statistics [stat]/Applications [stat.AP], [SHS.ENVIR] Humanities and Social Sciences/Environmental studies, [SDE.ES] Environmental Sciences/Environment and Society, Remote Sensing Image, [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM], GIS Data Modelling, Remote Sensing monitoring, Image analysis and processing system, [STAT.ME] Statistics [stat]/Methodology [stat.ME], Image Processing Computer-Assisted, [INFO.INFO-IA] Computer Science [cs]/Computer Aided Engineering, GIS Climat Environnement Société, Landsat 7 ETM+, [INFO.INFO-MS] Computer Science [cs]/Mathematical Software [cs.MS], [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], Satellite imageries, [INFO.INFO-NA] Computer Science [cs]/Numerical Analysis [cs.NA], Landsat TM, [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation, [SDE.IE] Environmental Sciences/Environmental Engineering, [INFO.INFO-AU] Computer Science [cs]/Automatic Control Engineering, [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, [INFO] Computer Science [cs], [STAT.CO] Statistics [stat]/Computation [stat.CO], [SDU] Sciences of the Universe [physics], Landsat TM and ETM images, Satellite image analysis, Remote Sensing Data, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], [STAT.ML] Statistics [stat]/Machine Learning [stat.ML], [STAT] Statistics [stat], Image Processing and Computer Vision, [SDE.BE] Environmental Sciences/Biodiversity and Ecology, Image Processing and Forming, [SDE.MCG] Environmental Sciences/Global Changes, [INFO.INFO-CG] Computer Science [cs]/Computational Geometry [cs.CG], GIS MAPPING, [SDU.STU] Sciences of the Universe [physics]/Earth Sciences, [INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR], [INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC], Satellite image interpretation, environmental monitoring, GIS, land cover change, land use types, satellite image processing, image classification

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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