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.
GIS, Vegetation Cover, Remote Sensing Data
УДК 528.9
МОНИТОРИНГ СОВРЕМЕННОГО СОСТОЯНИЯ ЛЕСОВ ПО МАТЕРИАЛАМ ДИСТАНЦИОННОГО ЗОНДИРОВАНИЯ И ILWIS ГИС
FOREST MONITORING USING REMOTE SENSING DATA AND ILWIS GIS
Леменкова П.А., аспирант,
Карлов университет,
Институт экологических исследований
г. Прага, Чехия
DOI: 10.12737/16504
Аннотация: Работа оценивает изменения в типах растительного покрова российского Севера в течение последних двух десятилетий. Результаты проведенной классификации спутниковых снимкой показывают экологические аспекты изменения лесотундровых экосистем. Технически, обработка данных была выполнена в ПО ГИС ILWIS, с использованием методов дешифрирования и контролируемой классификации. Результаты позволяют выявить изменения в типах и распределении растительного покрова.
Summary: 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 performed 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.
Keywords: ГИС, растительный покров, спутниковые снимки
Ключевые слова: GIS, Vegetation Cover, Remote Sensing Data
Changes in the land cover types in the Russian North are caused by various reasons. These include multiple ecological and social factors, such as permafrost degradation, reindeer grazing and gas-field development, as well as overall climate and environmental changes [6]. The research area is geographically located on the north-western part of Yamal, West Siberia. The physical-geographical setting of the research area naturally defines its environmental conditions. Geomorphology of Yamal is flat homogeneous land with maximal elevations lower than 90 m [6]. The lowland region creates ideal conditions for the world’s largest contiguous high-latitude wetland system, which covers in total 900,000 km2 of peatlands [4].
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