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来源类型Book Section
Forest map and its uncertainty as an important input for carbon sink estimation for Poland and Ukraine.
Lesiv M; Shvidenko A; Schepaschenko D; See L; Fritz S
发表日期2015
出处Proceedings, 4th International Workshop on Uncertainty in Atmospheric Emissions, 7-9 October 2015, Krakow, Poland. pp. 9-15 Warsaw, Poland: Systems Research Institute, Polish Academy of Sciences. ISBN 83-894-7557-X
出版年2015
语种英语
摘要Improving knowledge on the land cover and forest ecosystems is of a high importance for carrying out spatial inventories of emissions and removals in forestry as the best way to achieve reliable results of forest carbon account. The region of the study is the territory of Poland and Ukraine, covering a substantial part of European diversity of natural landscapes. In addition, Ukraine and Poland have a high potential to sequester carbon through afforestation. The accuracy of available forest maps varies considerably over space. We have applied the method of geographically weighted regression to generate a hybrid forest map for Poland and Ukraine. This method predicts land cover types based on crowdsourced data obtained from the Geo- Wiki project, and land cover/forest cover products derived from remote sensing. The hybrid forest cover was found to be more accurate than the individual forest maps extracted from global remote sensing land cover products.
主题Ecosystems Services and Management (ESM)
关键词4th International Workshop on Uncertainty in Atmospheric Emissions
URLhttp://pure.iiasa.ac.at/id/eprint/11891/
来源智库International Institute for Applied Systems Analysis (Austria)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/134444
推荐引用方式
GB/T 7714
Lesiv M,Shvidenko A,Schepaschenko D,et al. Forest map and its uncertainty as an important input for carbon sink estimation for Poland and Ukraine.. 2015.
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4thWorkshopProceedin(14026KB)智库出版物 限制开放CC BY-NC-SA浏览
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