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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 |
URL | http://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. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
forestry_2.pdf(3277KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
4thWorkshopProceedin(14026KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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