| 来源类型 | Article |
| 规范类型 | 其他 |
| DOI | 10.1134/S1995425515070136 |
| Estimation of forest area and its dynamics in Russia based on synthesis of remote sensing products. | |
| Schepaschenko D; Shvidenko AZ; Lesiv M; Ontikov PV; Shchepashchenko MV; Kraxner F | |
| 发表日期 | 2015 |
| 出处 | Contemporary Problems of Ecology 8 (7): 811-817 |
| 出版年 | 2015 |
| 语种 | 英语 |
| 摘要 | We review up-to-date, open access remote sensing (RS) products related to forest. We created a hybrid forest/non-forest map using geographically weighted regression (GWR) based on a number of recent RS products and crowdsourcing. The hybrid map has spatial resolution of 230 m and shows the extent of forest in Russia in 2010. We estimate area of Russian forest as 711 million ha (in accordance with Russian national forest definition). Compared to official data of the State Forest Register (SFR), RS estimates the area of forest to be considerably larger in European part (+12.2 million ha or +8%) and smaller in Asian (-39.8 million ha or -7%) part of Russia. We report the changing forest area in 2001-2010 and discuss main drivers: wildfire and encroachment of abandoned arable land. The methodology used here can be applied for monitoring of forest cover and enhancing the forest accounting system in Russia. |
| 主题 | Ecosystems Services and Management (ESM) |
| 关键词 | Russian forest remote sensing crowdsourcing forest cover geographically weighted regression |
| URL | http://pure.iiasa.ac.at/id/eprint/11296/ |
| 来源智库 | International Institute for Applied Systems Analysis (Austria) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/130191 |
| 推荐引用方式 GB/T 7714 | Schepaschenko D,Shvidenko AZ,Lesiv M,et al. Estimation of forest area and its dynamics in Russia based on synthesis of remote sensing products.. 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 | ||
| Estimation%20of%20Fo（702KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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