Forest cover classification and geoinformation modeling of forest regeneration dynamics (Based on the example of the southern part of near-Yenisei Siberia)
- 作者: Ryzhkova V.A.1, Danilova I.V.1, Korets M.A.1
-
隶属关系:
- Sukachev Institute of Forest, Siberian Branch
- 期: 卷 9, 编号 6 (2016)
- 页面: 692-701
- 栏目: Article
- URL: https://journals.rcsi.science/1995-4255/article/view/201433
- DOI: https://doi.org/10.1134/S1995425516060111
- ID: 201433
如何引用文章
详细
An automated conjugate classification of forest growing conditions and forest vegetation has been developed based on the example of the southern part of Yenisei Siberia; maps of potential forest growing conditions and forest-cover regeneration dynamics have been constructed on the basis of the automated recognition of remote sensing data and a system of conjugate analysis of dissimilar data in GIS. The proposed approach makes it possible to promptly create and update forest cover maps, which is particularly important for the vast taiga regions of Siberia.
作者简介
V. Ryzhkova
Sukachev Institute of Forest, Siberian Branch
编辑信件的主要联系方式.
Email: vera@ksc.krasn.ru
俄罗斯联邦, Krasnoyarsk, 660036
I. Danilova
Sukachev Institute of Forest, Siberian Branch
Email: vera@ksc.krasn.ru
俄罗斯联邦, Krasnoyarsk, 660036
M. Korets
Sukachev Institute of Forest, Siberian Branch
Email: vera@ksc.krasn.ru
俄罗斯联邦, Krasnoyarsk, 660036
补充文件
