world.png
The assessment of damaged vegetation caused by ice-snow disaster
/static/upload/7f/7fcb9ffe-3d21-11e8-b2c5-00163e0618d6_m.jpg

Release time:2016-06-26

Browsing times: 497

Tag:

Data Abstract

The damaged degree of forest ice-snow frozen disaster contributes to reduce the loss of forest resources and forest ecosystem management, which is of great significance to the restoration of forest vegetation. This datasets are divided into two parts: the spatial distribution of damaged vegetation and evaluation on forest losses. Based on the dynamic threshold method, NDVI data is selected to extract the damaged forest caused by ice-snow disaster in 2008 and assess the forest losses. This dataset can be used to post-disaster various researches.

Format
Grid
Time begin
2008-01-01
Time end
2008-01-01
Contributor
2017-06-30
Organization
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
Date publication
2017-06-30
Source
Self-built
Dataset Size
10444.8 kb
Purpose
Science research、teaching、governemntn policy-making
Data Extension
.tif
Production Unit
Institute of Geographic Sciences and Resources Research, Chinese Academy of Science
Data Quality
This data is complete and reliable
Contributor Address
11A, Datun Road, Chaoyang District, Beijing, 100102, China, Institute of Geographic Sciences and Natural Resources Research, CAS.
Contributor Postcode
100101
Contributor Phone
010-64889048-8007
Contributor Email
wangxc.15s@igsnrr.ac.cn
Contributor Homepage
http://www.igsnrr.ac.cn
Responsible Name
WDC RRE Working Team
RespInst Name
Institute of Geographic Sciences and Natural Resources Research, CAS.
RespInst Address
11 A, Datun Road, Chaoyang District, Beijing, 100101, China.
RespInst Postcode
100101
RespInst Phone
+86-10-64889048-8006
RespInst Email
wdc-rre(at)lreis.ac.cn
RespInst Fax
+86-10-64889048
RespInst Homepage
http://english.igsnrr.cas.cn/


    Sign in for comments!
Comment list (0)

Information evaluation
Most attention
Recent articles
All rights reserved. © World Data Center for Renewable Resources and Environment, since 2014.