Sample sites collection of alpine vegetation in Guangou Valley of Wolong Reserve for Panda
CHANG Chun1WANG Xinyuan1YANG Ruixia1LIU Chuansheng1LUO Lei1ZHEN Jing1XIANG Bo1SONG Jingwei1LIAO Ying1
1Key Laboratory of Digital Earth Science，Institute of Remote Sensing and Digital Earth，CAS，Beijing100094，China
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Wolong,Guangou Valley,Natural Reserve for Panda,Alpine vegetation,Sample sites,Geographical Research
The Guangou Valley of Wolong Reserve for Panda is located among the area of 31。0′16〞N to 31。7′17〞N，103。2′13〞E to 103。8′42〞E. Based on the remote sensing images including the Landsat TM on June 26, 1994, September 17, 2007 and WorldView-2 image on December 10, 2010, as well as the ASTER GDEM and the field surveying and vegetation maps, the Sample sites collection of alpine vegetation in Guangou Valley of Wolong Reserve for Panda was developed. The dataset is consisted of 122 sample sites, which include 54 alpine bushes and meadow sites, 8 broad-leaved forest sites, 31 coniferous forest sites and 30 bare land sites. The elevation and NDVI in 1994 and 2007 for each sample sites are listed in the dataset. Besides, the NDVI and Elevation data and Moving average values and variances of NDVI were included. The dataset is archived in the .kmz, .shp, .tif and .xlsx data formats with the compressed data size of 476KB. The analysis paper was published in the Journal of Geographical Research,No.11,Vol.34,2015.
Ministry of Science and Technology of China(S2013GR0477);National Natural Science Foundation of China(41271427)
CHANG Chun,WANG Xinyuan,YANG Ruixia,LIU Chuansheng,LUO Lei,ZHEN Jing,XIANG Bo,SONG Jingwei,LIAO Ying.2016.Sample sites collection of alpine vegetation in Guangou Valley of Wolong Reserve for Panda ( WolongAlpineVegetationSampleSites ) ,Global Change Research Data Publishing & Repository,DOI:10.3974/geodb.2016.05.15.V1
CHANG Chun, WANG Xinyuan, YANG Ruixia, LIU Chuansheng, LUO Lei, ZHEN Jing, XIANG Bo, SONG Jingwei, LIAO Ying. A quantitative characterization method for alpine vegetation zone based on DEM and NDVI. GEOGRAPHICAL RESEARCH, 2015, 34(11): 2113-2123.