Fractional Vegetation Cover Dataset within 10 km Buffer Area along China-Laos-Thailand Railway (2017)
WU Junjun1LIU Qinhuo*1LI Li1GONG Wei1ZHONG Bo1TIAN Haifeng1
1 State Key Laboratory of Remote Sensing Science,Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences,Beijing 100101,China
DOI:10.3974/geodb.2018.07.20.V1
Published:Nov. 2018
Visitors:3029 Data Files Downloaded:42
Data Downloaded:7907.92 MB Citations:
Key Words:
China-Laos-Thailand railway,Fractional Vegetation Cover,Landsat-8 OLI,Pixel dichotomy model
Abstract:
China-Laos-Thailand railway is from Yunnan province of China through Laos to Bangkok or Royong in Thailand. The study area of fractional vegetation cover dataset within 10 km buffer area along China-Laos-Thailand railway (2017) is from 12°36′1″ to 24°26′25″N, 100°25′29″ to 103°2′56″E. Based on the Google Earth Engine cloud platform, using the time series of Landsat-8 normalized difference vegetation index (NDVI) dataset, we integrated the maximum composite method (MVC) and the Dimidiate Pixel Model to produce the annual maximum FVC dataset within 10 km buffer area along China-Laos-Thailand railway (2017). The data value ranges between 0 and 1, in which, 0 means no vegetation coverage and 1 means full of vegetation. The dataset shows that the FVC mainly ranges between 0.4~0.6, which is accounting for 60.70% of the total area; the FVC ranging of 0.6~0.8 accounts for 25.18% of the total area. The data is archived in .tif data format at 30 m resolution with data size of 1.64 GB in three files (Compressed to one single file with data size of 188 MB). The report based on the dataset was Global ecosystems and environment observation analysis research cooperation: regional ecosystem trends along the Belt and Road.
Foundation Item:
National Natural Science Foundation of China (41730107); Chinese Academy of Sciences (XDA19030304)
Data Citation:
WU Junjun, LIU Qinhuo*, LI Li, GONG Wei, ZHONG Bo, TIAN Haifeng.Fractional Vegetation Cover Dataset within 10 km Buffer Area along China-Laos-Thailand Railway (2017)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2018. https://doi.org/10.3974/geodb.2018.07.20.V1.
Tian, H. F., Niu, Z., Liu, Q. H., et al. The vegetation coverage datasets covering ten interconnection projects of the Belt and Road Initiative (2017) [J]. Journal of Global Change Data & Discovery, 2019, 3(1): 27–33. DOI: 10.3974/geodp.2019.01.04.
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FVC_China-Laos-Thailand_Railway_2017.rar |
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