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Meteorological Observation Dataset from HL_RS_TS

Bai Junhua1,2Xiao Qing1Liu Qinhuo1Xu Ziwei2LIU Shaomin2
1 State Key Laboratory of Remote Sensing Science,Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100101,China2 Beijing Normal University,Beijing 100088,China


Published:Dec. 2020

Visitors:5413       Data Files Downloaded:67      
Data Downloaded:7313.28 MB      Citations:

Key Words:

Weather-observation,Radiation,Meteorology,Soil,Remote Sensing Technology and Application


Huailai Remote Sensing Test Site (HL_RS_TS), located on the border of Beijing city and Zhangjiakou, Hebei Province at 115�47ʹ32.4ʹʹ E, 40�21ʹ26.8ʹʹ N. The meteorological observation dataset from HL_RS_TS is the data collection from January 1 to Novembers 5, 2014, and January 1, 2015, to December 31, The dataset consists of the following data: (1) wind speed, atmospheric temperature, and humidity(3 m, 5 m, 10 m, 15 m, 20 m, 30 m, 40 m above ground),wind direction(10 m above ground)、rainfall(3m above ground);(2)Soil temperature, soil humidity(2 cm、4 cm、10 cm、20 cm、40 cm、80 cm、120 cm 、160cm underground)soil heat flow data(6 cm underground);(3)four-component radiation data(4 m above ground)、photosynthetically active radiation data(4m above ground), surface radiation temperature (SST) data(3.5 m, 8 m above ground). The dataset is archived in .xlsx data format and composed of 6 data files with data size of 110 MB (compressed to one single file with 109 MB).

Foundation Item:

Chinese Academy of Sciences (2018); State key laboratory of Remote Sensing Science and Chinese Academy of Sciences (2014-2018)

Data Citation:

Bai Junhua, Xiao Qing, Liu Qinhuo, Xu Ziwei, LIU Shaomin. Meteorological Observation Dataset from HL_RS_TS[J/DB/OL]. Digital Journal of Global Change Data Repository, 2020.


Bai Junhua, Xiao Qing, Liu Qinghuo, Wen Jianguang. The Research of Constructing the Target Ranges to Validate Remote Sensing Product. Remote Sensing Technology and Application, 2015, 30(3):573-578.

Data Product:

ID Data Name Data Size Operation
1 HL_RS_TS_2014-2018.rar 111773.08KB