TY  - Data
T1  - Heihe River Integrated Remote Sensing joint experiment: surface roughness observation data set of super sample plot of Dayekou guantan forest station (2008)
A1  - Tan Junlei
A1  - Bai Yunjie
A1  - Chetao
A1  - Qu Yonghua
A1  - ZHou Hongmin
DO  - 10.12072/ncdc.NIEER.db1901.2022
PY  - 2022
DA  - 2022-03-15
PB  - National Cryosphere Desert Data Center
AB  - This data comes from the super sample plot of guantan forest station in Dayekou basin. The tree vegetation of the super sample plot is pure Qinghai Spruce Forest, and the sample plot size is 100m × 100m。  Using the roughness measurement board and digital camera made by the Institute of cold and drought of Chinese Academy of Sciences, 41 grid points are selected in the whole super sample plot, including 25 corner points and 16 center points (representing the sub sample square of 16 super samples). Each position is observed twice and photographed. Each sampling point is measured once in north-south direction and east-west direction respectively. The roughness plate is 110cm long and the distance between measurement points is 1cm. This data can provide a basic ground data set for the development and verification of microwave remote sensing algorithms. B include the original photos and the calculation results of the standard deviation of surface height (CM) and surface correlation length (CM). Photo processing is to manually digitize the top of each spoke and the four corners of the board in the photo under ArcView software to obtain its image coordinate value. After geometric correction, calculate the height of each spoke, and then calculate the surface height standard deviation and surface correlation length according to the formula. The calculation formula is shown in pages 234-236, Volume II, microwave remote sensing. In the roughness data, the first is the sample name, and then the data body includes 4 columns (number, file name, standard deviation and correlation length). Each file name, i.e. TXT file, corresponds to a sampling photo, and the standard deviation (CM) and correlation length (CM) represent the roughness. This is followed by the length of 101 spokes in each photo, which belongs to the intermediate result to check and correct
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/5deb0203-a663-4807-93b8-b4247cacc99c
ER  -