%0 Dataset
%T Heihe River Integrated Remote Sensing joint experiment: ground synchronous observation data set of K & Ka band airborne microwave radiometer in intensive observation area of Binggou basin (March 29, 2008)
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/f4ca00ad-fd00-42bb-bf59-4134367f6fb9
%W NCDC
%R 10.12072/ncdc.NIEER.db1851.2022
%A Liang Ji
%A Ma mingguo
%A Bai Yunjie
%A Gai Chunmei
%A Xiaohua Hao 
%A Li Hongyi
%A Shu Lele
%A Wang Xufeng
%K Snow surface temperature;Snow weight moisture content;The snow is deep;Ground synchronous observation;Snow characteristic analyzer;Snow density;Water content of snow volume;Ka band airborne microwave radiometer;K-band airborne microwave radiometer;Snow complex permittivity;Snow grain size
%X The Kak band airborne microwave radiometer aerial remote sensing ground synchronous observation was carried out in the intensive observation area of Binggou basin on March 29, 2008, which provides a basic data set for the inversion of snow microwave radiation characteristics and parameters, especially the study of snow depth and snow water equivalent. Observation contents include: 1) The snow characteristic analyzer observes the variable snow density, snow complex dielectric constant, snow volume water content, snow weight water content, etc. the measurement is carried out in sample plot bg-a. 2) Snow parameter observation, including snow depth (plastic ruler), layered snow depth temperature (average of two measured values of needle thermometer), snow particle size (hand-held microscope), snow density (ring knife method) and synchronous snow surface and snow soil interface temperature during satellite transit (hand-held infrared thermometer). The observation was carried out in four sample plots bg-a, bg-b, bg-ef and bg-i respectively, Bg-a measurement (18 points) and 20 points in the other 3 sample plots. The stratification standard is the snow digging profile, which is evenly layered every 10cm from top to bottom. If the last remaining depth is more than 10cm but less than 15cm, it is divided into one layer. The dataset includes two folders: original data and preprocessed data.