%0 Dataset
%T Heihe River Integrated Remote Sensing joint experiment: thermal infrared specific emissivity observation data set in ARW intensive observation area (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/8f7ec2cb-7c4d-49e6-8ea3-9a197c720637
%W NCDC
%R 10.12072/ncdc.NIEER.db1919.2022
%A Jin rui
%K Portable specific emissivity meter;specific emissivity;thermal imager;surface radiation temperature;handheld infrared thermometer;airborne ground remote sensing
%X On March 14, 2008, the thermal infrared specific emissivity observation test was carried out in arrou sample 3. The measuring instrument is a portable specific emissivity meter (Patent No.: ZL 02 2 37640.2). During measurement, the quadrat is covered with 100% dry forage, and the height is less than 5cm. Since the grassland is relatively homogeneous, only the center point of each grid in arrou quadrat 3 is measured. The naming rule of each observation point is in the form of a3-9, which is expressed as the No. 9 sampling point of a rou quadrat 3. Each center point is randomly measured twice. The horizontal surface shall be selected as far as possible to ensure that the measurement angle is 45 degrees; And in strict accordance with the following requirements:（ 1) Add mirror without cover (tsky);（ 2) Mirror capping (Tcha);（ 3) No mirror, no cover (TSM)（ 4) Complete one measurement without mirror capping (TCM). To reduce the error, read 4 numbers for each observation. At the same time, the surface thermal infrared temperature (hand-held infrared thermometer) and hand-held thermal imager (FLIR thermacam) were measured simultaneously for 4 times at each central point. The calculation formula of specific emissivity is: specific emissivity = 1 - (TCM ^ 4 – TSM ^ 4) / (Tcha ^ 4 – tsky ^ 4). This data can provide basic data for remote sensing inversion algorithm of surface temperature and surface radiation energy balance.