This dataset includes the emissivity spectrum (8-14 µm) of typical ground objects in Zhangye City, Zhangye airport, desert and farmland at Wuxing experiment area. The data was measured by the BOMEM MR304 FTIR (Fourier Transform Infrared Spectrometer).
A. Objective
The objective of the thermal infrared (TIR) spectrum measurement lies in: Radiometric calibration for the airborne TIR sensor, land surface emissivity products validation and collecting typical surface spectrum working as priori knowledge in land surface temperature inversion and ecological and hydrological models.
B. Instruments and theory
Instruments: BOMEM MR304 FTIR, Mikron M340 blackbody, BODACH BDB blackbody, diffused golden plate, Fluke 50-series II thermometer
Measurement theory: The target radiance is directly measured by the MR304 FTIR under clear-sky condition while the atmospheric downward radiance is obtained through a diffused golden plate, and emissivity is retrieved by the Iterative Spectrally Smooth Temperature and Emissivity Separation (ISSTES) algorithm
C. Experiment site and targets
29-5-2012: Stone bricks, grassland and asphalt, etc at square of Zhangye.
20-6-2012: Roof of the building in Zhangye, water and sand sample collected from the desert, etc.
30-6-2012: Cement road at Zhangye airport, desert around the Zhangye airport.
3-7-2012: Corn leaves, soil and road in the farmland at Wuxing village, Zhangye City.
4-7-2012: Corn leaves, wheat canopy at Xiaoman town, Zhangye City.
10-7-2012: Bricks of Runquanhu park, Zhangye City.
13-7-2012: Corn leaves and other plants at Wuxing village, Zhangye City.
D. Data processing
The original data collected by BOMEM FTIR is firstly calibrated using the calibration data and get the radiance spectrum of the targets and sky (*.rad), then, the radiance data is converted to the easy readably text file (ASCII format). The time used in this dataset is in UTC+8 Time.
1. Li, X., Liu, S.M., Xiao, Q., Ma, M.G., Jin, R., Che, T., Wang, W.Z., Hu, X.L., Xu, Z.W., Wen, J.G., Wang, L.X. (2017). A multiscale dataset for understanding complex eco-hydrological processes in a heterogeneous oasis system. Scientific Data, 4, 170083. doi:10.1038/sdata.2017.83.(View Details |Download )
Cite as:Ma, M., Xiao, Q. (2017). < b>HiWATER: Dataset of thermal infrared spectrum observed by BOMEM MR304 in the middle reaches of the Heihe River Basin</b>2017. doi: 10.3972/hiwater.041.2013.db. (Download the reference: RIS | Bibtex )
Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.
1.Li Xin, Liu Shaomin, Ma Mingguo, Xiao Qing, Liu Qinhuo, Jin Rui, Che Tao. HiWATER: An Integrated Remote Sensing Experiment on Hydrological and Ecological Processes in the Heihe River Basin. Advances in Earth Science, 2012, 27(5): 481-498. (View Details |Download)
2.Li X, Cheng GD, Liu SM, Xiao Q, Ma MG, Jin R, Che T, Liu QH, Wang WZ, Qi Y, Wen JG, Li HY, Zhu GF, Guo JW, Ran YH, Wang SG, Zhu ZL, Zhou J, Hu XL, Xu ZW. Heihe Watershed Allied Telemetry Experimental Research (HiWATER): Scientific objectives and experimental design. Bulletin of the American Meteorological Society, 2013, 94(8): 1145-1160, 10.1175/BAMS-D-12-00154.1. (View Details )
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Heihe Watershed Allied Telemetry Experimental Research (HiWATER)
Heihe Watershed Allied Telemetry Experimental Research (HiWATER)
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Spatial coverage |
East:100.7 South:38.77 |
West:100.35 North:38.95 |
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Data Service: LIU Qinhuo
Resource Provider: MA Mingguo XIAO Qing
Data has intellectual property rights because it is not only the result of physical labor, but also the achievements of intellectual activities. Data sharing needs to protect the intellectual property rights of Data, so that we can protect the rights and interests of data producers and make data sharing sustainable development. The core intellectual property rights of data include the right of signature, the right of publication and the right of recompilation, among which the right of signature is the most basic right. In academia, the traditional literature citation is the best way to reflect the right of signature. It has been widely recognized by scientists, so the intellectual property rights of data can be embodied through data reference.
1. Li, X., Liu, S.M., Xiao, Q., Ma, M.G., Jin, R., Che, T., Wang, W.Z., Hu, X.L., Xu, Z.W., Wen, J.G., Wang, L.X. (2017). A multiscale dataset for understanding complex eco-hydrological processes in a heterogeneous oasis system. Scientific Data, 4, 170083. doi:10.1038/sdata.2017.83.
Ma, M., Xiao, Q. (2017). < b>HiWATER: Dataset of thermal infrared spectrum observed by BOMEM MR304 in the middle reaches of the Heihe River Basin</b>2017. doi: 10.3972/hiwater.041.2013.db.