HiWATER: Simultaneous observation dataset of land surface temperature in the upstream of the Heihe River Basin on Aug. 1, 2012


The aim of the simultaneous observation of river surface temperature is obtaining the land surface temperature in different places be of different kinds of underlying surface, while the sensor of WiDAS go into the experimental areas of the upstream of Heihe river basin. All the land surface temperature data will be used for validation of the retrieved land surface temperature from WiDAS sensor and the analysis of the scale effect of the land surface temperature, and finally serve for the validation of the authenticity of the surface temperature product from remote sensing.

1. Observation sites and other details

Six places be of different kinds of underlying surface were chosen to observe surface temperature simultaneous in the upstream of Heihe river basin on 1 August. Self-recording point thermometers (observed once every 6 seconds) were used one place while handheld infrared thermometers (observed continuously during the sensor of WiDAS go into the region) were used in other five places. The main underlying surface including natural grassland, river section, river rapids, gravel.

2. Instrument parameters and calibration.

The field of view of the self-recording point thermometer and the handheld infrared thermometer are 10 and 1 degree, respectively. The emissivity of the latter was assumed to be 0.95. All instruments were calibrated on 5 August, 2012 using black body during observation.

3. Data storage

All the observation data were stored in excel.


Required Data Citation View Data Cite Help About Data Citation
Cite as:

HiWATER: Simultaneous observation dataset of land surface temperature in the upstream of the Heihe River Basin on Aug. 1, 2012. A Big Earth Data Platform for Three Poles, 2013. doi: 10.3972/hiwater.033.2013.db. (Download the reference: RIS | Bibtex )

Related Literatures:

1. Che, T., Li, X., Liu, S., Li, H., Xu, Z., Tan, J., Zhang, Y., Ren, Z., Xiao, L., Deng, J., Jin, R., Ma, M., Wang, J., & Yang, X. (2019). Integrated hydrometeorological, snow and frozen-ground observations in the alpine region of the Heihe River Basin, China. Earth System Science Data, 11, 1483-1499( View Details | Download | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.


References literature

1.Li, X., Cheng, G.D., Liu, S.M., Xiao, Q., Ma, M.G., Jin, R., Che, T., Liu, Q.H., Wang, W.Z., Qi, Y., Wen, J.G., Li, H.Y., Zhu, G.F., Guo, J.W., Ran, Y.H., Wang, S.G., Zhu, Z.L., Zhou, J., Hu, X.L., & Xu, Z.W. (2013). Heihe watershed allied telemetry experimental research (hiwater): scientific objectives and experimental design. Bulletin of the American Meteorological Society, 94(8), 1145-1160. doi:10.1175/BAMS-D-12-00154.1. (View Details )

2.Li, X., Liu, S.M., Ma, M.G., Xiao, Q., Liu, Q.H., & Jin, R., et al. (2012). (2012). Hiwater:an integrated remote sensing experiment on hydrological and ecological processes in the heihe river basin. Advances in Earth Science, 27(5), 481-498. (View Details | Download )

3.Liu Q, Yan CY, Xiao Q, Yan GJ, Fang L. Separating vegetation and soil temperature using airborne multiangular remote sensing image data. International Journal of Applied Earth Observation and Geoinformation, 2012, 17: 66-75, doi:10.1016/j.jag.2011.10.003. (View Details )


Support Program

Heihe Watershed Allied Telemetry Experimental Research (HiWATER) (No:91125004)

User Limit

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.


License: This work is licensed under an Attribution 4.0 International (CC BY 4.0)


Related Resources
Comment

Sign In to add comments

Download Follow
Keywords
Geographic coverage
East: 100.80 West: 99.32
South: 37.96 North: 38.65
Detail
  • File size: 0.0 MB
  • Browse count: 8,181 Times
  • Apply count: 0 Times
  • Share mode: offline
  • Temporal coverage: 2018-11-13 To 2018-11-13
  • Updated time: 2019-08-08
Contact Information
: GENG Liying   王庆峰   CAO Bin   万旭东   彭莉  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

Export metadata