HiWATER: ASTER LST and LSE dataset in the middle reaches of the Heihe River Basin (2012)- A Big Earth Data Platform for Three Poles

This data set contains the surface temperature and surface emissivity products retrieved from 12 ASTER data in the middle reaches of Heihe River Basin in 2012. The 12 scenes ASTER data all cover the ecological and hydrological experimental area of the middle reaches artificial oasis. The acquisition time (Beijing time) is: 2012-05-302012-06-152012-06-242012-07-102012-08-02, 2012-08-112012-08-182012-08-272012-09-03, 2012-09-122012-09-192012-09-28. The transit time of the above data is around 12:15 (Beijing time).

Firstly, the L1B data is corrected by aster L3 data, and then the L1B data is corrected by MODIS mod07 atmospheric profile product with the same transit time and the atmospheric radiation transfer model MODTRAN. In order to improve the accuracy of atmospheric correction, the water vapor scaling (WVS) atmospheric correction method is used. Finally, the aster temperature emissivity separation (TES) algorithm is used to retrieve the surface temperature and the surface emissivity of five bands. The results show that the average deviation of surface temperature products is less than 0.5K and RMSE is less than 2K. This data set can provide reliable input data for remote sensing estimation of key water and heat variables of heterogeneous surface.

Data Citations Data citation guideline What's data citation?

Cite as:

Li, H., Wang, H. (2017). HiWATER: ASTER LST and LSE dataset in the middle reaches of the Heihe River Basin (2012). A Big Earth Data Platform for Three Poles, DOI: 10.3972/hiwater.220.2015.db. CSTR: 18406.11.hiwater.220.2015.db. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Li, H., Sun, D.L., Yu, Y.Y., Wang, H.Y., Liu, Y.L., Liu, Q.H., Du, Y.M., Wang, H.S., & Cao, B. (2014). Evaluation of the VIIRS and MODIS LST products in an arid area of Northwest China. Remote Sensing of Environment, 142, 111-121. doi:10.1016/j.rse.2013.11.014.( View Details | Bibtex)

2. 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 | Bibtex)

3. Li, H., Wang, H.S., Yang, Y.K., Du, Y.M., Cao, B., Bian, Z.J., & Liu, Q.H. (2019). Evaluation of atmospheric correction methods for the ASTER temperature and emissivity separation algorithm using ground observation networks in the HiWATER experiment. IEEE Transactions on Geoscience and Remote Sensing, 57(5), 3001-3014. doi:10.1109/tgrs.2018.2879316.( View Details | 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 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 )

Support Program

Heihe Watershed Allied Telemetry Experimental Research (HiWATER) (No:91125003)

National Natural Science Foundation of China (No:41101325)

National High-tech R&D Program of China (863 Program) (No:2012AA12A304)

Copyright & License

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)