WATER: Envisat ASAR dataset- A Big Earth Data Platform for Three Poles

In 2007, 2008 and 2009, ENVISAT ASAR data 179 scenes, covering the whole Heihe River Basin. Among them, there were 63 in 2007, 71 in 2008 and 45 in 2009. Imaging mode and acquisition time are respectively: app can select polarization mode from August 15, 2007 to December 23, 2007, from January 02, 2008 to December 202009-02-15, 2008 to September 06, 2009; imp imaging mode from June 19, 2009 to July 12, 2009; WSM wide mode from January 1, 2007 to December 302008-01-01, 2007 to November 28, 2008, from March 13, 2009 to May 22, 2009.

The product level is L1B, which is amplitude data without geometric correction.

The ENVISAT ASAR remote sensing data set of Heihe comprehensive remote sensing joint experiment is mainly obtained through the China EU "dragon plan" project (Project No.: 5322 and 5344); the WSM wide model data in 2007 and January 2008 are obtained from Professor Bob Su of ITC; the 8-view app can be purchased from the earth observation and digital earth center of Chinese Academy of Sciences.

Data Citations Data citation guideline What's data citation?

Cite as:

Institute of Remote Sensing and Digital earth, Chinese Academy of Sciences. (2010). WATER: Envisat ASAR dataset. A Big Earth Data Platform for Three Poles, (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.

References literature

1.Wang SG, Li X, Han XJ, Jin R. Estimation of surface soil moisture and roughness from multi-angular ASAR imagery in the Watershed Allied Telemetry Experimental Research (WATER). Hydrology and Earth System Sciences, 2011, 15(5): 1415-1426. doi:10.5194/hess-15-1415-2011. (View Details | Download )

2.Ma, M.G. (2011). Quality control and evaluation for the ground observation data of the watershed allied telemetry experimental research. Remote Sensing Technology and Application, 25(6), 766-771. (View Details )

3.Wu Lizong, Qu Yonghua, Wang Liangxu, Sun Qingsong, Hu Xiaoli, Li Xin, Wang Jindi, Li Hongxing, et al. Data Management and Its Sharing Application of Watershed Allied Telemetry Experimental Research. Remote Sensing Technology and Application, 2010, 25(6): 772-781. (View Details )

4.Ma, J., Song, X., Li, X., Leng, P., Li, S., Zhou, F., 2013. Estimation of surface soil moisture from ASAR dual-polarized data in the middle stream of the Heihe River Basin. Wuhan Univ. J. Nat. Sci. 18, 163–170. (View Details )

5.Wang Liangxu, Wang Shuguo, Ran Youhua. (2014), Data Sharing and Data Set Application of Watershed Allied Telemetry Experimental Research. IEEE Geoscience and Remote Sensing Letters, 11(11), 2020-2024. doi:10.1109/LGRS.2014.2319301 (View Details )

6.Li Xin, Li Xiaowen, LiZengyuan.et al.Progresses on the Watershed Allied Telemetry Experimental Research(WATER)[J].Remote Sensing Technology and Application,2012,27(5):637-649. (View Details )

7.Ma Mingguo, Liu Qiang, Pei Guangjian, Chen Erxue, Xiao Qing, Su Peixi, Hu Zeyong, Li Xin, Niu Wei, Wang Weizhen, Qian Jinbo, Song Yi, Ding Songshuang, Xin Xiaozhou, Ren Huazhong, Huang Chunlin, Jin Rui, Che Tao, Chu Rongzhong. Simultaneous Remote Sensing and (Ground-based Experiment in the Heihe River Basin:Experiment of Forest Hydrology and Arid Region Hydrology in the Middle Reaches. Advances in Earth Science, 2009, 24(7): 681-695. (View Details )

8.Liu Q, Wang MY, Zhao YS. Assimilation of ASAR data with a hydrologic and semi-empirical backscattering coupled model to estimate soil moisture. Chinese Geographical Science, 2010, 20(3): 218-225. (View Details | Download )

9.Li, X., Ma, M.G., Wang, J., Liu, Q., Che, T.,Hu, Z.Y., et al. (2008). Simultaneous remote sensing and ground-based experiment in the heihe river basin: scientific objectives and experiment design. Advances in Earth Science, 23(9), 897-914. (View Details )

10.LiXin,Lin Qiang. Liu Qinhuo,et al. The Progresses on the Watershed Allied Telemetry Experimental Research (WATER):Remote Sensing of Key Hydrological and Ecological Parameters［J].Remote Sensing Technology and Application,2012.27（5)650-662. (View Details )

11.Li, X., Li, X.W., Roth K, Menenti M, Wagner W. (2011). Preface 'Observing and modeling the catchment scale water cycle'. Hydrology and Earth System Sciences, 15(2), 597-601. doi:10.5194/hess-15-597-2011. (View Details )

12.Yu F, Zhao YS.A new semi-empirical model for soil moisture content retrieval by ASAR and TM data in vegetation-covered areas. Science China Earth Sciences, 2011, 54(12): 1955-1964, doi: 10.1007/s11430-011-4204-3. (View Details )

13.Ma, M.G., Liu, Q., Y, G.J., Chen, E.X., Xiao, Q.,Su, P.X.,Hu, Z.Y., Li, X., et al. (2009). The cold regions hydrological remote sensing and ground-based synchronous observation experiment in the upper reaches of heihe river. Journal of Glaciology & Geocryology, 31(2), 189-197. (View Details )

14.Huang, G.H., Ma, M.G., Tan, J.L., Zhang, Z.H. (2010). Data quality control and products of automatic weather stations for watershed allied telemetry experimental research. Remote Sensing Technology and Application, 25(6), 814-820. (View Details )

15.Li, X., Li, X.W., Li, Z.Y. (2010). Watershed allied telemetry experimental research (water) datasets are available for open access. Remote Sensing Technology and Application, 25(6), 761-765. (View Details )

16.Sun, Q.S., Qu, Y.H., Wang, J.D., Dong, J. (2010). The implementation of the opendap based remote sensing data distribution system. Remote Sensing Technology and Application, 25(6), 782-787. (View Details )

17.Li, X., Li, X.W., Li, Z.Y., Ma, M.G., Wang, J., Xiao, Q., Liu, Q., Che, T., Chen, E.X., Yan, G.J., Hu, Z.Y., Zhang, L.X., Chu, R.Z., Su, P.X., Liu, Q.H., Liu, S.M., Wang, J.D., Niu, Z., Chen, Y., Jin, R., Wang, W.Z., Ran, Y.H., Xin, X.Z., Ren, H.Z. (2009). Watershed Allied Telemetry Experimental Research. Journal of Geophysical Research, 114(D22103), doi:10.1029/2008JD011590. (View Details )

Support Program

National Program on Key Basic Research Project (973 Program (No:2007CB714400)

The CAS (Chinese Academy of Sciences) Action Plan for West Development Project (No:KZCX2-XB2-09)

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)