WATER: Dataset of 3D scanning of forest structure using the ground-based LiDAR at the super site around the Dayekou Guantan forest station- A Big Earth Data Platform for Three Poles

This data set is the acquisition of the super-site forest 3D structure of the scanning point cloud data and other ancillary data based on the ground-based lidar (LiDAR) . Data acquisition time is from June 4, 2008 to June 12, 2008. Riegl LMS-Z360i ground-based LiDAR was used. The super site is divided into 16 sub-samples of 25m×25m, LiDAR base station points are set in each sub-sample, and LiDAR acquisition 3D full coverage LiDAR point metadata is set at each base station point.

The content of the data set: total station measurement coordinates (x, y, z) for each LiDAR data acquisition base station point, the instrument attitude measured by a digital slope meter and an angle meter when each station collects data, and the laser radar scanning point cloud data at each station. This data set can provide realistic 3D forest scenes, provide detailed ground observation data for the development and correction of various 3D forest remote sensing models, and provide ground verification data for airborne and spaceborne remote sensing data.

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Guo, Z., Zhang, Z. (2012). WATER: Dataset of 3D scanning of forest structure using the ground-based LiDAR at the super site around the Dayekou Guantan forest station. A Big Earth Data Platform for Three Poles, DOI: 10.3972/water973.0044.db. CSTR: 18406.11.water973.0044.db. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Qingwang Liu. Study on the Estimation Method of Forest Parameters Using Airborne LIDAR. Beijing: Chinese Academy of Forestry, 2009.( View Details | Download | Bibtex)

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References literature

1.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 )

2.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 )

3.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 )

4.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 )

5.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 )

6.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 )

7.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 )

8.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 )

9.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 )

10.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 )

11.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 )

12.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 )

13.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)

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