On 19 July 2012 (UTC+8), Leica ALS70 airborne laser scanner carried by the Harbin Y-12 aircraft was used in a LiDAR airborne optical remote sensing experiment. The relative flight altitude is 1500 m (the elevation of 2700 m). Leica ALS70 airborne laser scanner has unlimited numbers of returns intensities measurements including the first, second, third return intensities. The wavelength of laser light is 1064 nm with the point cloud density 4 points per square meter. Based on the original Airborne LiDAR-DEM data production were obtained through parameter calibration, automatic classification of point cloud density and manual editing.
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:Xiao, Q., Wen, J. (2017). < b>HiWATER: Airborne LiDAR-DEM data production in the middle reaches of the Heihe River Basin on July. 19, 2012</b>2017. doi: 10.3972/hiwater.010.2013.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)
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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.
Xiao, Q., Wen, J. (2017). < b>HiWATER: Airborne LiDAR-DEM data production in the middle reaches of the Heihe River Basin on July. 19, 2012</b>2017. doi: 10.3972/hiwater.010.2013.db.