2012年7月19日,在黑河中上游的核心观测区域,利用运12飞机,搭载Leica公司ALS70,开展了lidar航空遥感飞行试验。ALS70激光波长为1064纳米,多次回波(1,2,3和末次)。中游地区飞行相对高度1500米(海拔高度2700米),平均点云密度4点/平方米。通过参数检校、点云自动分类和人工编辑等步骤,最终形成DEM和DSM数据产品。
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-DSM data production in the middle reaches of the Heihe River Basin</b>2017. doi: 10.3972/hiwater.149.2013.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 )
本数据由“黑河生态水文遥感试验(HiWATER)”产生,用户在使用数据时请在正文中明确声明数据的来源,并在参考文献部分引用本元数据提供的引用方式。
Heihe Watershed Allied Telemetry Experimental Research (HiWATER)
1.The leaf water potential dataset in the downstream of the Heihe River Basin (2012)
2.HiWATER: the albedo in the middle reaches of the Heihe River Basin (Jun. 29, 2012)
3.HiWATER: Dataset of infrared temperature in Zhanye Airport desert
6.HiWATER: Airborne CCD image data in Hulugou Catchment
10.HiWATER: Airborne CCD image data in the Shenshawo desert area of the Heihe River Basin
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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-DSM data production in the middle reaches of the Heihe River Basin</b>2017. doi: 10.3972/hiwater.149.2013.db.