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HiWATER: Vegetation height product in the middle reaches of the Heihe River Basin (19 July, 2012) Chinese Version


In July 19, 2012 (UTC+8), the airborne LIDAR data is acquired in the foci area in the Heihe,middle reaches, which can provide high spatial resolution (m) and high precision (20 cm) of the surface elevation information. Based on airborne LIDAR data processing, the land surface DEM, DSM and point cloud density map were generated. By subtracting DSM and DEM directly, a Vegetation height product in the middle reaches of the Heihe River Basin was obtained. The product overall accuracy is 88%.


CitationHelp

Paper Cite Li X, Liu SM, Xiao Q, Ma MG, Jin R, Che T, Wang WZ, Hu XL, Xu ZW, Wen JG, Wang LX. A multiscale dataset for understanding complex eco-hydrological processes in a heterogeneous oasis system. Scientific Data, 2017, 4: 170083. doi:10.1038/sdata.2017.83.

Dataset Cite Xiao Qing,Wen Jianguang. HiWATER: Vegetation height product in the middle reaches of the Heihe River Basin (19 July, 2012). Heihe Plan Science Data Center, 2014. doi:10.3972/hiwater.172.2014.db (Download: RIS | Bibtex)


Related Publications (Recommended by Author)

  1. Wang HS, Xiao Q, Li H, Zhong B. Temperature and emissivity separation algorithm for TASI airborne thermal hyperspectral data. Electronics, Communications and Control (ICECC), 2011 International Conference on. IEEE, 2011: 1075-1078.Detail Download

General introduction of HiWATER

  1. 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.Detail | Download

Limitations

The dataset is generated from the "Heihe Watershed Allied Telemetry Experimental Research (HiWATER)". User must have a clear statement in the article of the original data source and cite the dataset and papers in the Citation section.

Fund

  • National Natural Science Foundation of China (No. 91125003)

Online Resources