Digital Heihe

WATER: Dataset of the total station measurements at the super site around the Dayekou Guantan forest station

The data set is based on the geodetic coordinate data and other auxiliary data of the corner points of 16 subsamples of super sample plots, the setting points of lidar base station of the foundation and the base points of each tree trunk measured by the total station.

The data acquisition time of total station is from June 3, 2008 to June 12, 2008, which is divided into two groups. One total station is used respectively, with the models of topcon602 and topcon7002. A total of 1468 Picea crassifolia trees in the super sample plot were measured, and all the corner points of the sub sample plot and the top points of the stake set on the base station of lidar were located. These positioning results are the main data content of the dataset. In addition, on June 3, 2008, June 4, 2008, June 6, 2011, the differential GPS z-max was used to locate all the stake vertices. By manually measuring the height of each stake, the height of the surface under the stake was calculated, and finally the three-dimensional coordinate position of the surface of each tree and the topographic map of super sample plot were generated. These data constitute the secondary data of the dataset.

This data set can provide detailed ground observation data for the establishment of real three-dimensional forest scene, the development and correction of various three-dimensional forest remote sensing models, and ground validation data for the extraction of airborne lidar forest parameters.

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Related Literatures:

1. Qingwang Liu, Zengyuan Li, Erxue Chen, Yong Pang, Xin Tian, Chunxiang Cao. Estimationg Biomass of Individual Trees Using Point Cloud Data of Airborn LIDAR. High Technology Letters. 2010, 20(7): 765–770.(View Details)

2. Bao YF, Cao CX, Zhang H, Chen EX, He QS, Huang HB, Ll ZY, Ll XW, Gong P. Synchronous estimation of DTM and fractional vegetation cover in forested area from airborne LIDAR height and intensity data. Science in China Series E-technological Sciences, 2008, 52(Suppl. 2): 176-187. 10.1007/s11431-008-6018-x.(View Details |Download )

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

4. Liu Q W, Li Z Y, Chen E X, et al. Feature Analysis of LIDAR Waveforms from Forest Canopies. Sci China Earth Sci. 2011, 41(11): 1670-1678.(View Details)

5. Liu QW, Li ZY, Chen EX, Pang Y, Li SM, Tian X. Feature analysis of LIDAR waveforms from forest canopies. Science China-earth Sciences, 2011, 54(8): 1206-1214. 10.1007/s11430-011-4212-3.(View Details |Download )

Cite as:

Zhang, H., Liu, Q. (2012). < b>WATER: Dataset of the total station measurements at the super site around the Dayekou Guantan forest station</b>2012. doi: 10.3972/water973.0055.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.

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 T, Gong J H, Zhang L H, Yue Y J. Estimating Parameters of Trees in Forest Using Point Cloud Data of Airborne LIDAR. Science of Surveying and Mapping. 2010, 35(6): 47–49. (View Details )

4.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 )

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13.Zhang Yang, Liu Qinhuo, Huang Huaguo, Liu Qiang. Sensitivity Analysis of Large Scale Radiosity-Graphics Model and the Application on the Forest of Qilian Mountain. Advances in Earth Science, 2009, 24(7): 834-842. (View Details )

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