Livestock Sampling Survey Dataset in Prairie Chenbarhu Banner, Hulunbuir Based on UAV Images (July 2023)
WANG Dongliang1LI Yuzhe1ZHANG Aochong1
1 Key Laboratory of Land Surface Pattern and Simulation，Institute of Geographic Sciences and Natural Resources Research，Chinese Academy of Sciences，Beijing 100101，China
DOI:10.3974/geodb.2023.12.02.V1
Published:Dec. 2023
Visitors：4294 Data Files Downloaded：28
Data Downloaded：117.77 MB Citations：
Key Words：
sampling survey,UAV imagery,livestock,visual interpretation
Abstract：
In July 2023, a sampling survey was conducted in Prairie Chenbarhu Banner, Hulunbuir City, utilizing UAV for aerial photography. Based on the method of human-machine interaction and visual interpretation, the stitched aerial strips were interpreted to obtain livestock location data in the study area. The livestock population in the entire Chen Barag Banner was estimated using two different methods. The dataset includes: (1) boundary data of the study area; (2) boundaries of the sample strips surveyed by UAV in 2023; (3) location of livestock surveyed in 2023; (4) estimated livestock population size. The dataset is archived in .shp and .tif formats, and consists of 49 data files with data size of 12.5 MB (Compressed into one file with 4.19 MB).Browse
Foundation Item：
Chinese Academy of Sciences (XDA23100200); Ministry of Science and Technology of P. R. China (2017YFC0506505, 2017YFB0503005)
Data Citation：
WANG Dongliang, LI Yuzhe, ZHANG Aochong. Livestock Sampling Survey Dataset in Prairie Chenbarhu Banner, Hulunbuir Based on UAV Images (July 2023)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2023. https://doi.org/10.3974/geodb.2023.12.02.V1.
WANG Dongliang, CHEN Wenbo, ZHANG Aochong. Livestock sampling survey dataset development of Prairie Chenbarhu banner in Hulunbuir city based on UAV images [J]. Journal of Global Change Data & Discovery, 2023, 7(3): 327-333.
References：
[1] Thornton, P. K. Livestock production: recent trends, future prospects [J]. Philosophical Transactions of the Royal Society B: Biological Sciences, 2010, 365(1554): 2853-2867.
[2] Harris, P., Brunsdon, C., Charlton, M. Geographically weighted principal components analysis [J]. International Journal of Geographical Information Science, 2011, 25: 1717-1736.
[3] Shao, Q. Q., Guo, X. J., Li, Y. Z., et al. Using UAV remote sensing to analyze the population and distribution of large wild herbivores [J]. Journal of Remote Sensing, 2018, 22(3): 497-507. DOI:10.11834/jrs.20187267.
[4] Liu, S. L., Zhao, H. D., Dong, S. K., et al. Dynamic of vegetation in the Altun mountain nature reserve based on SPOT NDVI [J]. Arid Zone Research, 2014, 31(5): 832-837.
[5] Cao, N., Xi, R. N., He, L. N., et al. The Application Prospects and Challenges of UAV in Livestock Farming [J]. Today Animal Husbandry and Veterinary Medicine, 2023, 39(7): 53-55.
[6] Zhou, Z. W. Monitoring of marine macro-plastic litter in the coastal zone based on UAV remote sensing and computer interpretation [D]. Shanghai: East China Normal University, 2022. DOI: 10.27149/d.cnki.ghdsu.2022.001948.
[7] Nie, H. G., Yue, L. P., Yang, W., et al. Present situation, evolution trend and causes of Sandy desertification in Hulunbuir steppe [J]. Journal of Desert Research, 2005, 25(5): 635-639.
Data Product:
| ID |
Data Name |
Data Size |
Operation |
| 0 | Datapaper_UAV_Livestock_Chenbarhu.pdf | 1444.00kb | DownLoad |
| 1 |
UAV_Livestock_Chenbarhu.rar |
4307.12KB |
|