参考文献：
[1] 李博. 中国北方草地退化及其防治对策[J]. 中国农业科学, 1997, 30(6): 2-10.
[2] 唐根杰, 包庆德. 游牧文明：生存发展智慧及其生态维度研究[J]. 黑龙江民族丛刊, 2023(1): 137-143.
[3] 沈海花, 朱言坤, 赵霞等. 中国草地资源的现状分析[J]. 科学通报, 2016, 61(2): 139-154.
[4] Wang, D., Xin, X., Shao, Q., et al. Modeling aboveground biomass in Hulunber grassland ecosystem by using unmanned aerial vehicle discrete lidar [J]. Sensors, 2017, 17(1): 180.
[5] 王东亮, 廖小罕, 张扬建等. 基于无人机视频流的草原放牧家畜在线检测和体重估算[J]. 生态学杂志, 2021, 40(12): 4099-4108.
[6] Wang, D., Song, Q., Liao, X., et al. Integrating satellite and unmanned aircraft system (UAS) imagery to model livestock population dynamics in the Longbao wetland national nature reserve, China [J]. Science of the Total Environment, 2020, 746: 140327.
[7] 王旭, 左小清. 基于odm和cesium的无人机倾斜摄影建模及可视化[J]. 软件, 2020, 41(4): 124-129.
[8] 汪小钦, 王苗苗, 王绍强 等. 基于可见光波段无人机遥感的植被信息提取[J]. 农业工程学报, 2015, 31(5): 152-158.
[9] Du, M. M., Noboru, N., Atsushi, I., et al. Multi-temporal monitoring of wheat growth by using images from satellite and unmanned aerial vehicle [J]. International Journal of Agricultural and Biological Engineering, 2017, 10(5): 1-13.
[10] 周婕, 张珂, 杜涛. 基于卫星遥感的水库库区植被覆盖变化研究：以三河口水库为例[J]. 水利水电技术(中英文), 2023, 1(1): 1-12.
[11] Wang, Y., Ma, L., Wang, Q., et al. A lightweight and high-accuracy deep learning method for grassland grazing livestock detection using UAV imagery [J]. Remote Sensing, 2023, 15(6): 1593.