干旱区生态环境知识资源中心(Arid): 基于无人机可见光图像的荒漠草地覆盖度估算

Arid

	基于无人机可见光图像的荒漠草地覆盖度估算
其他题名	Estimation of vegetation coverage of desert grassland based on images from an unmanned aerial vehicle
	于惠; 吴玉锋; 牛莉婷
来源期刊	草业科学
ISSN	1001-0629
出版年	2021
卷号	38 期号:8 页码:1432-1438
中文摘要	及时准确监测草地植被覆盖度,对草地资源的可持续利用及生态系统的恢复与重建具有重要意义。本研究以荒漠草地植被为研究对象,采用监督分类与植被指数直方图相结合的阈值法,分析了6种RGB植被指数对荒漠草地的识别效果。研究结果表明:归一化绿红差异指数(normalized green-red difference index, NGRDI)对草地覆盖度的提取精度最高,其平均绝对误差和均方根误差分别为2.56%和3.06%。监督分类与可见光植被指数统计直方图相结合的阈值法对荒漠草地植被覆盖度的提取效果较好,可以用于荒漠草地植被覆盖度的提取。
英文摘要	Effective and accurate monitoring of grassland vegetation coverage is important for sustainable utilization of grassland resources and for restoration and reconstruction of ecosystems. In this study, a threshold method combining the supervised classification with the statistical histogram of visible vegetation index was used to identify grassland vegetation. The vegetation extraction accuracies of 6 Red Green Blue (RGB) vegetation indices were evaluated. The results indicated that the Normalized Difference Green/Red Index was the most accurate index for vegetation coverage extraction (mean absolute error 2.56%, root mean square error 3.06%). The proposed method accurately estimates the vegetation coverage of desert grassland.
中文关键词	RGB植被指数 ; 荒漠草地 ; 无人机 ; 阈值法 ; 监督分类
英文关键词	RGB vegetation indices desert grassland UAV threshold method supervision classification
类型	Article
语种	中文
收录类别	CSCD
WOS类目	Agriculture
CSCD记录号	CSCD:7051530
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/377513
作者单位	于惠, 甘肃省水土保持科学研究所, 兰州, 甘肃 730020, 中国.; 吴玉锋, 甘肃省水土保持科学研究所, 兰州, 甘肃 730020, 中国.; 牛莉婷, 甘肃省水土保持科学研究所, 兰州, 甘肃 730020, 中国.
推荐引用方式 GB/T 7714	于惠,吴玉锋,牛莉婷. 基于无人机可见光图像的荒漠草地覆盖度估算[J],2021,38(8):1432-1438.
APA	于惠,吴玉锋,&牛莉婷.(2021).基于无人机可见光图像的荒漠草地覆盖度估算.草业科学,38(8),1432-1438.
MLA	于惠,et al."基于无人机可见光图像的荒漠草地覆盖度估算".草业科学 38.8(2021):1432-1438.