干旱区生态环境知识资源中心(Arid): 基于无人机遥感的高寒草原沙化模型及等级划分

Arid

	基于无人机遥感的高寒草原沙化模型及等级划分
其他题名	Desertification Model and Classification of Alpine Steppe Based on Unmanned Aerial Vehicle (UAV) Remote Sensing
	花蕊; 周睿; 王婷; 许铭; 唐庄生; 花立民
来源期刊	中国沙漠
ISSN	1000-694X
出版年	2019
卷号	39 期号:1 页码:26-33
中文摘要	高寒草原是青藏高原草地生态系统的主要组成,在防风固沙、野生动物保育等方面具有重要作用。近年来,在全球气候变化和人为干扰加剧的背景下,高寒草原沙化加剧,基于时空尺度监测范围及程度是防治高寒草地沙化的前提。以青海三江源区玛多县的高寒草原为研究区,结合大疆精灵3和经纬M100旋翼无人机和地面调查,探讨基于无人机遥测的植被指数在草地沙化调查方面的适宜性,以此为基础制定了高寒草原沙化模型及等级划分标准。结果显示: (1)通过对VDVI(Visible-Band Difference Vegetation Index) 、ENDVI(Enhanced Normalized Difference Vegetation Index)和NGRDI(Normalized Green-Red Difference Index)指数与草地沙化指数GDI(Grassland Desertification Index)的相关分析,选取出高寒草地沙化研究最优植被指数为VDVI(R= 0.9055) ; (2) GDI与VDVI的关系模型为VDVI = 0.3024GDI2-0.0335GDI+0.0119(R~2 = 0.9326) 。模型相对误差为1.779% (RMSE = 0.165,R~2 = 0.7447) ,拟合精度较高; (3)基于无人机遥感植被指数的聚类分析,将研究区高寒草原沙化划分为5个等级,即无明显沙化(VDVI>0.2247) 、轻度沙化(0.1493
英文摘要	The alpine steppe is a major type of the grassland ecosystem in the Qinghai-Tibet Plateau and plays an important role in soil erosion control and wild animal conservation. In recent years,the desertification of alpine steppe is expanding because of the global climate change and human disturbance. Therefore,it is very important to monitor the area and extent of grassland desertification at a spatial-temporal scale for control. The study used two models of unmanned aerial vehicle (DJ Phantom 3 and Matrice100) and ground survey technology to investigate the desertification status of alpine steppe of Maduo County in Sanjiangyuan National Park,which located in Qinghai Province. The purpose of this study is to select the proper vegetation indices of UAV that suit to build desertification model and classification criteria for alpine steppe desertification. The results showed as following: (1) Based on the respective correlation between Visible-Band Difference Vegetation Index (VDVI) ,Enhanced Normalized Difference Vegetation Index (ENDVI) ,Normalized Green-Red Difference Index (NG RDI) and Grassland Desertification Index (GDI) ,the optimal vegetation index of UAV is VDVI (R = 0.9055) . (2) Built the grassland desertification model,VDVI = 0.3024GDI2-0.0335GDI+0.0119(R~2 = 0.9326) ,the relative error is 1.779% (RMSE = 0. 165,R~2 = 0.7447) ,which means the higher fitting precision. (3) The desertification of the alpine steppe in the study area is divided into five grades,involving no obvious desertification(VDVI>0.2247) ,mild desertification(0. 1493
中文关键词	无人机 ; 沙化 ; 植被指数 ; 高寒草原
英文关键词	UAV desertification vegetation index alpine steppe
语种	中文
国家	中国
收录类别	CSCD
WOS类目	GEOSCIENCES MULTIDISCIPLINARY
WOS研究方向	Geology
CSCD记录号	CSCD:6423842
来源机构	甘肃农业大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/239769
作者单位	甘肃农业大学草业学院, 草业生态系统教育部重点实验室, 兰州, 甘肃 730070, 中国
推荐引用方式 GB/T 7714	花蕊,周睿,王婷,等. 基于无人机遥感的高寒草原沙化模型及等级划分[J]. 甘肃农业大学,2019,39(1):26-33.
APA	花蕊,周睿,王婷,许铭,唐庄生,&花立民.(2019).基于无人机遥感的高寒草原沙化模型及等级划分.中国沙漠,39(1),26-33.
MLA	花蕊,et al."基于无人机遥感的高寒草原沙化模型及等级划分".中国沙漠 39.1(2019):26-33.