气候变化领域集成服务门户(CCPortal): Mapping of Kobresia pygmaea Community Based on Umanned Aerial Vehicle Technology and Gaofen Remote Sensing Data in Alpine Meadow Grassland: A Case Study in Eastern of Qinghai-Tibetan Plateau

CCPortal

DOI	10.3390/rs13132483
	Mapping of Kobresia pygmaea Community Based on Umanned Aerial Vehicle Technology and Gaofen Remote Sensing Data in Alpine Meadow Grassland: A Case Study in Eastern of Qinghai-Tibetan Plateau
	Meng, Baoping; Yang, Zhigui; Yu, Hongyan; Qin, Yu; Sun, Yi; Zhang, Jianguo; Chen, Jianjun; Wang, Zhiwei; Zhang, Wei; Li, Meng; Lv, Yanyan; Yi, Shuhua
通讯作者	Yi, SH (通讯作者)，Nantong Univ, Inst Fragile Ecoenvironm, Nantong 226007, Peoples R China. ; Yi, SH (通讯作者)，Nantong Univ, Sch Geog Sci, Nantong 226007, Peoples R China.
发表日期	2021
EISSN	2072-4292
卷号	13 期号:13
英文摘要	The Kobresia pygmaea (KP) community is a key succession stage of alpine meadow degradation on the Qinghai-Tibet Plateau (QTP). However, most of the grassland classification and mapping studies have been performed at the grassland type level. The spatial distribution and impact factors of KP on the QTP are still unclear. In this study, field measurements of the grassland vegetation community in the eastern part of the QTP (Counties of Zeku, Henan and Maqu) from 2015 to 2019 were acquired using unmanned aerial vehicle (UAV) technology. The machine learning algorithms for grassland vegetation community classification were constructed by combining Gaofen satellite images and topographic indices. Then, the spatial distribution of KP community was mapped. The results showed that: (1) For all field observed sites, the alpine meadow vegetation communities demonstrated a considerable spatial heterogeneity. The traditional classification methods can hardly distinguish those communities due to the high similarity of their spectral characteristics. (2) The random forest method based on the combination of satellite vegetation indices, texture feature and topographic indices exhibited the best performance in three counties, with overall accuracy and Kappa coefficient ranged from 74.06% to 83.92% and 0.65 to 0.80, respectively. (3) As a whole, the area of KP community reached 1434.07 km(2), and accounted for 7.20% of the study area. We concluded that the combination of satellite remote sensing, UAV surveying and machine learning can be used for KP classification and mapping at community level.
关键词	VEGETATION DEGRADATION CLASSIFICATION CARBON PASTURE ECOSYSTEM COVER SOILS BASIN
英文关键词	Kobresia pygmaea community; unmanned aerial vehicle; Gaofen satellite; spatial distribution
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000671163200001
来源期刊	REMOTE SENSING
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/255103
作者单位	[Meng, Baoping; Yang, Zhigui; Sun, Yi; Zhang, Jianguo; Li, Meng; Lv, Yanyan; Yi, Shuhua] Nantong Univ, Inst Fragile Ecoenvironm, Nantong 226007, Peoples R China; [Meng, Baoping; Yang, Zhigui; Sun, Yi; Zhang, Jianguo; Li, Meng; Lv, Yanyan; Yi, Shuhua] Nantong Univ, Sch Geog Sci, Nantong 226007, Peoples R China; [Yu, Hongyan] Qinghai Serv & Guarantee Ctr Qilian Mt Natl Pk, Xining 810001, Peoples R China; [Qin, Yu; Zhang, Wei] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Cryospher Sci, 320 Donggang West Rd, Lanzhou 730000, Peoples R China; [Chen, Jianjun] Guilin Univ Technol, Coll Geomat & Geoinformat, 12 Jiangan Rd, Guilin 541004, Peoples R China; [Wang, Zhiwei] Guizhou Acad Agr Sci, Guizhou Inst Prataculture, Guiyang 550006, Peoples R China
推荐引用方式 GB/T 7714	Meng, Baoping,Yang, Zhigui,Yu, Hongyan,et al. Mapping of Kobresia pygmaea Community Based on Umanned Aerial Vehicle Technology and Gaofen Remote Sensing Data in Alpine Meadow Grassland: A Case Study in Eastern of Qinghai-Tibetan Plateau[J]. 中国科学院西北生态环境资源研究院,2021,13(13).
APA	Meng, Baoping.,Yang, Zhigui.,Yu, Hongyan.,Qin, Yu.,Sun, Yi.,...&Yi, Shuhua.(2021).Mapping of Kobresia pygmaea Community Based on Umanned Aerial Vehicle Technology and Gaofen Remote Sensing Data in Alpine Meadow Grassland: A Case Study in Eastern of Qinghai-Tibetan Plateau.REMOTE SENSING,13(13).
MLA	Meng, Baoping,et al."Mapping of Kobresia pygmaea Community Based on Umanned Aerial Vehicle Technology and Gaofen Remote Sensing Data in Alpine Meadow Grassland: A Case Study in Eastern of Qinghai-Tibetan Plateau".REMOTE SENSING 13.13(2021).