干旱区生态环境知识资源中心(Arid): Coarse spatial resolution remote sensing data with AVHRR and MODIS miss the greening area compared with the Landsat data in Chinese drylands

Arid

DOI	10.3389/fpls.2023.1129665
	Coarse spatial resolution remote sensing data with AVHRR and MODIS miss the greening area compared with the Landsat data in Chinese drylands
	Zhang, Jianshuang; Zhang, Yangjian; Cong, Nan; Tian, Li; Zhao, Guang; Zheng, Zhoutao; Gao, Jie; Zhu, Yixuan; Zhang, Yu
通讯作者	Zhao, G
来源期刊	FRONTIERS IN PLANT SCIENCE
ISSN	1664-462X
出版年	2023
卷号	14
英文摘要	The warming-wetting climates in Chinese drylands, together with a series of ecological engineering projects, had caused apparent changes to vegetation therein. Regarding the vegetation greening trend, different remote sensing data had yielded distinct findings. It was critical to evaluate vegetation dynamics in Chinese drylands using a series of remote sensing data. By comparing the three most commonly used remote sensing datasets [i.e., MODIS, Advanced Very High Resolution Radiometer (AVHRR), and Landsat], this study comprehensively investigated vegetation dynamics for Chinse drylands. All three remote sensing datasets exhibited evident vegetation greening trends from 2000 to 2020 in Chinese drylands, especially in the Loess Plateau and Northeast China. However, Landsat identified the largest greening areas (89.8%), while AVHRR identified the smallest greening area (58%). The vegetation greening areas identified by Landsat comprise more small patches than those identified by MODIS and AVHRR. The MODIS data exhibited a higher consistency with Landsat than with AVHRR in terms of detecting vegetation greening areas. The three datasets exhibited high consistency in identifying vegetation greening in Northeast China, Loess Plateau, and Xinjiang. The percentage of inconsistent areas among the three datasets was 39.56%. The vegetation greening areas identified by Landsat comprised more small patches. Sensors and the atmospheric effect are the two main reasons responsible for the different outputs from each NDVI product. Ecological engineering projects had a great promotion effect on vegetation greening, which can be detected by the three NDVI datasets in Chinese drylands, thereby combating desertification and reducing dust storms.
英文关键词	vegetation greening NDVI ecological engineering projects Google Earth Engine Chinese drylands
类型	Article
语种	英语
开放获取类型	Green Published, gold
收录类别	SCI-E
WOS记录号	WOS:000998429300001
WOS关键词	NORTHWEST CHINA ; CLIMATE-CHANGE ; SEMIARID ECOSYSTEMS ; VEGETATION GROWTH ; LOESS PLATEAU ; UNITED-STATES ; TREND ; EARTH ; DEGRADATION ; VARIABILITY
WOS类目	Plant Sciences
WOS研究方向	Plant Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/396630
推荐引用方式 GB/T 7714	Zhang, Jianshuang,Zhang, Yangjian,Cong, Nan,et al. Coarse spatial resolution remote sensing data with AVHRR and MODIS miss the greening area compared with the Landsat data in Chinese drylands[J],2023,14.
APA	Zhang, Jianshuang.,Zhang, Yangjian.,Cong, Nan.,Tian, Li.,Zhao, Guang.,...&Zhang, Yu.(2023).Coarse spatial resolution remote sensing data with AVHRR and MODIS miss the greening area compared with the Landsat data in Chinese drylands.FRONTIERS IN PLANT SCIENCE,14.
MLA	Zhang, Jianshuang,et al."Coarse spatial resolution remote sensing data with AVHRR and MODIS miss the greening area compared with the Landsat data in Chinese drylands".FRONTIERS IN PLANT SCIENCE 14(2023).