气候变化领域集成服务门户(CCPortal): Variation Characteristic of NDVI and its Response to Climate Change in the Middle and Upper Reaches of Yellow River Basin, China

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DOI	10.1109/JSTARS.2021.3105897
	Variation Characteristic of NDVI and its Response to Climate Change in the Middle and Upper Reaches of Yellow River Basin, China
	Lu, Chengpeng; Hou, Muchen; Liu, Zhiliang; Li, Hengji; Lu, Chenyu
通讯作者	Lu, CP (通讯作者)，Chinese Acad Sci, Inst Appl Ecol, Key Lab Pollut Ecol & Environm Engn, Shenyang 110016, Peoples R China.
发表日期	2021
ISSN	1939-1404
EISSN	2151-1535
起始页码	8484
结束页码	8496
卷号	14
英文摘要	Observing vegetation normalized difference vegetation index (NDVI) changes, climate change characteristics, and their response relationship have a great significance to the ecosystem's regulation and improvement the human settlements. Based on GIMMS AVHRR NDVI and MODIS NDVI datasets as well as temperature, precipitation, and sunshine duration data, this study used unitary linear trend analysis, correlation analysis, RS, and GIS data to analyze the spatiotemporal variation characteristics of vegetation NDVI in the middle and upper reaches of the Yellow River between 1989 and 2018. It also analyzed the spatiotemporal response between vegetation NDVI and climate factors (temperature, precipitation, and sunshine duration). The results showed that the vegetation NDVI in the study area had an increasing trend over the past 30 years, growing by 31.28%, and the NDVI change in 81.83% of the pixels was positive, the highest being 0.025. The temperature in the middle and upper reaches of the Yellow River showed an obvious upward trend, showing an overall distribution pattern of low temperature in the southwest and high temperature in the southeast. The precipitation showed a gentle upward trend and a spatial distribution pattern of a gradual decrease from southeast to northwest. The sunshine duration showed an obvious decreasing trend and a spatial distribution pattern of gradually increasing from southeast to northwest. In the past 30 years, the annual mean NDVI in the study area had a positive correlation with temperature and precipitation and a negative correlation with sunshine duration.
关键词	DIFFERENCE VEGETATION INDEX COVER SEASONALITY TREND
英文关键词	Vegetation mapping; Rivers; Temperature distribution; Meteorology; Vegetation; MODIS; Economics; Climate factor; human settlement environment; middle and upper reaches of the Yellow River; normalized difference vegetation index (NDVI); remote sensing
语种	英语
WOS研究方向	Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Engineering, Electrical & Electronic ; Geography, Physical ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000693758000006
来源期刊	IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND 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/254546
作者单位	[Lu, Chengpeng] Chinese Acad Sci, Inst Appl Ecol, Key Lab Pollut Ecol & Environm Engn, Shenyang 110016, Peoples R China; [Lu, Chengpeng; Hou, Muchen; Liu, Zhiliang] Lanzhou Univ, Sch Econ, Inst Cty Econ Dev & Rural Revitalizat Strategy, Lanzhou 730000, Peoples R China; [Li, Hengji] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Lanzhou Informat Ctr, Lanzhou 730000, Peoples R China; [Lu, Chenyu] Northwest Normal Univ, Coll Geog & Environm Sci, Lanzhou 730000, Peoples R China
推荐引用方式 GB/T 7714	Lu, Chengpeng,Hou, Muchen,Liu, Zhiliang,et al. Variation Characteristic of NDVI and its Response to Climate Change in the Middle and Upper Reaches of Yellow River Basin, China[J]. 中国科学院西北生态环境资源研究院,2021,14.
APA	Lu, Chengpeng,Hou, Muchen,Liu, Zhiliang,Li, Hengji,&Lu, Chenyu.(2021).Variation Characteristic of NDVI and its Response to Climate Change in the Middle and Upper Reaches of Yellow River Basin, China.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,14.
MLA	Lu, Chengpeng,et al."Variation Characteristic of NDVI and its Response to Climate Change in the Middle and Upper Reaches of Yellow River Basin, China".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 14(2021).