Assessing seasonal trends and variability of vegetation growth from NDVI3g, MODIS NDVI and EVI over South Asia

doi:10.1080/2150704X.2018.1519270

	Assessing seasonal trends and variability of vegetation growth from NDVI3g, MODIS NDVI and EVI over South Asia
	Sarmah, Sangeeta 1,2; Jia, Gensuo 1; Zhang, Anzhi 1; Singha, Mrinal 3
刊名	REMOTE SENSING LETTERS
	2018
卷号	9 期号:12 页码:1195-1204
ISSN号	2150-704X
DOI	10.1080/2150704X.2018.1519270
通讯作者	Jia, Gensuo(jiong@tea.ac.cn)
英文摘要	The characterization of vegetation dynamics over South Asia (SA) has been primarily conducted using satellite time series of Advanced Very High Resolution Radiometer (AVHRR) Normalized Difference Vegetation Index (NDVI). However, various vegetation indices may show diverse trend patterns over the same area. This study analysed the consistency of the vegetation spatiotemporal trends from AVHRR version 3 NDVI (NDVI3g) with the Moderate Resolution Imaging Spectroradiometer (MODIS) NDVI and Enhanced Vegetation Index (EVI) over SA during various seasons, assuming that MODIS products are of higher quality. Results showed that the spatiotemporal vegetation trends derived from the NDVI3g were analogous to both MODIS NDVI and EVI indicating greening over semi-arid regions where croplands dominate and browning over tropical/subtropical forest areas. Correlations among them were better during winter monsoon. Discrepancies occurred in tropical/subtropical densely vegetated (humid) and complex topographic areas specifically during summer monsoon (SM). This study improved the understanding of the heterogeneous vegetation trends over the vast complicated terrain of SA. It was revealed that NDVI3g is reliable to quantify vegetation trends over SA, however, calibration errors still could introduce biases during SM season.
资助项目	Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19030401] ; Chinese Academy of Sciences The Belt and Road Initiatives Program on International Cooperation[134111KYSB20160010] ; Chinese Academy of Sciences The Belt and Road Initiatives Program on International Cooperation[131C11KYSB20160061]
WOS关键词	TIME-SERIES ; SATELLITE DATA ; 3 DECADES ; INDIA ; GIMMS ; PRODUCTIVITY ; CONSISTENCY ; PATTERNS ; INDEXES
WOS研究方向	Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	TAYLOR & FRANCIS LTD
WOS记录号	WOS:000446226300003
资助机构	Strategic Priority Research Program of the Chinese Academy of Sciences ; Chinese Academy of Sciences The Belt and Road Initiatives Program on International Cooperation
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/52823]
专题	中国科学院地理科学与资源研究所
通讯作者	Jia, Gensuo
作者单位	1.Chinese Acad Sci, CAS Key Lab Reg Climate Environm Temperate East A, Inst Atmospher Phys, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Sarmah, Sangeeta,Jia, Gensuo,Zhang, Anzhi,et al. Assessing seasonal trends and variability of vegetation growth from NDVI3g, MODIS NDVI and EVI over South Asia[J]. REMOTE SENSING LETTERS,2018,9(12):1195-1204.
APA	Sarmah, Sangeeta,Jia, Gensuo,Zhang, Anzhi,&Singha, Mrinal.(2018).Assessing seasonal trends and variability of vegetation growth from NDVI3g, MODIS NDVI and EVI over South Asia.REMOTE SENSING LETTERS,9(12),1195-1204.
MLA	Sarmah, Sangeeta,et al."Assessing seasonal trends and variability of vegetation growth from NDVI3g, MODIS NDVI and EVI over South Asia".REMOTE SENSING LETTERS 9.12(2018):1195-1204.