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Assessing seasonal trends and variability of vegetation growth from NDVI3g, MODIS NDVI and EVI over South Asia
Sarmah, Sangeeta1,2; Jia, Gensuo1; Zhang, Anzhi1; Singha, Mrinal3
2018
Source PublicationREMOTE SENSING LETTERS
ISSN2150-704X
Volume9Issue:12Pages:1195-1204
Corresponding AuthorJia, Gensuo(jiong@tea.ac.cn)
AbstractThe 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.
DOI10.1080/2150704X.2018.1519270
WOS KeywordTIME-SERIES ; SATELLITE DATA ; 3 DECADES ; INDIA ; GIMMS ; PRODUCTIVITY ; CONSISTENCY ; PATTERNS ; INDEXES
Indexed BySCI
Language英语
Funding ProjectStrategic 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]
Funding OrganizationStrategic Priority Research Program of the Chinese Academy of Sciences ; Chinese Academy of Sciences The Belt and Road Initiatives Program on International Cooperation
WOS Research AreaRemote Sensing ; Imaging Science & Photographic Technology
WOS SubjectRemote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000446226300003
PublisherTAYLOR & FRANCIS LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/52824
Collection中国科学院地理科学与资源研究所
Corresponding AuthorJia, Gensuo
Affiliation1.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
Recommended Citation
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.
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