Arid
DOI10.1080/2150704X.2018.1519270
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
通讯作者Jia, Gensuo
来源期刊REMOTE SENSING LETTERS
ISSN2150-704X
EISSN2150-7058
出版年2018
卷号9期号:12页码:1195-1204
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.


类型Article
语种英语
国家Peoples R China
收录类别SCI-E
WOS记录号WOS:000446226300003
WOS关键词TIME-SERIES ; SATELLITE DATA ; 3 DECADES ; INDIA ; GIMMS ; PRODUCTIVITY ; CONSISTENCY ; PATTERNS ; INDEXES
WOS类目Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向Remote Sensing ; Imaging Science & Photographic Technology
来源机构中国科学院地理科学与资源研究所 ; 中国科学院大气物理研究所
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/212680
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]. 中国科学院地理科学与资源研究所, 中国科学院大气物理研究所,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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