Compositing the Minimum NDVI for MODIS Data

doi:10.1109/TGRS.2016.2623746

	Compositing the Minimum NDVI for MODIS Data
	Liu, Ronggao 1,2
刊名	IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
	2017-03-01
卷号	55 期号:3 页码:1396-1406
关键词	Data processing remote sensing vegetation mapping
ISSN号	0196-2892
DOI	10.1109/TGRS.2016.2623746
通讯作者	Liu, Ronggao(liurg@igsnrr.ac.cn)
英文摘要	The maximum and minimum normalized difference vegetation indexes (NDVIs) describe two extremes of vegetation greenness during a predefined period. A maximum NDVI image can be composited easily via the direct selection of the maximum NDVI from multiple observations without the need to mask out cloud or snow. But, a minimum NDVI image cannot be built in a similar manner. In this paper, an approach was proposed to composite the minimum NDVI (the least vegetation greenness) image. The minimum spectral index that consists of the green (555 nm) and SWIR bands (2130 nm) from MODIS data, which was named here as the Brown Vegetation Index (BVI), was taken as a proxy to composite the minimum vegetation NDVI. This composite method performs well on a global scale for the NDVIs that were derived from MODIS land surface reflectance (MOD09A1) products. The BVI-based minimum NDVI was compared with the direct selection of the minimum NDVI after excluding contaminated observations using a refined cloud/snow mask. The comparison shows that the differ-ence for 97% of the minimum NDVI between the two approaches is within the range of +/- 0.1 NDVI unit. Various potential spectral indices for compositing the minimum NDVI were compared, which demonstrated the BVI-based approach was top rated. Several examples demonstrated that the composited minimum NDVI is valuable and effective for identifying evergreen forests, monsoon forests, and double cropping. The minimum NDVI combined with the maximum NDVI would simplify the way to describe intraannual vegetation changes.
资助项目	Key Research and Development Programs for Global Change and Adaptation[2016YFA0600201] ; National Natural Science Foundation from China[41171285] ; Carbon Project of the Chinese Academy of Sciences[XDA05090303]
WOS关键词	AVHRR DATA ; ATMOSPHERIC CORRECTION ; MONITORING VEGETATION ; LAND ; COVER ; ALGORITHMS ; PHENOLOGY ; PRODUCTS ; SCALE
WOS研究方向	Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000396106700015
资助机构	Key Research and Development Programs for Global Change and Adaptation ; National Natural Science Foundation from China ; Carbon Project of the Chinese Academy of Sciences
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/64871]
专题	中国科学院地理科学与资源研究所
通讯作者	Liu, Ronggao
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resource & Environm Informat Syst, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Liu, Ronggao. Compositing the Minimum NDVI for MODIS Data[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2017,55(3):1396-1406.
APA	Liu, Ronggao.(2017).Compositing the Minimum NDVI for MODIS Data.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,55(3),1396-1406.
MLA	Liu, Ronggao."Compositing the Minimum NDVI for MODIS Data".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 55.3(2017):1396-1406.