Journal
REMOTE SENSING LETTERS
Volume 10, Issue 7, Pages 629-638Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/2150704X.2019.1597298
Keywords
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Funding
- National Natural Science Foundation of China [41830108]
- Youth Innovation Promotion Association of the Chinese Academy of Sciences [2017086]
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This paper propose a universal normalized vegetation index (UNVI), which is an improved vegetation index (VI) based on the universal pattern decomposition method (UPDM), termed VIUPD. We also derive new matrices to facilitate convenient calculation of the UNVI based on data from the MODIS and Landsat-TM, ETM, OLI satellite sensors. We compared the performance of the UNVI to the normalized difference vegetation index (NDVI), enhanced vegetation index (EVI) and modified soil adjusted vegetation index 2 (MSAVI2) to estimate the vegetation dynamics (chlorophyll content and leaf area index [LAI]). The results show that the UNVI was more sensitive to vegetation dynamics than the NDVI, EVI and MSAVI2. The UNVI has a higher LAI saturation point than the other three indices. The UNVI can be used to monitor global changes in above ground biomass (AGB) and gross primary production (GPP) with respect to a wide range of vegetation dynamics.
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