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.
1.Shihezi Univ, Xinjiang Prod & Construct Corps, Key Lab Oasis Ecoagr, Shihezi, Peoples R China 2.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, Beijing, Peoples R China 4.Pir Mehr Ali Shah Arid Agr Univ, Inst Geoinformat & Earth Observat, Rawalpindi, Pakistan
Recommended Citation:
Zhang, Lifu,Qiao, Na,Baig, Muhammad Hasan Ali,et al. Monitoring vegetation dynamics using the universal normalized vegetation index (UNVI): An optimized vegetation index-VIUPD[J]. REMOTE SENSING LETTERS,2019-01-01,10(7):629-638