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Article

Atmospheric Effect Analysis and Correction of the Microwave Vegetation Index

State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, No. 20 Datun Road, Chaoyang District, Beijing 100101, China
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Author to whom correspondence should be addressed.
Academic Editors: Alexander Kokhanovsky and Richard Müller
Remote Sens. 2017, 9(6), 606; https://doi.org/10.3390/rs9060606
Received: 19 December 2016 / Revised: 3 June 2017 / Accepted: 9 June 2017 / Published: 14 June 2017
(This article belongs to the Special Issue Atmospheric Correction of Remote Sensing Data)
Microwave vegetation index (MVI) is a vegetation index defined in microwave bands. It has been developed based on observations from AMSR-E and widely used to monitor global vegetation. Recently, our study found that MVI was influenced by the atmosphere, although it was calculated from microwave bands. Ignoring the atmospheric influence might bring obvious uncertainty to the study of global vegetation. In this study, an atmospheric effect sensitivity analysis for MVI was carried out, and an atmospheric correction algorithm was developed to reduce the influence of the atmosphere. The sensitivity analysis showed that water vapor, clouds and precipitation were main parameters that had an influence on MVI. The result of the atmospheric correction on MVI was validated at both temporal and spatial scales. The validation showed that the atmospheric correction algorithm developed in this study could obviously improve the underestimation of MVI on most land surfaces. Seasonal patterns in the uncorrected MVI were obviously related to atmospheric water content besides vegetation changes. In addition, global maps of MVI showed significant differences before and after atmospheric correction in the northern hemisphere in the northern summer. The atmospheric correction will make the MVI more reliable and improve its performance in calculating vegetation biomass. View Full-Text
Keywords: microwave vegetation index; atmospheric correction; water vapor; cloud liquid water microwave vegetation index; atmospheric correction; water vapor; cloud liquid water
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MDPI and ACS Style

Ji, D.-B.; Shi, J.-C.; Letu, H.; Wang, T.-X.; Zhao, T.-J. Atmospheric Effect Analysis and Correction of the Microwave Vegetation Index. Remote Sens. 2017, 9, 606. https://doi.org/10.3390/rs9060606

AMA Style

Ji D-B, Shi J-C, Letu H, Wang T-X, Zhao T-J. Atmospheric Effect Analysis and Correction of the Microwave Vegetation Index. Remote Sensing. 2017; 9(6):606. https://doi.org/10.3390/rs9060606

Chicago/Turabian Style

Ji, Da-Bin, Jian-Cheng Shi, Husi Letu, Tian-Xing Wang, and Tian-Jie Zhao. 2017. "Atmospheric Effect Analysis and Correction of the Microwave Vegetation Index" Remote Sensing 9, no. 6: 606. https://doi.org/10.3390/rs9060606

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