Advances in research on the dynamic monitoring of global vegetation based on the vegetation optical depth
YANG Ni1,2(), DENG Shulin3(), FAN Yanhong2, XIE Guoxue4
1. School of Geography and Information Engineering, China University of Geosciences(Wuhan), Wuhan 430074, China 2. School of Management Science and Engineering, Guangxi University of Finance and Economics, Nanning 530003, China 3. School of Geography Science and Planning, Nanning Normal University, Nanning 530001, China 4. Institute of Agricultural Science and Technology Information, Guangxi Academy of Agricultural Sciences, Nanning 530003, China
The vegetation optical depth (VOD) serves as a microwave-based method for estimating vegetation water content and biomass. Compared to optical remote sensing, the satellite-based VOD, exhibiting a lower sensitivity to atmospheric disturbances, can measure the characteristics and information of vegetation in various aspects, thus providing an independent and complementary data source for global vegetation monitoring. It has been extensively applied to investigate the effects of global climate and environmental changes on vegetation. Discerning the research advances of VOD application in the dynamic monitoring of global vegetation is critical for VOD’s further development and application. Hence, this study first presented the primary methods for obtaining the VOD through inversion of passive and active microwave data, comparatively analyzing the principal characteristics of various sensor VOD products. Then, this study generalized the current research advances of VOD in the dynamic monitoring of vegetation in terms of vegetation characteristic monitoring (like vegetation water content and biomass), carbon balance analysis, drought monitoring, and phenological analysis. Finally, this study expounded the advantages, limitations, and improvement approaches of VOD products, envisioning the application prospect of VOD in the dynamic monitoring of vegetation.
杨妮, 邓树林, 樊艳红, 谢国雪. 基于植被光学厚度的全球植被动态监测进展[J]. 自然资源遥感, 2024, 36(2): 1-9.
YANG Ni, DENG Shulin, FAN Yanhong, XIE Guoxue. Advances in research on the dynamic monitoring of global vegetation based on the vegetation optical depth. Remote Sensing for Natural Resources, 2024, 36(2): 1-9.
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2024, Vol. 36 
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