China Aero Geophysical Survey and Remote Sensing Center for Natural ResourcesHost
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2024 Vol. 36, No. 2
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YANG Ni, DENG Shulin, FAN Yanhong, XIE Guoxue. 2024. Advances in research on the dynamic monitoring of global vegetation based on the vegetation optical depth. Remote Sensing for Natural Resources, 36(2): 1-9. doi: 10.6046/zrzyyg.2023059
Citation: YANG Ni, DENG Shulin, FAN Yanhong, XIE Guoxue. 2024. Advances in research on the dynamic monitoring of global vegetation based on the vegetation optical depth. Remote Sensing for Natural Resources, 36(2): 1-9. doi: 10.6046/zrzyyg.2023059

Advances in research on the dynamic monitoring of global vegetation based on the vegetation optical depth

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  • Corresponding author: DENG Shulin  
  • 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.
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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