Remote Sensing | |
Recent Progress on Vegetation Remote Sensing Using Spaceborne GNSS-Reflectometry | |
Xuerui Wu1  Hong Liang2  Weihua Bai3  Yueqiang Sun3  Xinggang Zhang4  Peng Guo5  | |
[1] Laboratory of National Land Space Planning and Disaster Emergency Management of Inner Mongolia, Chifeng University, Chifeng 024000, China;Meteorological Observation Center of China Meteorological Administration, Beijing 100081, China;National Space Science Centers, Chinese Academic of Sciences, Beijing 100190, China;National Time Service Center, Chinese Academy of Sciences, Xi’an 710600, China;Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai 200030, China; | |
关键词: GNSS-R; CYGNSS; L-band; angle; polarization GNSS-R; bistatic scattering; | |
DOI : 10.3390/rs13214244 | |
来源: DOAJ |
【 摘 要 】
Vegetation is an important part of the terrestrial ecosystem and plays a vital role in the global carbon cycle. Traditional remote sensing methods have certain limitations in vegetation monitoring, and the development of GNSS-R (Global Navigation Satellite System-Reflectometry) technology provides a new and complimentary method. With the CYGNSS (Cyclone Global Navigation Satellite System) launch and the increased data acquisition, the use of spaceborne GNSS-R for vegetation monitoring has become a research hotspot. However, due to the complex characteristics of vegetation, its application in this field is still in the exploratory research stage. On the basis of reviewing the current research status, this paper points out the weak links of this technology in terms of polarization and observation geometry. Combined with the microwave vegetation scattering model, this paper analyzes the full polarization bistatic scattering characteristics of vegetation and points out the influence of vegetation parameters (density, water content, and vegetation diameters). The potential feasibility of polarization GNSS-R and future development trends of GNSS-R technology in quantitative retrieval (such as vegetation water content and biomass) are also discussed.
【 授权许可】
Unknown