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An Approach for Monitoring Global Vegetation Based on Multiangular Observations From SMOS

机译:基于SMOS多角度观测的全球植被监测方法

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摘要

Vegetation monitoring is important for the study of the global carbon cycle and ecosystem. The soil moisture and ocean salinity (SMOS) mission that launched in 2009 is the first operational L-band passive microwave spaceborne sensor using synthetic aperture techniques; the sensor provides global L-band multiangular observations. In this study, based on the commonly used zero-order radiative transfer model (ω-τ model), we developed an approach for retrieving vegetation optical depth (VOD) using only SMOS H-polarized multiangular measurements. This was done by minimizing the soil signal and separating the vegetation signal from the multiangular brightness temperature. The uniqueness of this approach is that the angular feature of soil emission is used and that the VOD is retrieved directly from the H-polarized multiangular brightness temperature without any field correction or auxiliary soil or vegetation data. This approach is first validated by theoretical modeling and experimental data. The results demonstrate that VOD can be reliably estimated using this approach. The retrieved VOD is then compared with aboveground biomass, which shows strong correlation. Global mean VOD for the years 2010-2011 generally shows a clear global pattern and corresponds well to the land cover types. The VOD of nine representative regions that are homogeneously covered with different vegetation types from 2010 to 2011 is compared with normalized difference vegetation index (NDVI). The results indicate that the VOD can generally reveal vegetation seasonal changes and can provide unique information for vegetation monitoring.
机译:植被监测对于研究全球碳循环和生态系统很重要。 2009年启动的土壤湿度和海洋盐度(SMOS)任务是首个使用合成孔径技术的可操作L波段无源微波星载传感器;该传感器可提供全局L波段多角度观测结果。在这项研究中,基于常用的零阶辐射传输模型(ω-τ模型),我们开发了一种仅使用SMOS H极化多角度测量来检索植被光学深度(VOD)的方法。这是通过最小化土壤信号并将植被信号与多角度亮度温度分开来完成的。这种方法的独特之处在于,它使用了土壤排放的角度特征,并且可以从H极化多角度亮度温度直接获取VOD,而无需任何场校正或辅助土壤或植被数据。该方法首先通过理论建模和实验数据验证。结果表明,使用这种方法可以可靠地估算VOD。然后将检索到的VOD与地上生物量进行比较,显示出很强的相关性。 2010-2011年的全球平均VOD总体上显示了清晰的全球格局,并且与土地覆盖类型非常吻合。将2010年至2011年均匀覆盖有不同植被类型的9个代表性区域的VOD与归一化植被指数(NDVI)进行了比较。结果表明,视频点播一般可以揭示植被的季节变化,并可以为植被监测提供独特的信息。

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