来自l波段SMOS和Smap观测的全球长期亮温记录

Xiaojun Li, J. Wigneron, F. Frappart, L. Fan, G. Lannoy, A. Konings, Xiangzhuo Liu, Mengjia Wang, R. Fernandez-Moran, A. Al-Yaari, Honagliang Ma, Zanping Xing, C. Moisy
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引用次数: 3

摘要

l波段被动微波遥感观测提供了与地球水碳循环相关的地表土壤湿度(SM)和植被光深(VOD)的关键和全局信息。目前只有两个星载l波段传感器在运行:2009年底发射的SMOS和2015年初发射的SMAP,前者提供了11年的全球数据集。为了确保在其中一个星载SMOS或SMAP传感器失效时SM和L-VOD数据的连续性,我们首先基于SMOS- ic和SMAP增强的数据再现,通过生成一致的40°SMOS和SMAP TB估计,开发了一致的亮度温度(TB)记录。,然后用线性融合的方法进行融合。研究发现,SMOS和SMAP结核具有很强的相关性(在全球大部分地区的R > 0.90),但在水平和垂直极化上都存在较小的偏差。初步评价结果表明,这种偏差可以使用线性拟合进行调整,但仍需要进一步的评价程序。在不久的将来,我们将基于这一合并的SMOS-SMAP TB记录开发SM和L-VOD产品的长期时间序列。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Global Long-Term Brightness Temperature Record from L-Band SMOS and Smap Observations
Passive microwave remote sensing observations at L-band provide key and global information on surface soil moisture (SM) and vegetation optical depth (VOD), which are related to the Earth water and carbon cycles. Only two spaceborne L-band sensors are currently operating: SMOS, launched end of 2009 and thus providing now a 11-year global dataset and SMAP, launched beginning of 2015. To ensure SM and L-VOD data continuity in the event of failure of one of the space-borne SMOS or SMAP sensors, we developed a consistent brightness temperature (TB) record by first producing consistent 40° SMOS and SMAP TB estimates based on SMOS-IC and SMAP enhanced data resp., and then fusing them via linear fusion method. We found that SMOS and SMAP TB are strongly correlated (R > 0.90 over most of the globe) but present a small bias at both the horizontal and vertical polarizations. The preliminary evaluation results show that this bias can be adjusted using a linear fit, but further evaluation procedures are still needed. In the near future, we will develop a long-term time series of SM and L-VOD products based on this merged SMOS-SMAP TB record.
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