基于原位和星载观测的地表温度对土壤湿度的敏感性研究

M. Pablos, M. Piles, Nilda Sanchez-Martin, V. González-Gambau, M. Vall-llossera, Adriano Camps, J. Martínez-Fernández
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引用次数: 7

摘要

地表土壤水分影响土壤表面能量平衡,进而影响地表温度,反之亦然。目前,LST和SSM遥感分别使用TIR传感器和l波段辐射计。NASA的Terra/Aqua任务在晴空条件下使用MODIS提供了LST测量的全面覆盖。欧空局的SMOS任务是第一个在全球范围内提供频繁的SSM和海洋盐度观测的卫星。本文利用remmedhus网络的原位测量数据和MODIS和SMOS的星载观测数据,对地表温度和SSM之间的关系进行了敏感性研究。结果表明,以日最大地表温度计算,地表温度与SSM的相关性最高。这有助于改进SSM算法,并从微波和TIR观测的协同作用中获得更高分辨率的新SSM产品。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A sensitivity study of land surface temperature to soil moisture using in-situ and spaceborne observations
Surface Soil Moisture (SSM) affects the soil surface energy balance and thus affects the Land Surface Temperature (LST), and viceversa. Currently, LST and SSM are remotely sensed using TIR sensors and L-band radiometers, respectively. The NASA's Terra/Aqua missions provide full coverage of LST measurements under clear sky conditions using MODIS. The ESA's SMOS mission is the first satellite providing frequent SSM and ocean salinity observations at global scale. In this paper, a sensitivity study about the relationship of the LST and SSM is performed using in-situ measurements from the REMEDHUS network and spaceborne observations from MODIS and SMOS. Results show that the correlation between SSM and LST (both in-situ and remotely sensed) is highest using the daily maximum LST. This could help improving SSM algorithms and deriving new SSM products at higher resolution from the synergy of microwave and TIR observations.
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