Due to the lack of observation data which match the pixels size of satellite remote sensing data, the inversion accuracy of satellite inversion products in Tibet plateau is lack of an effective verification. Hence, the in situ observations are required to support their calibration and validation. For this purpose, a multi-level and multi-scale soil moisture and temperature regular automatic monitoring network (MS-SMTRMN) was established on Qiangtang grassland of northern Tibet area to support multiple satellite remote sensing application, climate modeling or assimilation, and land surface process studies. In this paper, MS-SMTRMN aim at multi-satellite remote sensing application was detailed and the observation data with quality control were used to the verification for multiple satellite retrieval products (FY3, AMSR2 and SMOS). This study will contribute to the understanding of the quality of products and lays the foundation for the satellite data assimilation results in the TP area.

Date Published: 14 October 2015
PDF: 7 pages
Proc. SPIE 9637, Remote Sensing for Agriculture, Ecosystems, and Hydrology XVII, 96371G (14 October 2015); doi: 10.1117/12.2194429

Published in SPIE Proceedings Vol. 9637:
Remote Sensing for Agriculture, Ecosystems, and Hydrology XVII
Christopher M. U. Neale; Antonino Maltese, Editor(s)