Share Email Print
cover

Proceedings Paper

A multi-scale soil moisture and temperature regularly automatic monitoring network aim at multi-satellite data validation in Tibet Plateau
Author(s): Lixin Dong; Shihao Tang
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

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.

Paper Details

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
Show Author Affiliations
Lixin Dong, National Satellite Meteorological Ctr. (China)
Shihao Tang, National Satellite Meteorological Ctr. (China)


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

© SPIE. Terms of Use
Back to Top