Paper
14 July 2003 Applications of NOAA weather satellite data to the estimates of topographic height and retrieval of soil moisture in Ningxia
Lianxi Wang, Xiaoyu Zhang, Xiaoguang Chen
Author Affiliations +
Proceedings Volume 4890, Ecosystems Dynamics, Ecosystem-Society Interactions, and Remote Sensing Applications for Semi-Arid and Arid Land; (2003) https://doi.org/10.1117/12.466522
Event: Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2002, Hangzhou, China
Abstract
Marked by high efficiency, multiple channels and low cost, meteorological satellites have the applications extending from the use only in a meteorological context to quite a few scopes of research and operation. This paper introduces the establishment of statistical models between altitudes of stations at different latitudes/longitudes and corresponding NOAA/AVHRR remote sensing data to obtain the terrain altitudes in Ningxia and its surroundings whereupon the heights of different parts of Ningxia are found, with the results applied to the retrieval of spring soil moisture, thereby leading to the construction of soil moisture retrieval models from satellite data and altitudes for real-time monitoring soil moisture. Results show that it is successful to make verification of satellite-data calculated altitudes against measurements, which, when introduced into the soil moisture retrieval models, improve the accuracy to greater extent. On this basis we developed the operational models for remote sensing based spring soil moisture monitoring in the target region that are run in an easy, quick and visual way, thus providing an efficient means of farmland soil moisture/dryness distributions monitoring.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lianxi Wang, Xiaoyu Zhang, and Xiaoguang Chen "Applications of NOAA weather satellite data to the estimates of topographic height and retrieval of soil moisture in Ningxia", Proc. SPIE 4890, Ecosystems Dynamics, Ecosystem-Society Interactions, and Remote Sensing Applications for Semi-Arid and Arid Land, (14 July 2003); https://doi.org/10.1117/12.466522
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KEYWORDS
Soil science

Data modeling

Remote sensing

Satellites

Atmospheric modeling

Meteorological satellites

Thermal modeling

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