Paper
19 November 2015 Filtration and assimilation of soil moisture satellite data
Nikolay N. Bogoslovskiy, Sergei I. Erin, Irina A. Borodina, Lubov I. Kizhner
Author Affiliations +
Proceedings Volume 9680, 21st International Symposium Atmospheric and Ocean Optics: Atmospheric Physics; 96806V (2015) https://doi.org/10.1117/12.2205957
Event: XXI International Symposium Atmospheric and Ocean Optics. Atmospheric Physics, 2015, Tomsk, Russian Federation
Abstract
This paper presents two data filtration methods. These methods are used for filtration of satellite soil moisture measurement data. A comparison with in-situ soil moisture measurement data shows an improvement in data quality after application of the filters. First results of satellite data assimilation with a global model of numerical weather forecasting are given.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nikolay N. Bogoslovskiy, Sergei I. Erin, Irina A. Borodina, and Lubov I. Kizhner "Filtration and assimilation of soil moisture satellite data", Proc. SPIE 9680, 21st International Symposium Atmospheric and Ocean Optics: Atmospheric Physics, 96806V (19 November 2015); https://doi.org/10.1117/12.2205957
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Cited by 1 scholarly publication.
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KEYWORDS
Soil science

Satellites

Data modeling

Filtering (signal processing)

Electronic filtering

Space operations

Weather forecasting

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