The statistical structure of the field of surface soil layer moisture from ground-based and satellite observations
- Authors: Bykov P.L.1,2, Vasilenko E.V.3,4, Gordin V.A.1,2, Tarasova L.L.1,4
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Affiliations:
- Hydrometeorological Research Center of the Russian Federation
- National Research University Higher School of Economics
- Planeta State Research Center on Space Hydrometeorology
- Lomonosov Moscow State University
- Issue: Vol 42, No 6 (2017)
- Pages: 403-414
- Section: Article
- URL: https://journals.rcsi.science/1068-3739/article/view/230196
- DOI: https://doi.org/10.3103/S1068373917060061
- ID: 230196
Cite item
Abstract
The following data was used: the archives of measurements of available water capacity carried out at Roshydromet network of stations and satellite measurements of relative humidity of the upper soil layer from ASCAT data (from the MetOp satellites). The statistical structure of the field of available water capacity in the upper 10- and 20-cm soil layers is assessed. The correlations between the Earth remote sensing data and data from agrometeorological stations are revealed. The procedure of automatic data checking from ground-based observations is developed. The algorithm is suggested for statistically optimal conversion of the Earth remote sensing data to the estimate of moisture content in the upper soil layer.
About the authors
Ph. L. Bykov
Hydrometeorological Research Center of the Russian Federation; National Research University Higher School of Economics
Author for correspondence.
Email: bphilipp@inbox.ru
Russian Federation, Bolshoi Predtechenskii per. 11-13, Moscow, 123242; Myasnitskaya ul. 20, Moscow, 101000
E. V. Vasilenko
Planeta State Research Center on Space Hydrometeorology; Lomonosov Moscow State University
Email: bphilipp@inbox.ru
Russian Federation, Bolshoi Predtechenskii per. 7, Moscow, 123242; GSP-1, Leninskie Gory, Moscow, 119991
V. A. Gordin
Hydrometeorological Research Center of the Russian Federation; National Research University Higher School of Economics
Email: bphilipp@inbox.ru
Russian Federation, Bolshoi Predtechenskii per. 11-13, Moscow, 123242; Myasnitskaya ul. 20, Moscow, 101000
L. L. Tarasova
Hydrometeorological Research Center of the Russian Federation; Lomonosov Moscow State University
Email: bphilipp@inbox.ru
Russian Federation, Bolshoi Predtechenskii per. 11-13, Moscow, 123242; GSP-1, Leninskie Gory, Moscow, 119991