Publikacje w roku 2014

Vol. 28, Zeszyt 4



Comparison of surface soil moisture from SMOS satellite and ground measurements

International Agrophysics
Rok : 2014
DOI : 10.2478/intag-2014-0026
Volumen : 28
Zeszyt : 3
Strony : 359 - 369
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Autorzy: B. Usowicz1, W. Marczewski2, J. Usowicz3, M. Łukowski1, J. Lipiec1

1Institute of Agrophysics, Polish Academy of Sciences, Doświadczalna 4, 20-290 Lublin, Poland
2Space Research Centre, Polish Academy of Sciences, Bartycka 18A, 00-716 Warsaw, Poland
3Toruń Centre of Astronomy of the Nicolaus Copernicus University, Gagarina 11, 87-100 Toruń, Poland
Streszczenie :

Soil moisture datasets at various scales are needed for sustainable land use and water management. The aim of this study was to compare soil moisture ocean salinity satellite and in situ soil moisture data for the Podlasie and Polesie regions in Eastern Poland. Both regions have similar climatic and topographic conditions but are different in land use, vegetation, and soil cover. The test sites were located on agricultural fields on sandy soils and natural vegetation on marshy soils that prevail in the Podlasie and Polesie regions, respectively. The soil moisture ocean salinity soil moisture data were obtained from radiometric measurements (1.4 GHz) and the ground soil moisture from sensors at a depth of 5 cm during the years 2010-2011. In general, temporal patterns of soil moisture from both satellite and ground measurements followed the rainfall trend. The regression coefficients, Bland-Altman analysis, concordance correlation coefficient, and total deviation index showed that the agreement between ground and soil moisture ocean salinity derived soil moisture data is better for the Podlasie than the Polesie region. The lower agreement in Polesie was attributed mostly to the presence of the widespread natural vegetation on the wetter marsh soil along with minor contribution of agriculturally used drier coarse-textured soils.

Słowa kluczowe : surface soil moisture, SMOS and ground measurements, Bland- Altman analysis, concordance correlation coefficient, total deviation index
Język : Angielski