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Journal of Automation and Information Sciences
SJR: 0.275 SNIP: 0.59 CiteScore™: 0.8

ISSN Imprimir: 1064-2315
ISSN En Línea: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v51.i6.30
pages 25-40

Estimation of the Thermodynamic Temperature of the Earth's Surface Using Satellite Data Based on the Land Cover Classification in the Optical Radiation Range

Yarema I. Zyelyk
Institute of Space Research of National Academy of Sciences of Ukraine and National Space Agency of Ukraine, Kyiv, Ukraine
Lyudmila V. Podgorodetskaya
Institute of Space Research of National Academy of Sciences of Ukraine and State Space Agency of Ukraine, Kiev
Sergey V. Chornyy
Institute of Space Research of National Academy of Sciences of Ukraine and State Space Agency of Ukraine, Kiev


The method for estimation of the thermodynamic temperature field of the Earth's surface using satellite data of the long-wave infrared range is studied and implemented in the environment of Quantum GIS using the Semi-Automatic Classification Plugin. This method is based on the land cover classification in the optical radiation range using the machine learning. The supervised land cover classification into four main macroclasses was carried out using the maximum likelihood method according to the reflectivity for the formed data set of spectral channels in the optical radiation range. When classifying, for each macroclass several training areas are created, each of which defines the certain child class. Training regions are formed by region growing method by attaching adjacent pixels to some selected pixel-seed based on the proximity of their spectral signature vectors. The reclassification of the resulting classification raster was performed, and for each macroclass the characteristic known value of the thermal emissivity was assigned. The research results are illustrated by the example of the estimation of the surface thermodynamic temperature of the wetland mineral and peat soils in the lowlands of the Kyiv region using satellite images of Landsat-8 (OLI, TIRS). It has been established that the contours of heated terrain areas, obtained from the conditions of exceeding of the experimentally selected threshold values of the thermodynamic temperature, based on the constructed temperature raster of the land surface, are consistent with the information of the State Emergency Service of Ukraine about dates and places of the peatland fires.


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