ОЦІНЮВАННЯ ТЕРМОДИНАМІЧНОЇ ТЕМПЕРАТУРИ ЗЕМНОЇ ПОВЕРХНІ ЗА СУПУТНИКОВИМИ ДАНИМИ НА ОСНОВІ КЛАСИФІКАЦІЇ ЗЕМНОГО ПОКРИВУ В ОПТИЧНОМУ ДІАПАЗОНІ ВИПРОМІНЮВАННЯ

The method for estimation of the thermodynamic temperature field of the land 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...

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Datum:2025
Hauptverfasser: Zyelyk, Ya.I., Podgorodetskaya, L.V., Chornyy, S.V.
Format: Artikel
Sprache:English
Veröffentlicht: V.M. Glushkov Institute of Cybernetics of NAS of Ukraine 2025
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Online Zugang:https://jais.net.ua/index.php/files/article/view/660
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Назва журналу:Problems of Control and Informatics

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Problems of Control and Informatics
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Zusammenfassung:The method for estimation of the thermodynamic temperature field of the land 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 Land-sat-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.