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Satellite monitoring of forest fires in Russia at federal and regional levels. Mitigation and Adaptation Strategies for Global Change: 11. No 1: 113-145. 2006. Franca J. R. , Multispectral remote sensing of biomass burning in West Africa . J. Atmos. Chem. 22: 81–110. 1995. , Forest fire detection in East Siberia forests using AVHRR/NOAA data. In: Proceedings of International Simposium on Hyperspectral Remote Sensing and Application (Robert O. 1998. , Detection of small fires from NOAA/AVHRR data.
Of Geophys. , 102 (D14): 16, 697-16,713. (1997). , “Design and application of the atmospheric radiation model for detection of the ocean temperature from space sensing data,” Cand. -Math. Sci. , Tomsk, 192 p. 1987. , From Physical Foundations, Theory, and Simulation to Thematic Processing of Satellite Images. Publishing House of IAO SB RAS, Tomsk, Ru. 266 p. 2005. , Atmospheric correction of ASTER. IEEE Trans. Geosci. Remote Sens: 36. No. 4: 1199–1211. 1998. , Paolini, L. Land surface temperature retrieval from LANDSAT TM 5.
The overestimation for case B exceeds 300 K. 3. APPLICATION OF THE RTM METHOD TO DETECTION OF HIGHTEMPERATURE OBJECTS The RTM method was tested using data of 97 files (granules) of the telemetric information from EOS/MODIS (Terra satellite, daytime images) for June 2006, pertaining to the West Siberian territory. As test objects for observations, we have chosen 13 flames from combustion of accompanying gas in oil-gas fields of Tomsk and southern Tyumen Regions. The choice of flames was determined by their stability and availability of their geographic coordinates, necessary for the torch identification.
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