Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2017, Vol. 14, No. 6, pp. 73-96
Long-term remote observations of land surface temperature of the North-Western region of Russia
A.A. Tronin
1 , V.I. Gornyy
1 , V.N. Gruzdev
1 , B.V. Shilin
1 1 Saint Petersburg Scientific Research Center for Ecological Safety RAS, Saint Petersburg, Russia
Accepted: 03.11.2017
DOI: 10.21046/2070-7401-2017-14-6-73-96
The paper covers algorithms for information extraction from time series of land surface temperature (LST) data obtained using airborne and satellite based thermal surveys. The peculiarity of aerospace survey using imaging in the infrared thermal spectral range of electromagnetic waves is the existence of daily, annual and long-term thermal rhythms of solar heating resulting in variations of land surface temperature. Positive trends of temperature were observed over the past decades for water reservoirs and urban areas. To perform analysis of LST daily variations, the thermal inertia approach was used. As a result, the maps of land surface thermal properties were compiled. With these maps the detailed spatial distribution of LST for few scenarios of climate change and urbanization were forecasted. Absence of domestic (Russian) infrared thermal airborne scanners with internal temperature calibration restricts the use of advanced algorithms for the LST analyses. Statistical algorithms and change detection method are typically used to search for LST anomalies. In spite of this, the infrared thermal aerial survey technologies for troubleshooting of municipal house heating systems as well as mapping of industrial and household water waste plumes were taken up to the level of broad practical implementation.
Keywords: remote sensing, temperature, thermal rhythms, time series, climate change, urbanization, information, prognosis, ecological safety
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