STUDY OF THE VARIABILITY OF NATURAL-TERRITORIAL COMPLEXES OF THE TAZ PENINSULA BASED ON MULTISPECTRAL AND RADAR SPACE SURVEY DATA
Annotation
The features of studying intraseasonal variability of natural-territorial complexes in the Arctic zone of the Russian Federation using multispectral and radar space monitoring are considered. Due to special lighting conditions and high cloudiness, the capabilities of spacecraft with optical instruments on board for surveying the territories of the Russian Arctic, are limited. To ensure space monitoring of natural territories of the Russian Arctic, it is necessary to develop techniques using radar methods that do not depend on shooting conditions. Using the example of a single region of the Russian Arctic – the Taz Peninsula – the intraseasonal variability of the most characteristic types of natural-territorial complexes (shrub-lichen tundra; sphagnum bogs; grass willows; sandbanks and anthropogenic objects) is analyzed. Research methods include interferometric processing of original SAR radar data from the Sentinel-1B spacecraft and processing of data from the Sentinel-2A, 2B spacecrafts using algorithms for classification and calculation of spectral vegetation indices. Based on the results of classification of the surfaces of the Taz peninsula test site, carried out using multispectral space information, four reference areas of the natural-territorial complex were selected. An analysis of the stability and variability of surfaces in selected areas of the test site was carried out on the basis of calculated series of interferometric coherence for each type of natural-territorial complex in the snow-free period of 2021. To interpret the results obtained, statistically processed series of meteorological observations of air temperature and precipitation and data from vegetation indices were used. The results of the study may be most in demand in industrial and environmental monitoring of the oil and gas industry and environmental protection in order to maintain technosphere safety and identify the degree of anthropogenic disturbance in the territories of the Russian Arctic.
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