Izvestiya, Atmospheric and Oceanic Physics

, Volume 53, Issue 9, pp 1060–1071 | Cite as

Integration of Satellite Tracking Data and Satellite Images for Detailed Characteristics of Wildlife Habitats

  • D. V. Dobrynin
  • V. V. Rozhnov
  • A. A. Saveliev
  • O. V. Sukhova
  • A. A. Yachmennikova
The Use of Space Information about the Earth

Abstract

Methods of analysis of the results got from satellite tracking of large terrestrial mammals differ in the level of their integration with additional geographic data. The reliable fine-scale cartographic basis for assessing specific wildlife habitats can be developed through the interpretation of multispectral remote sensing data and extrapolation of the results to the entire estimated species range. Topographic maps were ordinated according to classified features using self-organizing maps (Kohonen’s SOM). The satellite image of the Ussuriiskyi Nature Reserve area was interpreted for the analysis of movement conditions for seven wild Amur tigers (Panthera tigris altaica) equipped with GPS collars. 225 SOM classes for cartographic visualization are sufficient for the detailed mapping of all natural complexes that were identified as a result of interpretation. During snow-free periods, tigers preferred deciduous and shrub associations at lower elevations, as well as mixed forests in the valleys of streams that are adjacent to sparse forests and shrub watershed in the mountain ranges; during heavy snow periods, the animals preferred the entire range of plant communities in different relief types, except for open sites in meadows and abandoned fields at foothills. The border zones of different biotopes were typically used by the tigers during all seasons. Amur tigers preferred coniferous forests for long-term movements.

Keywords

satellite tracking of mammals Earth remote sensing data interpretation of satellite images self-organizing mapping SOM artificial neural networks biotope structuring the Amur tiger Panthera tigris altaica 

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Copyright information

© Pleiades Publishing, Ltd. 2017

Authors and Affiliations

  • D. V. Dobrynin
    • 1
  • V. V. Rozhnov
    • 2
  • A. A. Saveliev
    • 1
    • 3
  • O. V. Sukhova
    • 4
  • A. A. Yachmennikova
    • 1
    • 2
  1. 1.SCANEX Engineering and Technology CenterMoscowRussia
  2. 2.Severtsov Institute of Ecology and EvolutionRussian Academy of SciencesMoscowRussia
  3. 3.Kazan Federal UniversityKazan, TatarstanRussia
  4. 4.Natural Science InstitutePerm Research State UniversityPermRussia

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