Mapping Mountain Permafrost Landscapes in Siberia Using Landsat Thermal Imagery

• Main Authors: Svetlana V. Kalinicheva, Alexander N. Fedorov, Mikhail N. Zhelezniak
• Format: Article
• Language: English
• Published: MDPI AG 2018-12-01
• Series: Geosciences
• Subjects: South Yakutia; landscape indication method; permafrost mapping; Landsat; satellite images; thermal infrared imagery; LST
• Online Access: https://www.mdpi.com/2076-3263/9/1/4

Intensive development of South Yakutia, a mountainous area in the Russian sporadic permafrost zone, must be founded on knowledge about regional permafrost conditions. New permafrost maps for mountainous areas in South Yakutia (the Elkon Mountains and the Olekma-Chara Upland) are presented that provide a more detailed and updated description of permafrost distribution in the area than those that were hitherto available. These maps are based on the previously-developed and tested method of detecting permafrost and unfrozen ground using Landsat-5/TM satellite data with relatively high resolution. The method represents a scheme for permafrost identification based on a set of landscape indicators: terrain elevation, slope angle and exposition, vegetation, snow cover, and land surface temperature (LST). A correlation analysis of satellite data to full-scale field data has been carried out for the two areas under consideration. Indicator properties of LST obtained by Landsat-5/TM Band 6 Infrared have been characterized in detail for detection and regional mapping of permafrost. The effect of landscape factors (landscape cryo-indicators) on ground temperature and condition, frozen or unfrozen reflected in LST intensity, is demonstrated.