Wpływ wybranych elementów środowiska przyrodniczego na zróżnicowanie emisyjności promieniowania termalnego Doliny Gąsienicowej

Hyperspectral remote sensing is still being discovered as a tool about analytical possibilities for the research on areas about diversifi ed character, like mountain areas. This study investigated the relationship between spatial variability of surface temperature of the Gąsienicowa Valley (the Tatra Mountains) and chosen components of the natural environment, such as: near-surface lithology layers, soil surfaces, land cover types, altitudes, slopes and aspects. Image of the surface radiation temperature was processed basing on the Digital Airborne Imaging Spectrometer (DAIS 7915) data. Thematic layers were: acquired from the Tatra National Park GIS Office (geology, lithology and soil layers), generated from DTM (altitude, slopes and aspects) and created from the DAIS RGB compositions data (land cover). The analysis of relationship between components and surface temperatures were measured by the power connection index (Richling, 1983) and connection index (Zagajewski, 2003). It has been stated that the greatest power of connections occurred between the radiation temperature and the soil surface, however on the majority surface of the Gąsienicowa Valley temperature responses most strongly to the land cover type.