Surface temperature measurements near Ny-Ålesund, Svalbard, Norway in 2008 with links to data files ...

The ground surface temperature is one of the key parameters that determine the thermal regime of permafrost soils in arctic regions. Due to remoteness of most permafrost areas, monitoring of the land surface temperature (LST) through remote sensing is desirable. However, suitable satellite platforms...

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Bibliographic Details
Main Authors: Westermann, Sebastian, Langer, Moritz, Boike, Julia
Format: Dataset
Language:English
Published: PANGAEA 2011
Subjects:
DATE/TIME
Uniform resource locator/link to raw data file
Uniform resource locator/link to image
Uniform resource locator/link to thumbnail
Thermal imaging system
NYA_Meteorological_Obs
AWIPEV
Permafrost Research Periglacial Dynamics @ AWI AWI_PerDyn
Ny Ålesund
Ny-Ålesund
permafrost
Svalbard
Tundra
Online Access:https://dx.doi.org/10.1594/pangaea.746674
https://doi.pangaea.de/10.1594/PANGAEA.746674
Description
Summary:The ground surface temperature is one of the key parameters that determine the thermal regime of permafrost soils in arctic regions. Due to remoteness of most permafrost areas, monitoring of the land surface temperature (LST) through remote sensing is desirable. However, suitable satellite platforms such as MODIS provide spatial resolutions, that cannot resolve the considerable small-scale heterogeneity of the surface conditions characteristic for many permafrost areas. This study investigates the spatial variability of summer surface temperatures of high-arctic tundra on Svalbard, Norway. A thermal imaging system mounted on a mast facilitates continuous monitoring of approximately 100 x 100 m of tundra with a wide variability of different surface covers and soil moisture conditions over the entire summer season from the snow melt until fall. The net radiation is found to be a control parameter for the differences in surface temperature between wet and dry areas. Under clear-sky conditions in July, the ... : Structure of ascii-files: 1st line (filename, acquisition date (dd.mm.yyyy) and time (hh:mm:ss); the rest contains a matrix corresponding to the temperature measurements (i.e. thermal image); columns 0-384, rows 0-287, matrix entries are brightness temperature measurements for each pixel in °C. Brightness temperature is the temperature of a blackbody radiator that emits the same irradiance as received at the sensor. ...

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