Physics
Scientific paper
May 2002
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002agusm.p52a..02n&link_type=abstract
American Geophysical Union, Spring Meeting 2002, abstract #P52A-02
Physics
5464 Remote Sensing, 1640 Remote Sensing
Scientific paper
Nighttime thermal infrared multispectral data has been collected over Phoenix and the surrounding area by the Advanced Spaceborne Thermal Emission and Reflectance Radiometer (ASTER) for over a year, providing an excellent dataset for analysis of the seasonal temperature variation of natural desert and urban surfaces. Unlike airborne instruments, which can be flown over a site twice in the same day to produce diurnal pair images, ASTER collects data that typically has days to weeks between day/night observations, making small spatial or temporal-scale weather or anthropogenic processes a potentially dominant effect in a diurnal apparent thermal inertia image. The abundance of nighttime observations of the southern Phoenix area allowed a simple affirmation that the temperatures of many surfaces in the scenes varied from what would be assumed from an annual temperature model, and that weather can have a significant effect on individual nighttime thermal images. The analysis described here was devised in order to check the usefulness of any single acquired image to use in a diurnal pair to determine the apparent thermal inertia. Additional information to result from this endeavor is the amplitiude of seasonal temperature change (annual thermal inertia) and an annual analysis of nighttime temperatures of urban and natural surfaces. A dataset was assembled consisting of five cloud-free nighttime scenes in different seasons, starting in November of 2000 and ending in December of 2001. Southern Phoenix was chosen for analysis due to the abundance of data and the presense of urban, agricultural, and natural desert surfaces in a single scene. A temperature correction and normalization method was devised and employed to spatially map the surface temperature variation without the use of a seasonal temperature model. This analysis may have a significant impact on our understanding of the thermal properties of human-constructed surfaces, the effect of water on large scale surface temperatures, and the usefulness and validity of diurnal thermal inertia images.
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