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Abstract

Air temperature is an important climatological variable and information on its spatial and temporal distribution is of great interest to many users. Given the low spatial density of meteorological stations in many parts of the world and considering the problems related to an accurate spatial interpolation of temperature data from these networks, an investigation was made of the possibilities of mapping and monitoring the spatial distribution of daily maximum air temperatures with the help of time-series of NOAA advanced very high resolution radiometer (AVHRR) images. The study has been performed for the Mediterranean region of Andalusia in southern Spain. Data analysis included 31 meteorological stations and 148 AVHRR images from the year 1992. Regression statistics for every station as well as the possibilities of predicting the maximum air temperature have been analysed in detail. Results indicate that it is possible to reproduce the daily distribution of maximum air temperatures with good accuracy using satellite images and physiographic data.

Additional information

Authors: VIAU A, Université Laval, Quebec (CA);PAQUET F, Université Laval, Quebec (CA);VOGT J V, JRC Ispra (IT)
Bibliographic Reference: Paper presented: 9ème Congrès de l'Association Québécoise de Télédétection, Quebec (CA), April 30 - May 3, 1996
Availability: Available from (1) as Paper EN 39672 ORA
Record Number: 199610623 / Last updated on: 1996-05-27
Category: PUBLICATION
Original language: en
Available languages: en
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