ISSN 1000-0526
CN 11-2282/P
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Archive > Volume 36 Issue 4 > 2010,36(4):75-79. DOI:10.7519/j.issn.1000-0526.2010.4.013 Prev Next

Air Temperature Retrieval from Remote Sensing Data at Regional Level

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    Abstract:
    A new approach was developed to retrieve air temperature from remotely sensed data. In a sparse vegetation region, based on the relation between air temperature (Ta) and land surface temperature (TLS), three linear regression equations have been established according to the different grade of elevation. In a dense vegetation region, “Vi-Ts” (vegetation indexsurface temperature) method is used for the estimation of air temperature. Air temperature from this prototype algorithm is validated using NOAAAVHRR data with actual observations of air temperature at China meteorological stations. The error in the sparse vegetation is about 1.5-1.8 ℃(R2=0.89) and the error in the dense vegetation is averagely 1.61 ℃(R2=0.90). The results show that algorithm for estimating air temperature has a high accuracy and can be used in operation.

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