Journal
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
Volume 9, Issue 5, Pages 876-880Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LGRS.2012.2185034
Keywords
Multitemporal Landsat imagery; surface urban heat island (UHI); thermal remote sensing; urban areas
Categories
Funding
- Cluster of Excellence Integrated Climate System Analysis and Prediction
- German Research Council within the Excellence Initiative of the German federal government
- German Research Council within the Excellence Initiative of the German state government
Ask authors/readers for more resources
Today, only few spaceborne sensors can deliver the thermal infrared information at medium scale required for urban heat island (UHI) modeling and assessment for applications in urban design. Despite recent advances in assessing urban thermal behavior, new methods for the estimation of UHI parameters are still needed. Relevant information about the thermal behavior is coded in the annual cycle of surface temperatures. In this letter, the robustness of parameters extracted from the annual cycle was tested. Therefore, a larger data set of Landsat surface temperatures was generated by cloud masking, and parameters from disjoint subsets were compared. Furthermore, a large number of virtual samples were generated to assess the accurateness of the extracted parameters. It was found that the mean and amplitude of the annual cycles in (black body) surface temperature can be estimated with an accuracy of approximately 1 K from 35 thermal infrared images. Hence, the multitemporal cycle parameters are an asset to characterize urban thermal landscapes.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available