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Improving Land Surface Temperature (LST) Maps Using Night-time Images #1
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Updated text formatting and corrected phrasing in the README.
Updated the README to reflect changes in the CLIMAAX workflow and improved clarity in the text. Adjusted names of municipalities and corrected minor grammatical issues.
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Hi @chpolste, |
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Hi @ihsantopalli, Sorry for not getting back to you earlier. Thanks for the submission first of all! The checks are failing because you edited the top-level readme rather than create one in the folder. The checks require that all changes are happening in a subfolder only. I wanted to provide you with the commands necessary to fix that on the branch, but I haven't gotten around to it yet. |
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Hi @chpolste, |
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Thanks! I have to click a button before the checks run. Everything is fine now with the folder. The failing check is a misconfigured condition in the check and an error on our side. Don't worry about it. I'll get back to this tomorrow to finish the review and merging. |
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Thanks again for the submission! I will make some adjustments to the Markdown formatting of your README file during integration. |
Description
In the CLIMAAX Heatwave Risk Assessment Workflow, satellite-based LST images as the exposure component are analysed. The workflow currently defines the Landsat 8 image downloading methodology and related codes. However, since daytime land surface temperatures often exceed 60°C and are distributed relatively homogeneously across the city center, it was not possible to effectively visualize temperature variations or the urban heat island effect. Therefore, as joint working group from Mersin and Şanlıurfa Metropolitan Municipalities, we searched for another data source providing night-time LST images. This is not 'yet' a complete workflow that can be run directly. As the initial step, we'd like to share our approach.
Additional data
Our proposal is to use Terra ASTER data from https://search.earthdata.nasa.gov
List of contributors
İhsan Topallı- MersinMM: ihsan@topalli-ai.com
İzzettin Karabulut-Sanliurfa MM: karabulut6363@gmail.com
Tamer Atalay- Atalay Climate Consulting: tamer@atalayconsulting.com
License agreement
The dual license model of the CLIMAAX Handbook allows licensees to choose to use content from this respository under either the Apache-2.0 license or the CC-BY-4.0 license. By submitting this pull request, I affirm that the included content can be published under these terms and agree to its use under these terms.