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Published on: February 27, 2021
Observing Thermal Conditions of Historic Buildings through Earth Observation Data and Big Data Engine
Athos Agapiou1,2, Vasiliki Lysandrou1,2
1Department of Civil Engineering and Geomatics, Faculty of Engineering and Technology, Cyprus University of Technology, Saripolou 2-8, Limassol 3036, Cyprus.
This study used satellite data and Google Earth Engine to analyze thermal conditions in historic Cyprus clusters from 2013-2020. It identified seasonal land surface temperature changes and land cover anomalies using vegetation and building indices.
Area of Science:
- Environmental Science
- Remote Sensing
- Urban Climatology
Background:
- Historic urban clusters face unique thermal challenges due to building materials and microclimates.
- Understanding thermal conditions is crucial for heritage preservation and urban planning.
Purpose of the Study:
- To investigate macro-scale thermal conditions and land cover changes in historic Cypriot urban clusters.
- To analyze multi-temporal and seasonal variations in land surface temperature (LST).
- To identify potential land cover anomalies using remote sensing indices.
Main Methods:
- Processing over 140 Landsat 7 ETM+ and 8 LDCM images on Google Earth Engine (2013-2020).
- Multi-temporal thermal analysis to generate Land Surface Temperature (LST) products at 100 m resolution.
- Extraction of Normalized Difference Vegetation Index (NDVI) and Normalized Difference Build Index (NDBI) to detect land cover changes.
Main Results:
- Macro-scale identification of multi-temporal and diachronic changes in thermal patterns.
- Establishment of seasonal and location-based change patterns within historic building clusters.
- Correlation of thermal anomalies with land cover variations detected by NDVI and NDBI.
Conclusions:
- Satellite observations on cloud platforms provide effective macro-scale analysis of historic urban thermal environments.
- Seasonal variations significantly influence land surface temperature in historic Cypriot clusters.
- The methodology can identify critical areas for heritage management and urban adaptation strategies.
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