Mr. David Parastatidis Profile

David Parastatidis

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Proceedings Article | 13 September 2021 Presentation + Paper

RSLab Landsat land surface temperature application assessment with the new Landsat collection 2 in urban areas

David Parastatidis, Nektarios Chrysoulakis

Proceedings Volume 11864, 1186404 (2021) https://doi.org/10.1117/12.2600277

KEYWORDS: Landsat, Earth observing sensors, Radiometry, Sensors, Clouds, Satellites, Temporal resolution, MODIS

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The Land Surface Temperature (LST) is among the Essential Climatic Variables defined by the World Meteorological Organization as it enables the monitoring of climate change and in extension can provide an insight about its causes and effects in urban areas. By taking advantage of all the Landsat satellites with thermal sensor, starting from Landsat 4 up to the most recent Landsat 8, we can produce extensive LST timeseries spanning from 1982 to present on global scale. The RSLab has developed in 2017 an application that calculates Landsat LST on-the-fly with configurable emissivity sources. It is built upon Google cloud with the use of Google Earth Engine. It requires no data input, process power from the users or installation of third-party applications, making it very lightweight and fast. It uses a single channel algorithm LST calculation for the whole Landsat archive. USGS Landsat Collection 2 surface temperature product was made available in December 2020 after the initial provisional product which covered only the United States. With the new product available we are able to further validate the RSLab LST within cities and compare it against the USGS one. Radiometers mounted on towers in the center of Heraklion and Basel are used to gather in-situ data for the LSTs assessment. The web application is accessible through: rslab.gr/downloads_LandsatLST.html

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