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DETERMINATION OF LAND SURFACE TEMPERATURE USING SENTINEL - 3 SLTR DATA AND GEOGRAPHIC INFORMATION SYSTEM TECHNIQUES

Andreea Florina Jocea, Cătălina Cristea

First published: 2022-11-15https://doi.org/10.5593/sgem2022/2.1/s10.36View metrics

Abstract

In the era of rapid urbanization which has a great implication in converting the natural landscape into artificial surfaces, Land Surface Temperature (LST) is an important parameter which plays an important role in the studies of urban thermal environment, meteorological, hydrological and climatological applications and Global climate change. Data and images acquired from satellites offer information that can facilitate public and private decision - making. This study investigates the Land Surface Temperature (LST) determination in Bucharest city, which is the capital of Romania using geospatial data provided by the Sentinel - 3 SLTR instrument satellite mission and Geographic Information System techniques. For this purpose, were processed two images acquired on July 2020 and July 2021. The mapping result reveals that the surface temperature is around 32 - 50 Celsius degrees during summer period and had been recorded in the city center and in the industrial area of the city. The obtained temperature interval is reliable, comparing with the measurements realized by weather monitoring stations.

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Title
DETERMINATION OF LAND SURFACE TEMPERATURE USING SENTINEL - 3 SLTR DATA AND GEOGRAPHIC INFORMATION SYSTEM TECHNIQUES
Authors
Andreea Florina Jocea, Cătălina Cristea
Proceedings
SGEM International Multidisciplinary Scientific GeoConference- EXPO Proceedings; 22nd SGEM International Multidisciplinary Scientific GeoConference Proceedings 2022, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2022
Pages
315-322
SWS Citekey
Jocea202210315322
ISSN
1314-2704
ISBN
978-619-7603-40-8
Language
en
Publication type
Conference Paper
Proceedings contents
Open official contents
Keywords
Land Surface TemperatureRemote sensingGeographic Information SystemEarth Observation
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