DEVELOPING OF RASTERIAL DATABASE FOR LAND SURFACE TEMPERATURE IN MITROVICA MUNICIPALITY

Session

Civil Engineering, Infrastructure and Environment

Description

Rapid changes of land cover in the world, have become a major environmental concern. Therefore, monitoring change in land use and land cover is an important component in monitoring of Land Surface Temperature (LST) changes.

In this context, the main goal of the present study is to explore the potential of Landsat-derived LST in heterogeneous ecosystems of urban areas and green areas (vegetation). The study is focused to determine the changes in the temperature of the land surface in last two decades, by making a spatial and temporal analysis in Mitrovica municipality. In order to generate the Land Surface Temperature (LST) for two time series (2000 and 2020), were obtained 30m Landsat 5 (5 August 2000) and Landsat 8 (5 August 2020) datasets, provided by the US Geological Survey (USGS) through EarthExplorer. The input data were processed and harmonized using QGIS software. The validation of the results were done by comparing with the Land Use and Land Cover (LULC), as well as by comparing with the air temperature data.

Overall, the geospatial technologies used in the present study, proved effective approaches for monitoring and analyzing data on spatial and temporal changes in Land Surface Temperature (LST) in Mitrovica.

Keywords:

Environmental monitoring, Land Surface Temperature, Landsat datasets, Time series, Mitrovica municipality.

Proceedings Editor

Edmond Hajrizi

ISBN

978-9951-550-50-5

Location

UBT Kampus, Lipjan

Start Date

29-10-2022 12:00 AM

End Date

30-10-2022 12:00 AM

DOI

10.33107/ubt-ic.2022.198

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Oct 29th, 12:00 AM Oct 30th, 12:00 AM

DEVELOPING OF RASTERIAL DATABASE FOR LAND SURFACE TEMPERATURE IN MITROVICA MUNICIPALITY

UBT Kampus, Lipjan

Rapid changes of land cover in the world, have become a major environmental concern. Therefore, monitoring change in land use and land cover is an important component in monitoring of Land Surface Temperature (LST) changes.

In this context, the main goal of the present study is to explore the potential of Landsat-derived LST in heterogeneous ecosystems of urban areas and green areas (vegetation). The study is focused to determine the changes in the temperature of the land surface in last two decades, by making a spatial and temporal analysis in Mitrovica municipality. In order to generate the Land Surface Temperature (LST) for two time series (2000 and 2020), were obtained 30m Landsat 5 (5 August 2000) and Landsat 8 (5 August 2020) datasets, provided by the US Geological Survey (USGS) through EarthExplorer. The input data were processed and harmonized using QGIS software. The validation of the results were done by comparing with the Land Use and Land Cover (LULC), as well as by comparing with the air temperature data.

Overall, the geospatial technologies used in the present study, proved effective approaches for monitoring and analyzing data on spatial and temporal changes in Land Surface Temperature (LST) in Mitrovica.