Identifying the Land Use Land Cover (LULC) changes in Pristina, (Kosova) using “Machine Learning" and “Remote Sensing" techniques
Session
Civil Engineering, Infrastructure and Environment
Description
In the last decade, the number of residents living in urban areas has increased rapidly, and in this way green surfaces are being cut more and more. Changes in land use categories, respectively the conversion of vegetated and green lands into urban areas, affects the changes of the Land Use and Land Cover (LULC). Nowadays, the environmental monitoring and assessment can be done easily from the satellites which provide access to the Earth Observations.
The present study is aimed to develop the assessment of LULC of Pristina Municipality in Kosova using Geospatial Technologies, precisely Remote Sensing (RS), Machine Learning (ML) and Geographic Information System (GIS). The Remote sensing products were used as input data, including multi-spectral Landsat 5 and Landsat 8 datasets in the raster format with 30m spatial resolution. The analysis were performed for four time series, including 1991, 2001, 2011 and 2021.
The data validation process was done through the matrix of confusion, as well as was done the data publishing on a web browser with the intention of visual comparison between time series raster thematic maps.
The present approach emphasis the great potential for analysis the Land Use and Land Cover (LULC), in order to meet the goal of the sustainable development in the capital of Kosova, Pristina.
Keywords:
Land Use Land Cover, Satellite Images, Machine Learning, Thematic Maps.
Proceedings Editor
Edmond Hajrizi
ISBN
978-9951-550-95-6
Location
UBT Lipjan, Kosovo
Start Date
28-10-2023 8:00 AM
End Date
29-10-2023 6:00 PM
DOI
10.33107/ubt-ic.2023.344
Recommended Citation
Maliqi, Edon and Hajdini, Lulzim, "Identifying the Land Use Land Cover (LULC) changes in Pristina, (Kosova) using “Machine Learning" and “Remote Sensing" techniques" (2023). UBT International Conference. 8.
https://knowledgecenter.ubt-uni.net/conference/IC/civil/8
Identifying the Land Use Land Cover (LULC) changes in Pristina, (Kosova) using “Machine Learning" and “Remote Sensing" techniques
UBT Lipjan, Kosovo
In the last decade, the number of residents living in urban areas has increased rapidly, and in this way green surfaces are being cut more and more. Changes in land use categories, respectively the conversion of vegetated and green lands into urban areas, affects the changes of the Land Use and Land Cover (LULC). Nowadays, the environmental monitoring and assessment can be done easily from the satellites which provide access to the Earth Observations.
The present study is aimed to develop the assessment of LULC of Pristina Municipality in Kosova using Geospatial Technologies, precisely Remote Sensing (RS), Machine Learning (ML) and Geographic Information System (GIS). The Remote sensing products were used as input data, including multi-spectral Landsat 5 and Landsat 8 datasets in the raster format with 30m spatial resolution. The analysis were performed for four time series, including 1991, 2001, 2011 and 2021.
The data validation process was done through the matrix of confusion, as well as was done the data publishing on a web browser with the intention of visual comparison between time series raster thematic maps.
The present approach emphasis the great potential for analysis the Land Use and Land Cover (LULC), in order to meet the goal of the sustainable development in the capital of Kosova, Pristina.