Time series geospatial assessment of potential erosion risk using Gavrilovic method and open-access geospatial data

Session

Civil Engineering, Infrastructure and Environment

Description

One of the worldwide environmental concern is the soil loss or soil erosion. The present study aims to investigate spatial-temporal distribution of intensity or density of erosion processes in last 18 years (2000– 2018). The most used model in our region known as Gavrilovic model has been implemented. The model was implemented in two time series, annually. The input data such as geology, topography (DEM), land cover, stream network catchment have been collected and recorded from different local and freely geoportals and organizations. The validation of results was made through the regular field checks and observations. In the year 2000, the most of study was observed in the “High” (31%) and “Very High” (27%) category of erosion risk, whereas in the year 2018 the most of study area was observed as “Moderate” (40%) and “High” (27%) erosion risk category. Furthermore the present study demonstrates the potential of GIS in conjunction with open- access geospatial data in order to investigate the environmental degradation.

Keywords:

Time series, erosion risk, Gavrilovic method, open-access geospatial data, thematic maps

Session Chair

Anjeza Alaj Murati

Session Co-Chair

Arbëresha Kastrati

Proceedings Editor

Edmond Hajrizi

ISBN

978-9951-437-96-7

Location

Lipjan, Kosovo

Start Date

31-10-2020 3:30 PM

End Date

31-10-2020 5:00 PM

DOI

10.33107/ubt-ic.2020.78

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Oct 31st, 3:30 PM Oct 31st, 5:00 PM

Time series geospatial assessment of potential erosion risk using Gavrilovic method and open-access geospatial data

Lipjan, Kosovo

One of the worldwide environmental concern is the soil loss or soil erosion. The present study aims to investigate spatial-temporal distribution of intensity or density of erosion processes in last 18 years (2000– 2018). The most used model in our region known as Gavrilovic model has been implemented. The model was implemented in two time series, annually. The input data such as geology, topography (DEM), land cover, stream network catchment have been collected and recorded from different local and freely geoportals and organizations. The validation of results was made through the regular field checks and observations. In the year 2000, the most of study was observed in the “High” (31%) and “Very High” (27%) category of erosion risk, whereas in the year 2018 the most of study area was observed as “Moderate” (40%) and “High” (27%) erosion risk category. Furthermore the present study demonstrates the potential of GIS in conjunction with open- access geospatial data in order to investigate the environmental degradation.