Application of GIS for surface erosion model of Lithuania

Dėnas, Žydrūnas; Kumetaitis, Algirdas; Šliaupa, Saulius; Zakarevičius, Algimantas

Use this url to cite publication: https://hdl.handle.net/20.500.14911/138375

Application of GIS for surface erosion model of Lithuania

Details

Publication Type (CRIS)

Straipsnis recenzuojamoje užsienio tarptautinės konferencijos medžiagoje / Article in peer-reviewed foreign international conference proceedings (P1d)

Publication Type (eLABa)

Straipsnis recenzuotame konferencijos darbų leidinyje / Article published in peer-reviewed conference proceedings (P1d)

Author(s)

Author	Affiliation
Dėnas, Žydrūnas	Vilniaus universitetas	Lietuvos edukologijos universitetas
Kumetaitis, Algirdas	Geodezijos ir kadastro katedra / Department of Geodesy and Cadastre (0323)
Šliaupa, Saulius	Geologijos ir geografijos institutas
Zakarevičius, Algimantas	Aviacijos technologijų katedra / Department of Aviation Technologies (0838)

Title

Application of GIS for surface erosion model of Lithuania

[en]

Zydrunas Denas, Algirdas Kumetaitis, Saulius Sliaupa, Algimantas Zakarevičius

Is part of

33e Symposium International FESF Strasbourg : Recent Developments in Environmental Protection. Vol. 40, Social Strategies

Published In

Year	Start Page	End Page
2005	209	220

Publisher

Bern : Peter Lang, 2005

Publisher (trusted)

Peter Lang

Extent

p. 209-220

URI

URI
https://hdl.handle.net/20.500.14911/138375

Cited references

Science / Art Area

Technologijos mokslai / Technological sciences (T)

Field of Science / Art

Matavimų inžinerija / Measurement engineering (T010)

Geologija / Geology (N005)

Keywords (en)

Abstract (en)

Surface runoff and soil erosion are major threats to sustainable agriculture, therefore, mapping regional erosion risk is increasingly needed for land use management. Erosion results from the interaction of many different parameters that vary in space and time. The aim of this work is to develop a methodology based on application of GIS tools for the evaluation of erosion risk at national scale and incorporating different types of data. [...].