Spatial Characterization of Landscapes through Multifractal Analysis of DEM
Landscape evolution is driven by abiotic, biotic, and anthropic factors. The interactions among these factors and their influence at different scales create a complex dynamic. Landscapes have been shown to exhibit numerous scaling laws, from Horton’s laws to more sophisticated scaling of heights in...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
|
| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/563038 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832556242780815360 |
|---|---|
| author | P. L. Aguado J. P. Del Monte R. Moratiel A. M. Tarquis |
| author_facet | P. L. Aguado J. P. Del Monte R. Moratiel A. M. Tarquis |
| author_sort | P. L. Aguado |
| collection | DOAJ |
| description | Landscape evolution is driven by abiotic, biotic, and anthropic factors. The interactions among these factors and their influence at different scales create a complex dynamic. Landscapes have been shown to exhibit numerous scaling laws, from Horton’s laws to more sophisticated scaling of heights in topography and river network topology. This scaling and multiscaling analysis has the potential to characterise the landscape in terms of the statistical signature of the measure selected. The study zone is a matrix obtained from a digital elevation model (DEM) (map 10 × 10 m, and height 1 m) that corresponds to homogeneous region with respect to soil characteristics and climatology known as “Monte El Pardo” although the water level of a reservoir and the topography play a main role on its organization and evolution. We have investigated whether the multifractal analysis of a DEM shows common features that can be used to reveal the underlying patterns and information associated with the landscape of the DEM mapping and studied the influence of the water level of the reservoir on the applied analysis. The results show that the use of the multifractal approach with mean absolute gradient data is a useful tool for analysing the topography represented by the DEM. |
| format | Article |
| id | doaj-art-16eb1baf12434cc3a7ede83714f95f40 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-16eb1baf12434cc3a7ede83714f95f402025-02-03T05:45:56ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/563038563038Spatial Characterization of Landscapes through Multifractal Analysis of DEMP. L. Aguado0J. P. Del Monte1R. Moratiel2A. M. Tarquis3Departamento de Producción Vegetal, Botánica, E.T.S.I.A., UPM, 28040 Madrid, SpainDepartamento de Producción Vegetal, Botánica, E.T.S.I.A., UPM, 28040 Madrid, SpainDepartamento de Producción Vegetal, Fitotecnia, E.T.S.I.A., UPM, 28040 Madrid, SpainCEIGRAM, E.T.S.I.A., UPM, 28040 Madrid, SpainLandscape evolution is driven by abiotic, biotic, and anthropic factors. The interactions among these factors and their influence at different scales create a complex dynamic. Landscapes have been shown to exhibit numerous scaling laws, from Horton’s laws to more sophisticated scaling of heights in topography and river network topology. This scaling and multiscaling analysis has the potential to characterise the landscape in terms of the statistical signature of the measure selected. The study zone is a matrix obtained from a digital elevation model (DEM) (map 10 × 10 m, and height 1 m) that corresponds to homogeneous region with respect to soil characteristics and climatology known as “Monte El Pardo” although the water level of a reservoir and the topography play a main role on its organization and evolution. We have investigated whether the multifractal analysis of a DEM shows common features that can be used to reveal the underlying patterns and information associated with the landscape of the DEM mapping and studied the influence of the water level of the reservoir on the applied analysis. The results show that the use of the multifractal approach with mean absolute gradient data is a useful tool for analysing the topography represented by the DEM.http://dx.doi.org/10.1155/2014/563038 |
| spellingShingle | P. L. Aguado J. P. Del Monte R. Moratiel A. M. Tarquis Spatial Characterization of Landscapes through Multifractal Analysis of DEM The Scientific World Journal |
| title | Spatial Characterization of Landscapes through Multifractal Analysis of DEM |
| title_full | Spatial Characterization of Landscapes through Multifractal Analysis of DEM |
| title_fullStr | Spatial Characterization of Landscapes through Multifractal Analysis of DEM |
| title_full_unstemmed | Spatial Characterization of Landscapes through Multifractal Analysis of DEM |
| title_short | Spatial Characterization of Landscapes through Multifractal Analysis of DEM |
| title_sort | spatial characterization of landscapes through multifractal analysis of dem |
| url | http://dx.doi.org/10.1155/2014/563038 |
| work_keys_str_mv | AT plaguado spatialcharacterizationoflandscapesthroughmultifractalanalysisofdem AT jpdelmonte spatialcharacterizationoflandscapesthroughmultifractalanalysisofdem AT rmoratiel spatialcharacterizationoflandscapesthroughmultifractalanalysisofdem AT amtarquis spatialcharacterizationoflandscapesthroughmultifractalanalysisofdem |