MAT: GIS-Based Morphometry Assessment Tools for Concave Landforms
The rapid development of remote sensing technology for obtaining high-resolution digital elevation models (DEMs) in recent years has made them more and more widely available and has allowed them to be used for morphometric assessment of concave landforms, such as valleys, gullies, glacial cirques, s...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-07-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/13/14/2810 |
| _version_ | 1827686912542900224 |
|---|---|
| author | Joanna Gudowicz Renata Paluszkiewicz |
| author_facet | Joanna Gudowicz Renata Paluszkiewicz |
| author_sort | Joanna Gudowicz |
| collection | DOAJ |
| description | The rapid development of remote sensing technology for obtaining high-resolution digital elevation models (DEMs) in recent years has made them more and more widely available and has allowed them to be used for morphometric assessment of concave landforms, such as valleys, gullies, glacial cirques, sinkholes, craters, and others. The aim of this study was to develop a geographic information systems (GIS) toolbox for the automatic extraction of 26 morphometric characteristics, which include the geometry, hypsometry, and volume of concave landforms. The Morphometry Assessment Tools (MAT) toolbox in the ArcGIS software was developed. The required input data are a digital elevation model and the form boundary as a vector layer. The method was successfully tested on an example of 21 erosion-denudation valleys located in the young glacial area of northwest Poland. Calculations were based on elevation data collected in the field and LiDAR data. The results obtained with the tool showed differences in the assessment of the volume parameter at the average level of 12%, when comparing the field data and LiDAR data. The algorithm can also be applied to other types of concave forms, as well as being based on other DEM data sources, which makes it a universal tool for morphometric evaluation. |
| first_indexed | 2024-03-10T09:24:22Z |
| format | Article |
| id | doaj.art-19e6ff7e7ac24f868f5703c7126c24fa |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T09:24:22Z |
| publishDate | 2021-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-19e6ff7e7ac24f868f5703c7126c24fa2023-11-22T04:52:46ZengMDPI AGRemote Sensing2072-42922021-07-011314281010.3390/rs13142810MAT: GIS-Based Morphometry Assessment Tools for Concave LandformsJoanna Gudowicz0Renata Paluszkiewicz1Institute of Geoecology and Geoinformation, Adam Mickiewicz University in Poznań, Krygowskiego 10, 61-680 Poznań, PolandInstitute of Geoecology and Geoinformation, Adam Mickiewicz University in Poznań, Krygowskiego 10, 61-680 Poznań, PolandThe rapid development of remote sensing technology for obtaining high-resolution digital elevation models (DEMs) in recent years has made them more and more widely available and has allowed them to be used for morphometric assessment of concave landforms, such as valleys, gullies, glacial cirques, sinkholes, craters, and others. The aim of this study was to develop a geographic information systems (GIS) toolbox for the automatic extraction of 26 morphometric characteristics, which include the geometry, hypsometry, and volume of concave landforms. The Morphometry Assessment Tools (MAT) toolbox in the ArcGIS software was developed. The required input data are a digital elevation model and the form boundary as a vector layer. The method was successfully tested on an example of 21 erosion-denudation valleys located in the young glacial area of northwest Poland. Calculations were based on elevation data collected in the field and LiDAR data. The results obtained with the tool showed differences in the assessment of the volume parameter at the average level of 12%, when comparing the field data and LiDAR data. The algorithm can also be applied to other types of concave forms, as well as being based on other DEM data sources, which makes it a universal tool for morphometric evaluation.https://www.mdpi.com/2072-4292/13/14/2810morphometryDEMLiDARArcGISGIS toolboxconcave landforms |
| spellingShingle | Joanna Gudowicz Renata Paluszkiewicz MAT: GIS-Based Morphometry Assessment Tools for Concave Landforms Remote Sensing morphometry DEM LiDAR ArcGIS GIS toolbox concave landforms |
| title | MAT: GIS-Based Morphometry Assessment Tools for Concave Landforms |
| title_full | MAT: GIS-Based Morphometry Assessment Tools for Concave Landforms |
| title_fullStr | MAT: GIS-Based Morphometry Assessment Tools for Concave Landforms |
| title_full_unstemmed | MAT: GIS-Based Morphometry Assessment Tools for Concave Landforms |
| title_short | MAT: GIS-Based Morphometry Assessment Tools for Concave Landforms |
| title_sort | mat gis based morphometry assessment tools for concave landforms |
| topic | morphometry DEM LiDAR ArcGIS GIS toolbox concave landforms |
| url | https://www.mdpi.com/2072-4292/13/14/2810 |
| work_keys_str_mv | AT joannagudowicz matgisbasedmorphometryassessmenttoolsforconcavelandforms AT renatapaluszkiewicz matgisbasedmorphometryassessmenttoolsforconcavelandforms |