Drone-based digital terrain model for the classification of karst topography texture
Joint Authors
Doumit, Jean A.
Ghanim, Diyala F.
Source
Études Universitaires en Littératures et Sciences Humaines
Issue
Vol. 2020, Issue 5 (30 Sep. 2020), pp.58-66, 9 p.
Publisher
Publication Date
2020-09-30
Country of Publication
Lebanon
No. of Pages
9
Main Subjects
Abstract EN
Karst topography is represented in high spatial resolution digital surface models based on drones photogrammetry and Geographic Information Systems (GIS) methods to effectively describe, evaluate and quantify karst topography texture.
The purpose of this paper is to delineate and qualified karst topography roughness zones in Jaj region of Lebanon.
The selected parameters such as Topographic Roughness Index (TRI), Fractal dimensions and Wombling method are combined and classified to form a karst topography zoning map.
The similarity of these parameters is tested in a correlation analysis; then combine together to forms the karst topography texture map.
Besides orthoimages and site visits for the validation of the resulted map, a comparison with the generated Iwahashi and Pike landform classification raster prove the delineation in four karst zones: slight, moderate, high and very high textures.
American Psychological Association (APA)
Doumit, Jean A.& Ghanim, Diyala F.. 2020. Drone-based digital terrain model for the classification of karst topography texture. Études Universitaires en Littératures et Sciences Humaines،Vol. 2020, no. 5, pp.58-66.
https://search.emarefa.net/detail/BIM-1337427
Modern Language Association (MLA)
Doumit, Jean A.& Ghanim, Diyala F.. Drone-based digital terrain model for the classification of karst topography texture. Études Universitaires en Littératures et Sciences Humaines No. 5 (2020), pp.58-66.
https://search.emarefa.net/detail/BIM-1337427
American Medical Association (AMA)
Doumit, Jean A.& Ghanim, Diyala F.. Drone-based digital terrain model for the classification of karst topography texture. Études Universitaires en Littératures et Sciences Humaines. 2020. Vol. 2020, no. 5, pp.58-66.
https://search.emarefa.net/detail/BIM-1337427
Data Type
Journal Articles
Language
English
Notes
Record ID
BIM-1337427