Large Scale Landform Mapping Using Lidar DEM

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Gökgöz T., Baker M. K. M.

ISPRS International Journal of Geo-Information, cilt.4, ss.1336-1345, 2015 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 4
  • Basım Tarihi: 2015
  • Doi Numarası: 10.3390/ijgi4031336
  • Dergi Adı: ISPRS International Journal of Geo-Information
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1336-1345
  • Anahtar Kelimeler: DEM, generalization, GIS, landform classification, LIDAR, minimum area
  • Yıldız Teknik Üniversitesi Adresli: Evet

Özet

In this study, LIDAR DEM data was used to obtain a primary landform map in accordance with a well-known methodology. This primary landform map was generalized using the Focal Statistics tool (Majority), considering the minimum area condition in cartographic generalization in order to obtain landform maps at 1: 1000 and 1: 5000 scales. Both the primary and the generalized landform maps were verified visually with hillshaded DEM and an orthophoto. As a result, these maps provide satisfactory visuals of the landforms. In order to show the effect of generalization, the area of each landform in both the primary and the generalized maps was computed. Consequently, landform maps at large scales could be obtained with the proposed methodology, including generalization using LIDAR DEM.