Landform Classification Using Aster Gdem And Optical High Resolution Satellite Images Of Sofia City District

Опубликовано: Bulgarian Academy of Sciences. Space Research and Technology Institute. Aerospace Research in Bulgaria. — 2013 — №25 — рр. 183-193The morphologic and morphometric landform information plays a significant role in the spatial and temporal analysis and modeling of the landscape and affects the course of the natural processes. The geoinformation technologies provide for performing digital terrain analysis and extraction of a series of morphometric parameters and landform elements. The compound geomorphologic analysis and interpretation can be performed through various algorithms incorporated in the GIS software product. The objective of the present study was to classify the landform elements and to describe landform complexity of Sofia City District based on ASTER GDEM and satellite images. TPI-based algorithm for landform classification will be applied and the terrain heterogeneity of the study area will be assessed. As a result of the performed spatial analysis maps of the topographic position index and landform classification map were elaborated.