Assessment of Landscape Character and Absorptivity Based on Digital Terrain Model Analysis—Case Study of Jelenia Góra City in Poland

Grzegorz Budzik and Piotr Krajewski
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Grzegorz Budzik: Department of Architecture, Wroclaw University of Science and Technology, 50-370 Wrocław, Poland
Piotr Krajewski: Institute of Spatial Management, Wroclaw University of Environmental and Life Sciences, 50-357 Wrocław, Poland

Sustainability, 2021, vol. 13, issue 14, 1-26

Abstract: In an era of significant growth in the availability of spatial data and continued advances in computing technologies, opportunities for new interpretations and solutions to the landscape research problems posed worldwide are emerging. This paper presents different possibilities of applying digital terrain model (DTM) data in research of various aspects of landscape. For this purpose, two different methods were proposed. The first was to identify a set of components of the Jelenia Góra city landscape character on the basis of the topographic position index and spatial distribution of land cover, while the second was to assess the landscape of Jelenia Góra city in terms of the possibility of adopting new elements, using the author’s scenic absorptivity method. The results indicate the structure of the components of the landscape character of Jelenia Góra city together with its spatial distribution, which also allowed for the delineation of landscape units. The scenic absorptivity analysis showed that there are isolated areas within Jelenia Góra city that are capable of accommodating significant size elements that would not adversely affect the city landscape. In conclusion, DTM data are able to significantly improve research methods in landscape studies.

Keywords: digital terrain model; scenic absorptivity; landscape capacity; visual absorption capability; topographic position index; landform classification; landscape valorization; landscape characteristics (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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