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.
Highlights
The digital terrain model (DTM) is a numerical representation of a terrain surface created by a set of appropriately selected points lying on this surface and interpolation algorithms enabling its reconstruction in a specified area [1]
The most commonly used terms include the digital elevation model (DEM)—which contains the elevation of the actual land surface [3,4,5,6,7,8,9,10,11,12]—and the digital situation model (DSM), representing the shape of the surface spanned by objects on the land surface or directly on the terrain [2,13,14,15]
This paper proposes two methods for using DTM data in landscape research
Summary
The digital terrain model (DTM) is a numerical representation of a terrain surface created by a set of appropriately selected points lying on this surface and interpolation algorithms enabling its reconstruction in a specified area [1]. The terms DSM (for a model with land cover) and DEM (for a model without land cover) are used to denote information on the content of land cover elements in the model. In this sense, both terms constitute a DTM
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