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Modelling of expansion changes of Vilnius city area and impacts on landscape patterns using an artificial neural network

Mirsanjari Mir Mehrdad, Suziedelyte-Visockiene Jurate, Mohammadyari Fatemeh, Zarandian Ardavan

Ecological Chemistry and Engineering. S

2021

Vol. 28, nr 3

429--447

The present study aimed to analyse changes in the land cover of Vilnius city and its surrounding areas and propose a scenario for their future changes using an Artificial Neural Network. The land cover dynamics modelling was based on a multilayer perceptron neural network. Landscape metrics at a class and landscape level were evaluated to determine the amount of changes in the land uses. As the results showed, the Built-up area class increased, while the forest (Semi forest and Dense forest) classes decreased during the period from 1999 to 2019. The predicted scenario showed a considerable increase of about 60 % in the Built-up area until 2039. The vegetation plant areas consist about 47 % of all the area in 2019, but it will be 36 % in 2039, if this trend (urban expansion) continues in the further. The findings further indicated the major urban expansion in the vegetation areas. However, Built-up area would expand over Semi forest land and Dense forest land, with a large part of them changed into built- up areas.

Methods of the mathematical morphology of landscape

Victorov Aleksey S.

Prace Komisji Krajobrazu Kulturowego

2008

nr 9

104--127

The paper discusses the mathematical morphology of landscape, which is a branch of the landscape science dealing with quantitative laws for the Earth surface mosaics, formed by natural units (bogs, aeolian ridges, karst, etc.), and mathematical methods of their analysis. The mathematical models are a core of the mathematical morphology of landscape. A mathematical model of a landscape pattern is a set of mathematical dependences reflecting most essential geometric characteristics of a landscape. The theory of random processes is a base for the mathematical models of morphological patterns. They appear to be an indivisible integral base for solving various tasks. The landscape researches, which deal with landscape metrics, new landscape laws, risk assessment, and development dynamics, are in need of the quantitative analysis of spatial landscape patterns.