Measuring Naturalness and Complexity Using the Fractal Dimensions of Landscape Photographs

Research output: Contribution to journalArticleAcademicpeer-review


The fractal analysis of images is a common technique to study natural processes. Its appli-cation to landscape photographs, however, requires pre-processing which can produce widely different results. Using two categories of landscape scenes with different levels of vegetation, five types of image segmentation were compared and the resulting structures analysed with the box-counting method. The fractal dimensions estimated were compared and found to characterize either the naturalness or the complexity of the landscape scenes. This demonstrates the potential of fractal analysis for landscape perception studies, and offers a set of reliable methods to estimate the fractal dimensions of landscape photographs.
Original languageEnglish
Pages (from-to)328-335
JournalJournal of Digital Landscape Architecture
Publication statusPublished - 2018
Externally publishedYes
EventDigital Landscape Architecture 2018: Expanding the boundaries: Landscape Architecture in a bid data world - Munich-Freising, Germany
Duration: 30 May 20182 Jun 2018


Dive into the research topics of 'Measuring Naturalness and Complexity Using the Fractal Dimensions of Landscape Photographs'. Together they form a unique fingerprint.

Cite this