Evaluating the aesthetic quality of the landscape in the environment: A Review of the Concepts and Scientific Developments in the World

Document Type: Research Paper

Authors

1 Dept. of Natural Environment and Biodiversity, College of Environment, Karaj-Iran.

2 PhD Student in Rangeland Ecology, College of Natural Resources, University of Tehran.

3 Department of Environmental Engineering, Central Tehran Branch, Islamic Azad University, Tehran-Iran.

Abstract

Landscape will affect people’s perception of the environment, so people’s behavior will change in the environment. Landscape recognition and accurate assessment of this area provide optimal planning and management of the land and have provided extensive studies in recent years around the world. While this article has observed various stages of scientific research, it also has pursued micro or macro ideas containing in previous works and has sought how changes  in the aesthetic quality estimation of landscape methods over time in  various scientific fields.  landscape beauty is the result of the interaction between the biophysical characteristics and human  observation, which leads to methods based on perception (subjective) and expertise (objective)  to assess landscape beauty. Since there is a complicated relationship between landscape perception and landscapes experiencing through a range of personal perspectives and perceptions, mental evaluation is usually dealing with challenges. The most significant benefit of assessment is based on its specialized efficiency, which  uses automated methods to evaluate at a  wider level. However, expert-based evaluations do not achieve high accuracy since they are highly dependent on  specific knowledge and  evaluator's judgment. Assessing the aesthetic quality of the landscape by integrating approaches and using comprehensive methods will lead to favorable results. Implementation of advanced tools and techniques such as GIS, Remote Sensing, Mathematical modeling, and Artificial intelligence in  assessing the aesthetic quality of the landscape will enhance the accuracy and speed of the results.

Keywords


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