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Volume 14
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10.3390/rs14010203
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Article

The Use of Remote Sensing to Quantitatively Assess the Visual Effect of Urban Landscape—A Case Study of Zhengzhou, China

by
Chaofan Xi
1,†,
Yulong Guo
2,3,†,
Ruizhen He
4,
Bo Mu
2,3,
Peixuan Zhang
5 and
Yuan Li
6,*
1
School of Water Conservancy Engineering, Zhengzhou University, Zhengzhou 450002, China
2
College of Resources and Environmental Sciences, Henan Agricultural University, Zhengzhou 450002, China
3
Human Engineering Research Center of Land Consolidation and Ecological Restoration, Henan Agricultural University, Zhengzhou 450002, China
4
College of Landscape Architecture and Art, Henan Agricultural University, Zhengzhou 450002, China
5
School of Architecture, Design and Planning, The University of Sydney, Sydney, NSW 2006, Australia
6
School of Tourism and Urban & Rural Planning, Zhejiang Gongshang University, Hangzhou 310018, China
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this study and shared the first authorship.
Remote Sens. 2022, 14(1), 203; https://doi.org/10.3390/rs14010203
Submission received: 2 December 2021 / Revised: 24 December 2021 / Accepted: 30 December 2021 / Published: 3 January 2022
(This article belongs to the Special Issue Remote Sensing Approaches to Landscape Analysis of Urban and Peri-Urban Environments)
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Abstract

The landscape visual effect of a city, which is generated by its long-term development, is an important index in city planning. In this study, we build a quantitative evaluation and remote sensing estimation scheme of landscape visual effect. The study contains two main steps. First, utilizing the Elo rating system and in situ sampled panoramic pictures, the quantitative assessment of the city landscape visual effect was carried out. Then, the landscape visual effect estimation model was built and applied to Landsat remote sensing image to generate the spatial distribution of landscape visual effect in Zhengzhou city, 2017. At last, the effect of different combination of land use and elevation to the landscape visual effect was discussed. The results showed the following: (1) the Elo rating system is an effective method to quantitatively evaluate the city landscape visual effect; (2) the landscape visual effect remote sensing estimation model had a good performance, with the mean absolute percentage error (MAPE) and root mean square error (RMSE) of the model are less than 0.05 and 80, respectively; (3) the landscape visual effect score of Zhengzhou city, 2017, was high in the southwest and low in the northeast; (4) different land use situation and average surface elevation had a complex influence on the landscape visual effect.
Keywords: city landscape visual effect; Elo rating system; remote sensing estimation city landscape visual effect; Elo rating system; remote sensing estimation
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MDPI and ACS Style

Xi, C.; Guo, Y.; He, R.; Mu, B.; Zhang, P.; Li, Y. The Use of Remote Sensing to Quantitatively Assess the Visual Effect of Urban Landscape—A Case Study of Zhengzhou, China. Remote Sens. 2022, 14, 203. https://doi.org/10.3390/rs14010203

AMA Style

Xi C, Guo Y, He R, Mu B, Zhang P, Li Y. The Use of Remote Sensing to Quantitatively Assess the Visual Effect of Urban Landscape—A Case Study of Zhengzhou, China. Remote Sensing. 2022; 14(1):203. https://doi.org/10.3390/rs14010203

Chicago/Turabian Style

Xi, Chaofan, Yulong Guo, Ruizhen He, Bo Mu, Peixuan Zhang, and Yuan Li. 2022. "The Use of Remote Sensing to Quantitatively Assess the Visual Effect of Urban Landscape—A Case Study of Zhengzhou, China" Remote Sensing 14, no. 1: 203. https://doi.org/10.3390/rs14010203

APA Style

Xi, C., Guo, Y., He, R., Mu, B., Zhang, P., & Li, Y. (2022). The Use of Remote Sensing to Quantitatively Assess the Visual Effect of Urban Landscape—A Case Study of Zhengzhou, China. Remote Sensing, 14(1), 203. https://doi.org/10.3390/rs14010203

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