Research on Evaluating the Characteristics of the Rural Landscape of Zhanqi Village, Chengdu, China, Based on Oblique Aerial Photography by Unmanned Aerial Vehicles

Chunyan Zhu (), Rong Li, Jinming Luo, Xi Li, Juan Du, Jun Ma, Chaoping Hou and Weizhen Zeng
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Chunyan Zhu: College of Landscape Architecture, Sichuan Agricultural University, Chengdu 611130, China
Rong Li: College of Landscape Architecture, Sichuan Agricultural University, Chengdu 611130, China
Jinming Luo: College of Landscape Architecture, Sichuan Agricultural University, Chengdu 611130, China
Xi Li: College of Landscape Architecture, Sichuan Agricultural University, Chengdu 611130, China
Juan Du: College of Landscape Architecture, Sichuan Agricultural University, Chengdu 611130, China
Jun Ma: College of Landscape Architecture, Sichuan Agricultural University, Chengdu 611130, China
Chaoping Hou: College of Landscape Architecture, Sichuan Agricultural University, Chengdu 611130, China
Weizhen Zeng: College of Landscape Architecture, Sichuan Agricultural University, Chengdu 611130, China

Sustainability, 2024, vol. 16, issue 12, 1-23

Abstract: To achieve the transition of rural areas from traditional to modern, the visualization of rural landscape data and feature evaluations are essential. Landscape character assessment (LCA) is a well-established tool that was developed to assess and understand rural landscape features. In recent years, drones have become increasingly attractive for various applications and services due to their low costs and relative ease of operation. Unlike most previous studies that relied solely on drone-based remote sensing or visual esthetic evaluations, this study proposes an innovative assessment method based on landscape characteristic assessment (LCA) and oblique drone photography technology, supported by specific data and survey results. These include various landscape metrics, such as the Shannon diversity index (SHDI), Shannon evenness index (SHEI), vegetation coverage, landscape character zoning, and delineations of various ecologically sensitive areas. This method was applied to study Zhanqi Village in Chengdu, Sichuan Province, China and revealed some unique characteristics of this village. By categorizing and describing the landscape features, the study makes judgments and decisions about them. This is a beneficial attempt to apply the scientific methods of landscape assessments to the production management of aerial drone surveys. This method provides a comprehensive framework for evaluating rural landscape features and demonstrates that the combination of LCA and oblique drone photography technology is feasible for rural landscape research. Additionally, this study emphasizes the need for further research to explore the potential application of this method in continuously evolving urban and rural environments in the future.

Keywords: landscape character assessment; landscape pattern; rural landscape construction; UAV oblique photography (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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