Quantification of urban greenery using hemisphere-view panoramas with a green cover index

Zhang, Yonglin; Li, Shanlin; Xiao, Fu; Dong, Rencai

doi:10.1080/20964129.2021.1929502

Cited by 12 publications

(3 citation statements)

References 60 publications

(81 reference statements)

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“…The results of the study showed that the panorama technology can comprehensively measure the street greening distribution information and guide the planning and management of the urban greening landscape [37]. Several studies have also explored the application of panorama techniques in the evaluation of different types of landscapes [1,28,29,38,39]. For example, Zhang et al used panoramic techniques to present natural landscape scenes to study participants' beauty evaluations of different landscape features (e.g., water, vegetation).…”

Section: Application Of Panoramic Techniques In Landscape Perception ...mentioning

confidence: 99%

“…For example, Zhang et al used panoramic techniques to present natural landscape scenes to study participants' beauty evaluations of different landscape features (e.g., water, vegetation). The results of the study showed that the panorama technique could provide more diverse scene information, enabling participants to more accurately evaluate the impact of different landscape features on beauty [28,29,38]. Additionally, Qin et al delved into the panorama technique's application in natural landscape perception.…”

Section: Application Of Panoramic Techniques In Landscape Perception ...mentioning

confidence: 99%

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Positive or Negative Viewpoint Determines the Overall Scenic Beauty of a Scene: A Landscape Perception Evaluation Based on a Panoramic View

Chen

Zhong

2023

Sustainability

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In the contemporary world, the swift advancement of urbanization, the pressing need for environmental conservation, and humanity’s unyielding quest for a better quality of life have jointly underscored the escalating importance of research on landscape aesthetics and perceptual experiences. Researchers have often evaluated the overall scene’s beauty based on photos taken from a single viewpoint. However, it has been observed that different viewpoints of the same scene can lead to varying degrees of beauty perception. Some positive viewpoints highlight landscape features that contribute to beauty preferences, while negative viewpoints emphasize aspects that may evoke discomfort and decrease perceived beauty. Therefore, a crucial question arises: which viewpoint, positive or negative, holds more influence over the overall beauty of the scene? This paper aimed to address this question by utilizing panoramic map technology to establish a landscape perception evaluation model. The model was based on empirical evidence from various spatial scenes along the Yaozijian Ancient Road in Anhua County, encompassing towns and villages. The study analyzed the functional relationship between landscape factors, positive and negative viewpoints, and the degree of scenic beauty. It was found that (1) it is difficult to reflect the overall scenic beauty of a scene (OSBS) of a single viewpoint photo, and both positive and negative viewpoints of scenic beauty have significant effects on the OSBS. In the empirical case study, it was found that the overall effect of a positive viewpoint of scenic beauty (PVSB) on OSBS was greater; (2) PVSB had a major effect on OSBS with a high visual hierarchy and cloud ratio and a low type of vegetation and proportion of man-made objects; (3) a negative viewpoint of scenic beauty (NVSB) had a major effect on OSBS with a low visual hierarchy of the landscape. The results of the study reveal the relationship between landscape factors of different viewpoints and the OSBS, which can be applied to landscape beauty evaluation and landscape planning and design processes.

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Section: Application Of Panoramic Techniques In Landscape Perception ...mentioning

confidence: 99%

Section: Application Of Panoramic Techniques In Landscape Perception ...mentioning

confidence: 99%

Positive or Negative Viewpoint Determines the Overall Scenic Beauty of a Scene: A Landscape Perception Evaluation Based on a Panoramic View

Chen

Zhong

2023

Sustainability

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“…Various evaluation indices have been proposed to quantify vegetation, including the normalized difference vegetation index (NDVI), leaf area index, living vegetation volume, green cover index, green visual ratio, and fractional vegetation cover [24][25][26][27][28][29]. NDVI is derived from a combination of linear and non-linear spectral bands, allowing it to capture the spatiotemporal growth and distribution of vegetation effectively.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Variation and Pattern Analysis of Air Pollution and Its Correlation with NDVI in Nanjing City, China: A Landsat-Based Study

Sheng,

Ji,

Zhou

et al. 2023

Forests

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The rapid socio-economic development and urbanization in China have led to a decline in air quality. Therefore, the spatial and temporal distribution patterns of urban air pollution, as well as its formation mechanisms and influencing factors, have become important areas of research in atmospheric environment studies. This paper focuses on nine monitoring sites in Nanjing, where concentration data for six air pollutants and vegetation index data were collected from 2013 to 2021. The objective of this study is to investigate the changes in air pollutants and vegetation index over time and space, as well as their relationship with each other, and to assess the social and environmental impacts of air pollution. The findings reveal a spatial distribution pattern of air pollution in Nanjing that exhibits significant variability, with pollutant concentrations decreasing from the city center towards the surrounding areas. Notably, the main urban area has lower air quality compared to the peripheral regions. The results obtained from best-fit linear regression models and correlation heatmaps demonstrate a strong correlation (coefficient of determination, R2 > 0.5) between the normalized difference vegetation index (NDVI) and pollutants such as SO2, NO2, PM2.5, PM10, and O3 within a radial distance of 2 km from the air pollutant monitoring sites. These findings indicate that NDVI can be an effective indicator for assessing the distribution and concentrations of air pollutants. Negative correlations between NDVI and socio-economic indicators are observed under relatively consistent natural conditions, including climate and terrain. Therefore, the spatiotemporal distribution patterns of NDVI can provide valuable insights not only into socio-economic growth but also into the levels and locations of air pollution concentrations.

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Quantifying physical and psychological perceptions of urban scenes using deep learning

Zhang

Dong

et al. 2021

Land Use Policy

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Quantification of urban greenery using hemisphere-view panoramas with a green cover index

Abstract: Quantification of urban greenery using hemisphere-view panoramas with a green cover index Yonglin Zhang a (0000-0001-5432-8800), Shanlin Li b (0000-0002-0261-7106), Xiao Fu a

Cited by 12 publications

References 60 publications

Positive or Negative Viewpoint Determines the Overall Scenic Beauty of a Scene: A Landscape Perception Evaluation Based on a Panoramic View

Positive or Negative Viewpoint Determines the Overall Scenic Beauty of a Scene: A Landscape Perception Evaluation Based on a Panoramic View

Spatiotemporal Variation and Pattern Analysis of Air Pollution and Its Correlation with NDVI in Nanjing City, China: A Landsat-Based Study

Quantifying physical and psychological perceptions of urban scenes using deep learning

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