Introducing GEOBIA to Landscape Imageability Assessment: A Multi-Temporal Case Study of the Nature Reserve “Kózki”, Poland

Chmielewski, Szymon; Bochniak, Andrzej; Natapov, Asya; Wężyk, Piotr

doi:10.3390/rs12172792

Cited by 11 publications

(4 citation statements)

References 111 publications

(137 reference statements)

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“…It suggests that we can build more green infrastructure until the green spaces could cover a part of sky spaces. In this way, the PLAND and LPI for green, and the LSI for sky spaces will increase and the ecological-landscape quality will reach a high level [49]. Additionally, the roads on the ring of Xiamen Island generally have lower-level street quality due to its simplex landscape and low occurrence of green spaces.…”

Section: Inspirations For Further Urban Constructionmentioning

confidence: 99%

Quantifying Ecological Landscape Quality of Urban Street by Open Street View Images: A Case Study of Xiamen Island, China

Dongxin

Liu

2022

Remote Sensing

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With the unprecedented urbanization processes around the world, cities have become the main areas of political, cultural, and economic creation, but these regions have also caused environmental degradation and even affected public health. Ecological landscape is considered as an important way to mitigate the impact of environmental exposure on urban residents. Therefore, quantifying the quality of urban road landscape and exploring its spatial heterogeneity to obtain basic data on the urban environment and provide ideas for urban residents to improve the environment will be a meaningful preparation for further urban planning. In this study, we proposed a framework to achieve automatic quantifying urban street quality by integrating a mass of street view images based on deep learning and landscape ecology. We conducted a case study in Xiamen Island and mapped a series of spatial distribution for ecological indicators including PLAND, LPI, AI, DIVISION, FRAC_MN, LSI and SHDI. Additionally, we quantified street quality by the entropy weight method. Our results showed the streetscape quality of the roundabout in Xiamen was relatively lower, while the central urban area presented a belt-shaped area with excellent landscape quality. We suggested that managers could build vertical greening on some streets around the Xiamen Island to improve the street quality in order to provide greater well-being for urban residents. In this study, it was found that there were still large uncertainties in the mechanism of environmental impact on human beings. We proposed to strengthen the in-depth understanding of the mechanism of environmental impact on human beings in the process of interaction between environment and human beings, and continue to form general models to enhance the ability of insight into the urban ecosystem.

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Section: Inspirations For Further Urban Constructionmentioning

confidence: 99%

Quantifying Ecological Landscape Quality of Urban Street by Open Street View Images: A Case Study of Xiamen Island, China

Dongxin

Liu

2022

Remote Sensing

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“…Such research is currently underway, for example the prototype of the Contemplative Landscape Automated Scoring System (CLASS), an artificial intelligence client, instantly scores any given digital image of a landscape according to the CLM features with an accuracy comparable to that of a trained expert [50]. There are also emerging automated approaches into landscape imageability focusing of extracting the smallest number of possible viewpoints [51]. Furthermore, research can develop new or enhance existing image processing algorithms to allow development of fully-automated applications.…”

Section: Summary Of Findings Contributions and Limitations Of The Studymentioning

confidence: 99%

Visual Quality Assessment of Urban Scenes with the Contemplative Landscape Model: Evidence from a Compact City Downtown Core

Yanru

Masoudi

Chadala³

et al. 2020

Remote Sensing

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In the face of rapid urbanization and the growing burden of mental health disease, there is a need to design cities with consideration for human mental health and well-being. There is an emerging body of evidence on the importance of everyday environmental exposures regarding the mental health of city inhabitants. For example, contemplative landscapes, through a series of neuroscience experiments, were shown to trigger improved mood and restoration of attention. While the Contemplative Landscape Model (CLM) for scoring landscape views was applied to single images, its suitability was never tested for walking paths and areas with a diversity of viewpoints. This study aims to fill this gap using the high-density downtown of Singapore, also known as a “City in a Garden” for its advanced urban greening strategies, as a case study. In this study, 68 360° photos were taken along four popular walking paths every 20 m. A photo set of 204 items was created by extracting three view angles from each photo. Each of them was independently scored by three experts and average CLM scores for each view and path were obtained. The results were then fed into an open-source Quantum Geographic Information System (QGIS) for visualization. Cohen’s kappa agreement between experts’ scores was computed. The outcomes were mapped to facilitate the identification of the most contemplative viewpoints and paths. Moreover, specific contemplative landscape patterns have been distinguished and assessed allowing the recommendation of design strategies to improve the quality of viewpoints and paths. The inter-rater agreement reached substantial to perfect values. CLM is a reliable and suitable tool that enables the fine-grained assessment and improvement of the visual quality of the urban living environments with consideration of the mental health and well-being of urbanites. It can be used at a larger scale owing to 360° photos taken from the pedestrian’s point of view. Utilizing spatially explicit maps in QGIS platforms enables a wider range of visualizations and allows for spatial patterns to be revealed that otherwise would have remained hidden. Our findings demonstrate the usefulness of our semi-automated method. Furthermore, given the high inter-rater agreement observed, we suggest that there is potential in developing fully automated methods.

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“…As evidenced from social media, the presence of particular CES use can be explained by using spatial remote sensing-based indicators of landscape conditions and attributes in statistical modelling frameworks (Vaz et al, 2020;Alemu et al, 2021). In this way, remote sensing provides a unique opportunity to quantify demanded landscape conditions, supplying valuable landscape experience (Ayad, 2005;Ozkan, 2014;Karasov et al, 2019;Chmielewski et al, 2020;Sowińska-Świerkosz and Michalik-Śniezek, 2020) yet unknown in the context of CES supply-demand relationships.…”

Section: Introductionmentioning

confidence: 99%

Beyond land cover: How integrated remote sensing and social media data analysis facilitates assessment of cultural ecosystem services

et al. 2022

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Introducing GEOBIA to Landscape Imageability Assessment: A Multi-Temporal Case Study of the Nature Reserve “Kózki”, Poland

Cited by 11 publications

References 111 publications

Quantifying Ecological Landscape Quality of Urban Street by Open Street View Images: A Case Study of Xiamen Island, China

Quantifying Ecological Landscape Quality of Urban Street by Open Street View Images: A Case Study of Xiamen Island, China

Visual Quality Assessment of Urban Scenes with the Contemplative Landscape Model: Evidence from a Compact City Downtown Core

Beyond land cover: How integrated remote sensing and social media data analysis facilitates assessment of cultural ecosystem services

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