Data-Driven Optimization Reveals the Impact of Urban Heat Island Effect on the Retrofit Potential of Building Envelopes DOI

Renge Li,

Chenyu Huang,

Wenli Xin

и другие.

Building and Environment, Год журнала: 2024, Номер unknown, С. 112367 - 112367

Опубликована: Ноя. 1, 2024

Язык: Английский

Revealing the roles of climate, urban form, and vegetation greening in shaping the land surface temperature of urban agglomerations in the Yangtze River Economic Belt of China DOI

X. Liu,

Liang Zheng, Ying Wang

и другие.

Journal of Environmental Management, Год журнала: 2025, Номер 377, С. 124602 - 124602

Опубликована: Фев. 20, 2025

Язык: Английский

Процитировано

1
A cross-scale indicator framework for the study of annual stability of land surface temperature in different land uses DOI
Shuyang Zhang, Chao Yuan, Taihan Chen

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер unknown, С. 105936 - 105936

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

5
Comprehensive Comparative Analysis and Innovative Exploration of Green View Index Calculation Methods DOI Creative Commons

D.C. Yin,

Terumitsu HIRATA

Land, Год журнала: 2025, Номер 14(2), С. 289 - 289

Опубликована: Янв. 30, 2025

Despite the widespread use of street view imagery for Green View Index (GVI) analyses, variations in sampling methodologies across studies and potential impact these differences on results, including associated errors, remain largely unexplored. This study aims to investigate effectiveness various GVI calculation methods, with a focus analyzing point selection coverage angles results. Through systematic review extensive relevant literature, we synthesized six predominant methods: four-quadrant method, six-quadrant eighteen-quadrant panoramic fisheye method pedestrian method. We further evaluated strengths weaknesses each approach, along their applicability different research domains. In addition, address limitations existing methods specific contexts, developed novel technique based three 120° images experimentally validated its feasibility accuracy. The results demonstrate method’s high reliability, making it valuable tool acquiring images. Our findings that choice significantly influences calculations, underscoring necessity researchers select optimal approach context. To mitigate errors arising from initial angles, this introduces concept, “Green Circle”, which enhances precision calculations through meticulous segmentation observational particularly complex urban environments.

Язык: Английский

Процитировано

0
Constructing urban thermal environment networks using remote sensing data: A perspective based on LCZ and source-sink theory DOI Creative Commons
Yue Shi, Qiang Fan, Xiaonan Song

и другие.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Год журнала: 2025, Номер 18, С. 6382 - 6392

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
How campus green space elements differently influence students' thermal perception during transition seasons? DOI
Xidong Ma, Zhihao Zhang,

Yanmi Chen

и другие.

International Journal of Thermal Sciences, Год журнала: 2025, Номер 212, С. 109767 - 109767

Опубликована: Фев. 11, 2025

Язык: Английский

Процитировано

0
Optimizing Roadside Vegetation Using Deep Reinforcement Learning to Improve Thermal Environment DOI
Li Bin, Changxiu Cheng

Urban forestry & urban greening, Год журнала: 2025, Номер unknown, С. 128729 - 128729

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0
Data-Driven Optimization Reveals the Impact of Urban Heat Island Effect on the Retrofit Potential of Building Envelopes DOI

Renge Li,

Chenyu Huang,

Wenli Xin

и другие.

Building and Environment, Год журнала: 2024, Номер unknown, С. 112367 - 112367

Опубликована: Ноя. 1, 2024

Язык: Английский

Процитировано

2