The effects of 2-D and 3-D urban landscape metrics on mean radiant temperature in hot-arid Phoenix and Tempe, Arizona, USA DOI Creative Commons
Ahmet Çilek, Müge Ünal, Ariane Middel

и другие.

Sustainable Cities and Society, Год журнала: 2023, Номер 101, С. 105116 - 105116

Опубликована: Дек. 16, 2023

Язык: Английский

Integrating remote sensing and geospatial big data for urban land use mapping: A review DOI Creative Commons

Jiadi Yin,

Jinwei Dong, Nicholas Hamm

и другие.

International Journal of Applied Earth Observation and Geoinformation, Год журнала: 2021, Номер 103, С. 102514 - 102514

Опубликована: Авг. 29, 2021

Remote Sensing (RS) has been used in urban mapping for a long time; however, the complexity and diversity of functional patterns are difficult to be captured by RS only. Emerging Geospatial Big Data (GBD) considered as supplement data, help contribute our understanding lands from physical aspects (i.e., land cover) socioeconomic use). Integrating GBD could an effective way combine with great potential high-quality use classification. In this study, we reviewed existing literature focused on state-of-the-art perspective categorization integrating GBD. Specifically, commonly features (e.g., spectral, textural, temporal, spatial features) spatial, semantic, sequence were identified analyzed The integration strategies categorized into feature-level (FI) decision-level (DI). To more specific, FI method integrates classifies types using integrated feature sets; DI processes independently then merges classification results based decision rules. We also discussed other critical issues, including analysis unit setting, parcel segmentation, labeling types, data integration. Our findings provide retrospect different GBD, integration, their pros cons, which define framework future better support planning, environment assessment, disaster monitoring traffic analysis.

Язык: Английский

Процитировано

134

Measuring the relationship between morphological spatial pattern of green space and urban heat island using machine learning methods DOI
Jinyao Lin,

Suixuan Qiu,

Xiujuan Tan

и другие.

Building and Environment, Год журнала: 2022, Номер 228, С. 109910 - 109910

Опубликована: Дек. 10, 2022

Язык: Английский

Процитировано

130

Relationship between urban landscape structure and land surface temperature: Spatial hierarchy and interaction effects DOI
Liang Zhou,

Fengning Hu,

Bo Wang

и другие.

Sustainable Cities and Society, Год журнала: 2022, Номер 80, С. 103795 - 103795

Опубликована: Фев. 18, 2022

Язык: Английский

Процитировано

84

Assessing the impact of fractional vegetation cover on urban thermal environment: A case study of Hangzhou, China DOI Open Access
Maomao Zhang,

Shukui Tan,

Cheng Zhang

и другие.

Sustainable Cities and Society, Год журнала: 2023, Номер 96, С. 104663 - 104663

Опубликована: Май 21, 2023

Язык: Английский

Процитировано

65

Landscape metrics in assessing how the configuration of urban green spaces affects their cooling effect: A systematic review of empirical studies DOI
Yilun Li, Chao Ren, Janice Ho

и другие.

Landscape and Urban Planning, Год журнала: 2023, Номер 239, С. 104842 - 104842

Опубликована: Июль 26, 2023

Язык: Английский

Процитировано

64

How do 2D/3D urban landscapes impact diurnal land surface temperature: Insights from block scale and machine learning algorithms DOI
Dongrui Han, Hongmin An, Hongyan Cai

и другие.

Sustainable Cities and Society, Год журнала: 2023, Номер 99, С. 104933 - 104933

Опубликована: Сен. 12, 2023

Язык: Английский

Процитировано

63

Quantifying the effects of 2D/3D urban landscape patterns on land surface temperature: A perspective from cities of different sizes DOI

Hongchao Xu,

Chunlin Li,

Yuanman Hu

и другие.

Building and Environment, Год журнала: 2023, Номер 233, С. 110085 - 110085

Опубликована: Фев. 7, 2023

Язык: Английский

Процитировано

58

Satellite-Derived Land Surface Temperature Dynamics in the Context of Global Change—A Review DOI Creative Commons
Philipp Reiners, José A. Sobrino,

Claudia Kuenzer

и другие.

Remote Sensing, Год журнала: 2023, Номер 15(7), С. 1857 - 1857

Опубликована: Март 30, 2023

Satellite-derived Land Surface Temperature (LST) dynamics have been increasingly used to study various geophysical processes. This review provides an extensive overview of the applications LST in context global change. By filtering a selection relevant keywords, total 164 articles from 14 international journals published during last two decades were analyzed based on location, research topic, applied sensor, spatio-temporal resolution and scale employed analysis methods. It was revealed that China USA most studied countries those had first author affiliations. The prominent topic Urban Heat Island (SUHI), while topics related climate change underrepresented. MODIS by far sensor system, followed Landsat. A relatively small number studies or continental scale. use highly determined periods: majority started around year 2000 thus period shorter than 25 years. following suggestions made increase utilization time series research: prolongation by, e.g., using AVHRR LST, better representation under clouds, comparison traditional measures, such as air temperature reanalysis variables, extension validation heterogenous sites.

Язык: Английский

Процитировано

56

Studies on urban park cooling effects and their driving factors in China: Considering 276 cities under different climate zones DOI
Yi Zhou, Haile Zhao,

Sicheng Mao

и другие.

Building and Environment, Год журнала: 2022, Номер 222, С. 109441 - 109441

Опубликована: Июль 31, 2022

Язык: Английский

Процитировано

71

Quantifying the cooling effect of urban green space: A case from urban parks in a tropical mega metropolitan area (India) DOI
Manob Das, Arijit Das,

Sahil Momin

и другие.

Sustainable Cities and Society, Год журнала: 2022, Номер 87, С. 104062 - 104062

Опубликована: Июль 16, 2022

Язык: Английский

Процитировано

66