Monitoring spatial patterns of urban vegetation: A comparison of contemporary high-resolution datasets DOI
John Duncan, Bryan Boruff

Landscape and Urban Planning, Journal Year: 2023, Volume and Issue: 233, P. 104671 - 104671

Published: Feb. 3, 2023

Language: Английский

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

Jiadi Yin,

Jinwei Dong, Nicholas Hamm

et al.

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2021, Volume and Issue: 103, P. 102514 - 102514

Published: Aug. 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.

Language: Английский

Citations

130
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

et al.

Building and Environment, Journal Year: 2022, Volume and Issue: 228, P. 109910 - 109910

Published: Dec. 10, 2022

Language: Английский

Citations

128
Relationship between urban landscape structure and land surface temperature: Spatial hierarchy and interaction effects DOI
Liang Zhou,

Fengning Hu,

Bo Wang

et al.

Sustainable Cities and Society, Journal Year: 2022, Volume and Issue: 80, P. 103795 - 103795

Published: Feb. 18, 2022

Language: Английский

Citations

81
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

et al.

Landscape and Urban Planning, Journal Year: 2023, Volume and Issue: 239, P. 104842 - 104842

Published: July 26, 2023

Language: Английский

Citations

62
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

et al.

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 99, P. 104933 - 104933

Published: Sept. 12, 2023

Language: Английский

Citations

62
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

et al.

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 96, P. 104663 - 104663

Published: May 21, 2023

Language: Английский

Citations

61
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

et al.

Building and Environment, Journal Year: 2023, Volume and Issue: 233, P. 110085 - 110085

Published: Feb. 7, 2023

Language: Английский

Citations

57
Satellite-Derived Land Surface Temperature Dynamics in the Context of Global Change—A Review DOI Creative Commons
Philipp Reiners, José A. Sobrino,

Claudia Kuenzer

et al.

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(7), P. 1857 - 1857

Published: March 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.

Language: Английский

Citations

55
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

et al.

Building and Environment, Journal Year: 2022, Volume and Issue: 222, P. 109441 - 109441

Published: July 31, 2022

Language: Английский

Citations

69
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

et al.

Sustainable Cities and Society, Journal Year: 2022, Volume and Issue: 87, P. 104062 - 104062

Published: July 16, 2022

Language: Английский

Citations

66