Urban remote sensing with spatial big data: A review and renewed perspective of urban studies in recent decades

D Yu, C Fang - Remote Sensing, 2023 - mdpi.com
During the past decades, multiple remote sensing data sources, including nighttime light
images, high spatial resolution multispectral satellite images, unmanned drone images, and …

[HTML][HTML] Remote sensing for the assessment of ecosystem services provided by urban vegetation: A review of the methods applied

KA García-Pardo, D Moreno-Rangel… - Urban Forestry & Urban …, 2022 - Elsevier
The study and assessment of ecosystem services through remote sensing has increased
substantially over the last two decades, as evidenced by the publication of studies that have …

Rapid urbanization and meteorological changes are resha** the urban vegetation pattern in urban core area: A national 315-city study in China

P Zhang, Y Dong, Z Ren, G Wang, Y Guo… - Science of the Total …, 2023 - Elsevier
Urban vegetation takes on the responsibility of improving the urban environment and human
wellbeing. However, the changing pattern and its driving mechanism are still not well …

[HTML][HTML] Multi-scale Feature Fusion and Transformer Network for urban green space segmentation from high-resolution remote sensing images

Y Cheng, W Wang, Z Ren, Y Zhao, Y Liao, Y Ge… - International Journal of …, 2023 - Elsevier
Accurate extraction of urban green space is critical for preserving urban ecological balance
and enhancing urban life quality. However, due to the complex urban green space …

Clarity or confusion: A review of computer vision street attributes in urban studies and planning

L Liu, A Sevtsuk - Cities, 2024 - Elsevier
The acceleration of urban imagery data analysis, driven by computer vision (CV), has
created noteworthy opportunities for urban studies and planning. Data on street …

Map** seasonal changes of street greenery using multi-temporal street-view images

Y Han, T Zhong, AGO Yeh, X Zhong, M Chen… - Sustainable Cities and …, 2023 - Elsevier
Street greenery offers various benefits to urban environments. In regions with climatic
variations among seasons, seasonal changes of vegetation may lead to fluctuations in the …

Federated deep learning with prototype matching for object extraction from very-high-resolution remote sensing images

F Schug, KA Pfoch, VD Pham, S van der Linden… - Remote Sensing of …, 2024 - Elsevier
Map** land cover in highly heterogeneous landscapes is challenging, and classifications
have inherent limitations where the spatial resolution of remotely sensed data exceeds the …