LOCAL CLIMATE ZONES: LESSONS FROM SINGAPORE AND POTENTIAL IMPROVEMENT WITH STREET VIEW IMAGERY

7 citations as recorded by crossref.

1. Exploring How Street-Level Images Help Enhance Remote-Sensing-Based Local Climate Zone Mapping C. Liao et al. 10.1109/JSTARS.2023.3301792
2. District-scale surface temperatures generated from high-resolution longitudinal thermal infrared images S. Lin et al. 10.1038/s41597-023-02749-0
3. Continuing from the Sendai Framework midterm: Opportunities for urban digital twins in disaster risk management E. Macatulad & F. Biljecki 10.1016/j.ijdrr.2024.104310
4. Predicting Neighborhood-Level Residential Carbon Emissions from Street View Images Using Computer Vision and Machine Learning W. Shi et al. 10.3390/rs16081312
5. Sensitivity of measuring the urban form and greenery using street-level imagery: A comparative study of approaches and visual perspectives F. Biljecki et al. 10.1016/j.jag.2023.103385
6. Comparative Analysis of the Surface Urban Heat Island (SUHI) Effect Based on the Local Climate Zone (LCZ) Classification Scheme for Two Japanese Cities, Hiroshima, and Sapporo N. Rahmani & A. Sharifi 10.3390/cli11070142
7. A comprehensive framework for evaluating the quality of street view imagery Y. Hou & F. Biljecki 10.1016/j.jag.2022.103094