Published April 19, 2023
| Version v1
Poster
Open
Exploring How Street-level Images Help to Enhance Local Climate Zone Mapping
Creators
- 1. Department of Land Surveying and Geo-Informatics & Otto Poon Charitable Foundation Smart Cities Research Institute, The Hong Kong Polytechnic University
- 2. CASA, University College London
Description
The local climate zone (LCZ) classification scheme is effective for climatic modelling, and
timely and accurate LCZ mapping becomes critical for scientific climate research. Satellite images
can efficiently capture the information of large-scale landscapes, while street-level images
include critical LCZ scheme-related information, such as building and ground-level details. It is
promising to integrate the two different kinds of images. In this study, we explore two important
questions: 1) Whether street-level images can help enhance LCZ classification performance compared
with using satellite images alone, and how effective are they? 2) How street-level images
can help augment the performance?
Files
GISRUK_2023_paper_4872.pdf
Files
(6.2 MB)
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