[HTML][HTML] Object based image analysis for remote sensing

T Blaschke - ISPRS journal of photogrammetry and remote sensing, 2010 - Elsevier
Remote sensing imagery needs to be converted into tangible information which can be
utilised in conjunction with other data sets, often within widely used Geographic Information …

Remote sensing-based proxies for urban disaster risk management and resilience: A review

S Ghaffarian, N Kerle, T Filatova - Remote sensing, 2018 - mdpi.com
Rapid increase in population and growing concentration of capital in urban areas has
escalated both the severity and longer-term impact of natural disasters. As a result, Disaster …

Land-use classification using taxi GPS traces

G Pan, G Qi, Z Wu, D Zhang, S Li - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
Detailed land use, which is difficult to obtain, is an integral part of urban planning. Currently,
GPS traces of vehicles are becoming readily available. It conveys human mobility and …

Earth observation and artificial intelligence: Understanding emerging ethical issues and opportunities

M Kochupillai, M Kahl, M Schmitt… - … and Remote Sensing …, 2022 - ieeexplore.ieee.org
Ethics is a central and growing concern in all applications utilizing artificial intelligence (AI).
Earth observation (EO) and remote sensing (RS) research relies heavily on both big data …

Portraying urban functional zones by coupling remote sensing imagery and human sensing data

W Tu, Z Hu, L Li, J Cao, J Jiang, Q Li, Q Li - Remote sensing, 2018 - mdpi.com
Portraying urban functional zones provides useful insights into understanding complex
urban systems and establishing rational urban planning. Although several studies have …

Mapping urban land use at street block level using openstreetmap, remote sensing data, and spatial metrics

T Grippa, S Georganos, S Zarougui… - … International Journal of …, 2018 - mdpi.com
Up-to-date and reliable land-use information is essential for a variety of applications such as
planning or monitoring of the urban environment. This research presents a workflow for …

Deep learning-based generation of building stock data from remote sensing for urban heat demand modeling

M Wurm, A Droin, T Stark, C Geiß, W Sulzer… - … International Journal of …, 2021 - mdpi.com
Cities are responsible for a large share of the global energy consumption. A third of the total
greenhouse gas emissions are related to the buildings sector, making it an important target …

Identification of heat risk patterns in the US National Capital Region by integrating heat stress and related vulnerability

C Aubrecht, D Özceylan - Environment international, 2013 - Elsevier
The increase in the number and severity of weather extremes (including excessive heat)
potentially associated with climate change has highlighted the needs for research into risk …

High-resolution urban land-cover mapping and landscape analysis of the 42 major cities in China using ZY-3 satellite images

X Huang, Y Wang, J Li, X Chang, Y Cao, J Xie, J Gong - Science Bulletin, 2020 - Elsevier
Detailed and precise urban land-cover maps are crucial for urban-related studies. However,
there are limited ways of mapping high-resolution urban land cover over large areas. In this …

Collective sensing: Integrating geospatial technologies to understand urban systems—An overview

T Blaschke, GJ Hay, Q Weng, B Resch - Remote Sensing, 2011 - mdpi.com
Cities are complex systems composed of numerous interacting components that evolve over
multiple spatio-temporal scales. Consequently, no single data source is sufficient to satisfy …