[HTML][HTML] A comprehensive framework for evaluating the quality of street view imagery
Street view imagery (SVI) is increasingly in competition with traditional remote sensing
sources and assuming its domination in myriads of studies, mainly thanks to the …
sources and assuming its domination in myriads of studies, mainly thanks to the …
A comprehensive review of geospatial technology applications in earthquake preparedness, emergency management, and damage assessment
The level of destruction caused by an earthquake depends on a variety of factors, such as
magnitude, duration, intensity, time of occurrence, and underlying geological features, which …
magnitude, duration, intensity, time of occurrence, and underlying geological features, which …
Global Streetscapes—A comprehensive dataset of 10 million street-level images across 688 cities for urban science and analytics
Street view imagery (SVI) is instrumental for sensing urban environments, benefitting
numerous domains such as urban morphology, health, greenery, and accessibility. Billions …
numerous domains such as urban morphology, health, greenery, and accessibility. Billions …
[HTML][HTML] Towards a 'resource cadastre'for a circular economy–urban-scale building material detection using street view imagery and computer vision
The lack of data on existing buildings hinders efforts towards repair, reuse, and recycling of
materials, which are crucial for mitigating the climate crisis. Manual acquisition of building …
materials, which are crucial for mitigating the climate crisis. Manual acquisition of building …
[HTML][HTML] Sensitivity of measuring the urban form and greenery using street-level imagery: A comparative study of approaches and visual perspectives
Abstract Street View Imagery (SVI) is crucial in estimating indicators such as Sky View Factor
(SVF) and Green View Index (GVI), but (1) approaches and terminology differ across fields …
(SVF) and Green View Index (GVI), but (1) approaches and terminology differ across fields …
[HTML][HTML] Microclimate Vision: Multimodal prediction of climatic parameters using street-level and satellite imagery
High-resolution microclimate data is essential for capturing spatio-temporal heterogeneity of
urban climate and heat health management. However, previous studies have relied on …
urban climate and heat health management. However, previous studies have relied on …
Assessment of convolutional neural network pre-trained models for detection and orientation of cracks
Failure due to cracks is a major structural safety issue for engineering constructions. Human
examination is the most common method for detecting crack failure, although it is subjective …
examination is the most common method for detecting crack failure, although it is subjective …
[HTML][HTML] A panorama-based technique to estimate sky view factor and solar irradiance considering transmittance of tree canopies
Street-view-based techniques for assessing the sky view factor (SVF) and solar irradiance
under trees are gaining attention as tools for evaluating trees as nature-based solutions to …
under trees are gaining attention as tools for evaluating trees as nature-based solutions to …
Deep Learning for Earthquake Disaster Assessment: Objects, Data, Models, Stages, Challenges, and Opportunities
J Jia, W Ye - Remote Sensing, 2023 - mdpi.com
Earthquake Disaster Assessment (EDA) plays a critical role in earthquake disaster
prevention, evacuation, and rescue efforts. Deep learning (DL), which boasts advantages in …
prevention, evacuation, and rescue efforts. Deep learning (DL), which boasts advantages in …
Beyond geo-localization: Fine-grained orientation of street-view images by cross-view matching with satellite imagery
Street-view imagery provides us with novel experiences to explore different places remotely.
Carefully calibrated street-view images (eg, Google Street View) can be used for different …
Carefully calibrated street-view images (eg, Google Street View) can be used for different …