Results 151 to 160 of about 180,114 (174)
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Science of The Total Environment, 2017
Although meteorological monitoring stations provide accurate measurements of Air Temperature (AT), their spatial coverage within a given region is limited and thus is often insufficient for exposure and epidemiological studies. In many applications, satellite imagery measures energy flux, which is spatially continuous, and calculates Brightness ...
Ran, Pelta, Alexandra A, Chudnovsky
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Although meteorological monitoring stations provide accurate measurements of Air Temperature (AT), their spatial coverage within a given region is limited and thus is often insufficient for exposure and epidemiological studies. In many applications, satellite imagery measures energy flux, which is spatially continuous, and calculates Brightness ...
Ran, Pelta, Alexandra A, Chudnovsky
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SPIE Proceedings, 2015
Extraction of residential building properties is helpful for numerous applications, such as computer-guided feasibility analysis for solar panel placement, determination of real-estate taxes and assessment of real-estate insurance policies. Therefore, this work explores the automated modeling of buildings with a gable roof (the most common roof type ...
Ivo M. Creusen +2 more
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Extraction of residential building properties is helpful for numerous applications, such as computer-guided feasibility analysis for solar panel placement, determination of real-estate taxes and assessment of real-estate insurance policies. Therefore, this work explores the automated modeling of buildings with a gable roof (the most common roof type ...
Ivo M. Creusen +2 more
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ST-Sem: A Multimodal Method for Points-of-Interest Classification Using Street-Level Imagery
2019Street-level imagery contains a variety of visual information about the facades of Points of Interest (POIs). In addition to general morphological features, signs on the facades of, primarily, business-related POIs could be a valuable source of information about the type and identity of a POI.
Shahin Sharifi Noorian +2 more
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Green streets − Quantifying and mapping urban trees with street-level imagery and computer vision
Landscape and Urban Planning, 2017Abstract Traditional tools to map the distribution of urban green space have been hindered by either high cost and labour inputs or poor spatial resolution given the complex spatial structure of urban landscapes. What’s more, those tools do not observe the urban landscape from a perspective in which citizens experience a city.
Ian Seiferling +3 more
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Sensing Urban Physical Environment with GeoAI and Street-Level Imagery
Understanding and effectively managing urban spaces hinges upon the vital practice of sensing urban physical environments. It not only aids urban researchers in uncovering hidden complexities within the cityscape but also allows for a broader exploration of urban attributes that extend beyond mere physicality.Ce Hou, Yong Li, Fan Zhang
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Vision-Language Models for Structural Exposure Modeling from Street-Level Imagery [PDF]
Detailed information on building attributes, such as construction materials and structural types, is a fundamental prerequisite for accurate natural hazard risk assessment. Recent deep learning approaches based on convolutional neural networks (CNNs) have demonstrated the effectiveness of extracting such exposure-related information from street-level ...
Yao Sun +4 more
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Virtually Tracking Planted Urban Tree Survival with Street-Level Imagery
Arboriculture & Urban ForestryAbstract Background Street tree plantings are common in urban greening programs, and these trees provide important ecosystem services that increase as trees survive to maturity. Field-based monitoring to understand mortality rates and causes is valuable for urban forest management but very time-
Lara A. Roman +3 more
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Points-of-Interest from Mapillary Street-level Imagery: A Dataset For Neighborhood Analytics
2023 IEEE 39th International Conference on Data Engineering Workshops (ICDEW), 2023Negin Zarbakhsh, Gavin McArdle
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