A fast approach for large-scale Sky View Factor estimation using street view images

Zeng, Liyue; Lü, Jun; Li, Wuyan; Li, Yongcai

doi:10.1016/j.buildenv.2018.03.009

Cited by 93 publications

(42 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…According to this formula, the author argues that the island of heat is increased or reduced because of the loss or heat gain of the radiation by the "obstruction index" of the sky. The SVF is still widely used today as one of the most efficient urban spatial indicators for radiation and thermal environmental assessment [14].…”

Section: S E Dq Qmentioning

confidence: 99%

On Cities and Entropy: A Thermodynamical View of the Large Towns

Serpa

2018

CALIBRE

View full text Add to dashboard Cite

Present article proposes the application of the concept of entropy in the study of the environmental impacts generated by a city. It is taken a strictly thermodynamic approach of cities as heat sinks that generate entropy. The formalism of caloric field theory is adopted to establish the relationship between entropy caused by thermal exchanges and the physical environmental parameters considered. The notion of evolutional global time is introduced in order to treat entropy more objectively in the context of thermodynamics. A table with the rates of change of entropy in some cities is generated. Key words: Entropy, thermodynamics, irreversible processes, caloric field theory. ===========================================================================O presente artigo propõe a aplicação do conceito de entropia no estudo dos impactos ambientais gerados por uma cidade. É feita uma abordagem estritamente termodinâmica das cidades como dissipadores térmicos geradores de entropia. O formalismo da teoria dos campos calóricos é adotado para estabelecer a relação entre a entropia produzida pelas trocas térmicas e os parâmetros físicos ambientais considerados. O conceito de tempo global evolutivo é introduzido por modo de tratar a entropia de maneira mais objetiva no contexto da termodinâmica. É gerada uma tabela com as taxas de variação da entropia em algumas cidades. Palavras-chave: Entropia, termodinâmica, processos irreversíveis, teoria de campo calórico.

show abstract

Section: S E Dq Qmentioning

confidence: 99%

On Cities and Entropy: A Thermodynamical View of the Large Towns

Serpa

2018

CALIBRE

View full text Add to dashboard Cite

show abstract

“…Huge progress in computer vision and machine learning algorithms observed lately allowed for observer-independent image classification, which can be applied for landscape description [13,30,31]. Panoramic images from the Google Street View (GSV) database along with machine learning has proved to be useful for quantification of the landscape in an urban environment [32][33][34][35]; however, GSV image locations are biased towards streets and do not offer complete coverage of open areas at this point.…”

Section: Introductionmentioning

confidence: 99%

Quantitative Landscape Assessment Using LiDAR and Rendered 360° Panoramic Images

Wróżyński

Pyszny²,

Sojka

2020

Remote Sensing

View full text Add to dashboard Cite

The study presents a new method for quantitative landscape assessment. The method uses LiDAR data and combines the potential of GIS (ArcGIS) and 3D graphics software (Blender). The developed method allows one to create Classified Digital Surface Models (CDSM), which are then used to create 360° panoramic images from the point of view of the observer. In order to quantify the landscape, 360° panoramic images were transformed to the Interrupted Sinusoidal Projection using G.Projector software. A quantitative landscape assessment is carried out automatically with the following landscape classes: ground, low, medium, and high vegetation, buildings, water, and sky according to the LiDAR 1.2 standard. The results of the analysis are presented quantitatively—the percentage distribution of landscape classes in the 360° field of view. In order to fully describe the landscape around the observer, graphs of little planets have been proposed to interpret the obtained results. The usefulness of the developed methodology, together with examples of its application and the way of presenting the results, is described. The proposed Quantitative Landscape Assessment method (QLA360) allows quantitative landscape assessment to be performed in the 360° field of view without the need to carry out field surveys. The QLA360 uses LiDAR American Society of Photogrammetry and Remote Sensing (ASPRS) classification standards, which allows one to avoid differences resulting from the use of different algorithms for classifying images in semantic segmentation. The most important advantages of the method are as follows: observer-independent, 360° field of view which simulates human perspective, automatic operation, scalability, and easy presentation and interpretation of results.

show abstract

“…Calculating SVF is always based on fisheye images of the testing locations or building 3D models [15][16][17][18][19][20][21][22][23][24][25][26][27]. Fisheye images can be gathered by taking photos or converting street panorama photos provided by street map providers such as Google or Baidu [15][16][17][18][19][20][21][22]. 3D building model information can be gained from digital elevation model (DEM) provided by remote sensing data or LiDAR data [23][24][25].…”

Section: Introductionmentioning

confidence: 99%

“…With newly technologies, many software can help identify the pictures and calculate the SVF automatically, such as Rayman model, which can also calculate the condition of outdoor thermal comfort (such as PET) [20,21]. Zeng et al [15] presented a method of estimating SVF by directly using panoramas from Baidu Street Map without converting the panorama into fish-eye image and the accuracy of this method is verified. Gá l et al [23] used two methods, high resolution 3D urban raster and vector databases, to calculate SVF, and proved they are both shown to be powerful tools to obtain a general picture of the geometrical conditions of an urban environment.…”

Section: Introductionmentioning

confidence: 99%

Comparisons on Calculating Methods of Total Daily Global Solar Radiation in Urban Area Based on Panoramic Images

et al. 2019

View full text Add to dashboard Cite

In this paper, the total daily global solar radiation is tested at 18 locations with different morphological characteristics in Xi’an University of Architecture and Technology. PTgui is used to convert the panoramic pictures from Baidu Street Map to fisheye images. Sky view factor (SVF) and tree view factor (TVF) are calculated by Rayman model with fisheye images. SVF is used to calculate the total daily global solar radiation at the 18 locations with two different methods and TVF is used to classify the locations. The calculations and testing results are compared and combined the morphological characteristics. Then it is found that using suitable methods on different locations is necessary to obtain more accurate results whether the TVF (tree view factor) is more than 0.3 or less. To obtain solar radiation at different locations in the urban area, the calculating methods should be carefully chosen based on the morphology characteristics of the location.

show abstract

A fast approach for large-scale Sky View Factor estimation using street view images

Cited by 93 publications

References 44 publications

On Cities and Entropy: A Thermodynamical View of the Large Towns

On Cities and Entropy: A Thermodynamical View of the Large Towns

Quantitative Landscape Assessment Using LiDAR and Rendered 360° Panoramic Images

Comparisons on Calculating Methods of Total Daily Global Solar Radiation in Urban Area Based on Panoramic Images

Contact Info

Product

Resources

About