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ISPRS International Journal of Geo-Information, Volume 10, Issue 7

July 2021 - 67 articles

Cover Story: Panoramic imagery platforms, such as Google Street View, Bing StreetSide, and Baidu Total View, provide new opportunities for urban analysis. This article provides the first state-of-the-art review on the use of street-level imagery across the spectrum of urban research. Through manual, automated, and machine learning data extraction techniques, street-level image analysis enables low-cost, rapid, high-resolution, and wide-scale data capture, enhanced safety through remote presence, and a unique pedestrian/vehicle point of view. Limitations include difficulty capturing attribute information, unreliability for temporal analyses, limited use for depth/distance analyses, and the role of corporations as image-data gatekeepers. Findings provide detailed insight for those interested in using panoramic street-level imagery for urban research. View this paper
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Articles (67)

  • Article
  • Open Access
16 Citations
4,634 Views
14 Pages

In this paper, we provide an innovative contribution in the research domain dedicated to crop mapping by exploiting the of Sentinel-2 satellite images time series, with the specific aim to extract information on “where and when” crops are grown. The...

  • Article
  • Open Access
3 Citations
6,674 Views
27 Pages

As the threat of COVID-19 increases, many countries have carried out various non-pharmaceutical interventions. Although many studies have evaluated the impact of these interventions, there is a lack of mapping between model parameters and actual geog...

  • Article
  • Open Access
18 Citations
7,061 Views
16 Pages

Geographic data visualization is an important research area of Web Geographic Information System (GIS). Owing to the detailed subassemblies and exhaustive knowledge database, building information modeling (BIM) plays an important role in geospatial r...

  • Article
  • Open Access
6 Citations
5,452 Views
27 Pages

The stagnation of multinational and cross-regional goods circulation has created significant disruptions to manufacturing supply chains due to the outbreak of the COVID-19 pandemic. To explore the impact of COVID-19 on the circulation of manufacturin...

  • Article
  • Open Access
8 Citations
4,013 Views
21 Pages

With the development of smart cities, the use of unmanned aerial vehicles (UAVs) for interactive information exchange between air and ground can provide effective support for the deployment of emergency work. However, the existing UAV air-to-ground c...

  • Article
  • Open Access
13 Citations
3,679 Views
20 Pages

The COVID-19 pandemic is a major challenge for society as a whole, and analyzing the impact of the spread of the epidemic and government control measures on the travel patterns of urban residents can provide powerful help for city managers to designa...

  • Article
  • Open Access
9 Citations
3,822 Views
17 Pages

Urban hotspot area detection is an important issue that needs to be explored for urban planning and traffic management. It is of great significance to mine hotspots from taxi trajectory data, which reflect residents’ travel characteristics and the op...

  • Article
  • Open Access
5 Citations
3,911 Views
30 Pages

Static indicators may fail to capture spatiotemporal differences in the spatial influence of urban features on different crime types. In this study, with a base station analogy, we introduced crime risk stations that conceptualize the spatial influen...

  • Article
  • Open Access
11 Citations
5,925 Views
18 Pages

Social media data contains real-time expressed information, including text and geographical location. As a new data source for crowd behavior research in the era of big data, it can reflect some aspects of the behavior of residents. In this study, a...

  • Article
  • Open Access
62 Citations
6,243 Views
17 Pages

The remote-sensing ecological index (RSEI), which is built with greenness, moisture, dryness, and heat, has become increasingly recognized for its use in urban eco-environment quality assessment. To improve the reliability of such assessment, we prop...

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ISPRS Int. J. Geo-Inf. - ISSN 2220-9964