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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
23 Citations
7,556 Views
27 Pages

Assessing Earthquake Impacts and Monitoring Resilience of Historic Areas: Methods for GIS Tools

  • Sonia Giovinazzi,
  • Corinna Marchili,
  • Antonio Di Pietro,
  • Ludovica Giordano,
  • Antonio Costanzo,
  • Luigi La Porta,
  • Maurizio Pollino,
  • Vittorio Rosato,
  • Daniel Lückerath and
  • Katharina Milde
  • + 1 author

Historic areas (HAs) are highly vulnerable to natural hazards, including earthquakes, that can cause severe damage, if not total destruction. This paper proposes methods that can be implemented through a geographical information system to assess eart...

  • Article
  • Open Access
7 Citations
3,634 Views
14 Pages

Cloud and Snow Segmentation in Satellite Images Using an Encoder–Decoder Deep Convolutional Neural Networks

  • Kai Zheng,
  • Jiansheng Li,
  • Lei Ding,
  • Jianfeng Yang,
  • Xucheng Zhang and
  • Xun Zhang

The segmentation of cloud and snow in satellite images is a key step for subsequent image analysis, interpretation, and other applications. In this paper, a cloud and snow segmentation method based on a deep convolutional neural network (DCNN) with e...

  • Article
  • Open Access
5 Citations
4,689 Views
29 Pages

Recent advancements in spatial modelling and mapping methods have opened up new horizons for monitoring the migration of bird species, which have been altered due to the climate change. The rise of citizen science has also aided the spatiotemporal da...

  • Article
  • Open Access
36 Citations
5,625 Views
24 Pages

Limited studies focus on educational equity from the spatial accessibility perspective. This study combines survey data and big data and proposes a multi-mode Huff two-step floating catchment area (MMH2SFCA) method to calculate accessibility while co...

  • Article
  • Open Access
22 Citations
5,568 Views
21 Pages

Open public places, such as pedestrian streets, parks, and squares, are vulnerable when the pedestrians thronged into the sidewalks. The crowd count changes dynamically over time with various external factors, such as surroundings, weekends, and peak...

  • Article
  • Open Access
3,325 Views
17 Pages

The acquisition of human trajectories facilitates movement data analytics and location-based services, but gaps in trajectories limit the extent in which many tracking datasets can be utilized. We present a model to estimate place visit probabilities...

  • Article
  • Open Access
7 Citations
4,360 Views
17 Pages

Commuting behaviour has been intensively examined by geographers, urban planners, and transportation researchers, but little is known about how commuting behaviour is spatially linked with the job and housing markets in urban cities. New Zealand has...

  • Article
  • Open Access
6 Citations
3,131 Views
17 Pages

A Tidal Flat Wetlands Delineation and Classification Method for High-Resolution Imagery

  • Hong Pan,
  • Yonghong Jia,
  • Dawei Zhao,
  • Tianyu Xiu and
  • Fuzhi Duan

As an important part of coastal wetlands, tidal flat wetlands provide various significant ecological functions. Due to offshore pollution and unreasonable utilization, tidal flats have been increasingly threatened and degraded. Therefore, it is neces...

  • Article
  • Open Access
17 Citations
6,375 Views
18 Pages

Soil erosion is a form of land degradation. It is the process of moving surface soil with the action of external forces such as wind or water. Tillage also causes soil erosion. As outlined by the United Nations Sustainable Development Goal (UN SDG) #...

  • Article
  • Open Access
14 Citations
4,558 Views
17 Pages

Urban street networks impact urban space usage and movement across a city. Circuity, the ratio of network distances to straight-line distances, is considered a critical measurement in urban network morphology and transportation efficiency as it can m...

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