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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
19 Citations
5,252 Views
31 Pages

One of the most significant challenges in cities concerns urban mobility. Urban mobility involves the use of different modes of transport, which can be individual or collective, and different organizations can produce their respective datasets that,...

  • Review
  • Open Access
40 Citations
8,702 Views
17 Pages

The release of Google Street View in 2007 inspired several new panoramic street-level imagery platforms including Apple Look Around, Bing StreetSide, Baidu Total View, Tencent Street View, Naver Street View, and Yandex Panorama. The ever-increasing g...

  • Article
  • Open Access
12 Citations
3,850 Views
26 Pages

A Matching Model for Door-to-Door Multimodal Transit by Integrating Taxi-Sharing and Subways

  • Rui Wang,
  • Feng Chen,
  • Xiaobin Liu,
  • Xiaobing Liu,
  • Zhiqiang Li and
  • Yadi Zhu

We present a sustainable multimodal transit system that integrates taxi-sharing with subways to alleviate traffic congestion and restore the cooperative relationship between taxis and subways. This study proposes a two-phase matching model based on o...

  • Article
  • Open Access
8 Citations
6,092 Views
23 Pages

The role of open spatial data is growing in human-history research. Spatiality can be utilized to bring together and seamlessly examine data describing multiple aspects of human beings and their environment. Web-based spatial data platforms can creat...

  • Article
  • Open Access
5 Citations
3,312 Views
13 Pages

Predicting query cost plays an important role in moving object databases. Accurate predictions help database administrators effectively schedule workloads and achieve optimal resource allocation strategies. There are some works focusing on query cost...

  • Article
  • Open Access
22 Citations
4,455 Views
17 Pages

Land use and land cover (LULC) are fundamental units of human activities. Therefore, it is of significance to accurately and in a timely manner obtain the LULC maps where dramatic LULC changes are undergoing. Since 2017 April, a new state-level area,...

  • Article
  • Open Access
7 Citations
3,388 Views
13 Pages

Studying the temporal and spatial evolution trends in earthquakes in an area is beneficial for determining the earthquake risk of the area so that local governments can make the correct decisions for disaster prevention and reduction. In this paper,...

  • Article
  • Open Access
28 Citations
4,135 Views
17 Pages

Effects of Climate and Land Use/Land Cover Changes on Water Yield Services in the Dongjiang Lake Basin

  • Wenbo Mo,
  • Yunlin Zhao,
  • Nan Yang,
  • Zhenggang Xu,
  • Weiping Zhao and
  • Feng Li

Spatial and quantitative assessments of water yield services in watershed ecosystems are necessary for water resource management and improved water ecological protection. In this study, we used the InVEST model to estimate regional water yield in the...

  • Article
  • Open Access
11 Citations
4,997 Views
18 Pages

Using Machine Learning to Map Western Australian Landscapes for Mineral Exploration

  • Thomas Albrecht,
  • Ignacio González-Álvarez and
  • Jens Klump

Landscapes evolve due to climatic conditions, tectonic activity, geological features, biological activity, and sedimentary dynamics. Geological processes at depth ultimately control and are linked to the resulting surface features. Large regions in A...

  • Article
  • Open Access
34 Citations
10,783 Views
34 Pages

More and more digital 3D city models might evolve into spatiotemporal instruments with time as the 4th dimension. For digitizing the current situation, 3D scanning and photography are suitable tools. The spatial future could be integrated using 3D dr...

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