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ISPRS International Journal of Geo-Information, Volume 9, Issue 1

January 2020 - 60 articles

Cover Story: The cover image shows a 3D point cloud of a damaged building in Lyon, France, calculated from stereo imagery obtained with a consumer UAV/drone (DJI Phantom 3, inset) in the context of a European-funded research project (INACHUS, www.inachus.eu). The project focused on the development of methods to support first responders in search and rescue activities following accidents or disasters. The image illustrates the use of UAV in detailed scene reconstruction, and how the derived information together with advanced machine learning are used for structural damage detection, superimposed in red on the model. The article provides a detailed review of how UAV have been used in structural damage assessment.View this paper.
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Articles (60)

  • Article
  • Open Access
31 Citations
11,436 Views
12 Pages

Linguistic landscape research focuses on relationships between written languages in public spaces and the sociodemographic structure of a city. While a great deal of work has been done on the evaluation of linguistic landscapes in different cities, m...

  • Feature Paper
  • Review
  • Open Access
55 Citations
14,363 Views
28 Pages

Spaces in Spatial Science and Urban Applications—State of the Art Review

  • Sisi Zlatanova,
  • Jinjin Yan,
  • Yijing Wang,
  • Abdoulaye Diakité,
  • Umit Isikdag,
  • George Sithole and
  • Jack Barton

In spatial science and urban applications, “space" is presented by multiple disciplines as a notion referencing our living environment. Space is used as a general term to help understand particular characteristics of the environment. However, the def...

  • Article
  • Open Access
34 Citations
6,109 Views
15 Pages

Negative binomial (NB) regression model has been used to analyze crime in previous studies. The disadvantage of the NB model is that it cannot deal with spatial effects. Therefore, spatial regression models, such as the geographically weighted Poisso...

  • Article
  • Open Access
9 Citations
4,158 Views
21 Pages

Detecting Intra-Urban Housing Market Spillover through a Spatial Markov Chain Model

  • Daijun Zhang,
  • Xiaoqi Zhang,
  • Yanqiao Zheng,
  • Xinyue Ye,
  • Shengwen Li and
  • Qiwen Dai

This study analyzed the spillovers among intra-urban housing submarkets in Beijing, China. Intra-urban spillover imposes a methodological challenge for housing studies from the spatial and temporal perspectives. Unlike the inter-urban spillover, the...

  • Article
  • Open Access
9 Citations
4,573 Views
18 Pages

Average speed is crucial for calculating link travel time to find the fastest path in a road network. However, readily available data sources like OpenStreetMap (OSM) often lack information about the average speed of a road. However, OSM contains oth...

  • Case Report
  • Open Access
28 Citations
9,601 Views
18 Pages

Indonesia is an archipelago country in which the tourism sector plays a role as an economic locomotive. In 2016, Indonesia joined the World Halal Tourism Award (WHTA) and won 12 awards, three of which were won by West Sumatra. Bukittinggi is the prin...

  • Article
  • Open Access
14 Citations
4,724 Views
22 Pages

Comprehensive user evaluations of outdoor augmented reality (AR) applications in the architecture, engineering, construction and facilities management (AEC/FM) industry are rarely reported in the literature. This paper presents an AR prototype system...

  • Article
  • Open Access
18 Citations
7,688 Views
22 Pages

The U.S. electric-power infrastructure urgently needs renovation. Recent major power outages in California, New York, Texas, and Florida have highlighted U.S. electric-power unreliability. The media have discussed the U.S. aging power infrastructure...

  • Article
  • Open Access
26 Citations
6,099 Views
18 Pages

Spatio-Temporal Prediction of the Epidemic Spread of Dangerous Pathogens Using Machine Learning Methods

  • Wolfgang B. Hamer,
  • Tim Birr,
  • Joseph-Alexander Verreet,
  • Rainer Duttmann and
  • Holger Klink

Real-time identification of the occurrence of dangerous pathogens is of crucial importance for the rapid execution of countermeasures. For this purpose, spatial and temporal predictions of the spread of such pathogens are indispensable. The R package...

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