Skip to Content

ISPRS International Journal of Geo-Information, Volume 11, Issue 6

2022 June - 33 articles

Cover Story: Geospatial data analysis often requires computing a distance transform (DT) for a given vector feature. Computing a DT on traditional geographic information systems (GIS) is usually based on image processing methods, which are prone to distortion resulting from flat maps. Discrete global grid systems (DGGS) are relatively new low-distortion globe-based GIS that discretize the Earth into highly regular cells. In this paper, we introduce an efficient DT algorithm for DGGS that exploits the hierarchy of a DGGS and its mathematical properties. We demonstrate that our method is efficient and has minimal distortion by comparing its speed and distortion with the DT methods used in traditional GIS and general 3D meshes. View this paper
  • Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
  • You may sign up for email alerts to receive table of contents of newly released issues.
  • PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.

Articles (33)

  • Article
  • Open Access
2 Citations
3,535 Views
19 Pages

Integration of Geostatistical and Sentinal-2AMultispectral Satellite Image Analysis for Predicting Soil Fertility Condition in Drylands

  • Mohamed S. Shokr,
  • Yasser S. A. Mazrou,
  • Mostafa A. Abdellatif,
  • Ahmed A. El Baroudy,
  • Esawy K. Mahmoud,
  • Ahmed M. Saleh,
  • Abdelaziz A. Belal and
  • Zheli Ding

For modelling and predicting soil indicators to be fully operational and facilitate decision-making at any spatial level, there is a requirement for precise spatially referenced soil information to be available as input data. This paper focuses on sh...

  • Article
  • Open Access
2 Citations
2,553 Views
15 Pages

Accessibility plays an important role in alleviating rural poverty. Previous studies have explored the relationship between accessibility and rural poverty, but they offer limited evidence of the collective influence of multiscale transport accessibi...

  • Article
  • Open Access
12 Citations
3,522 Views
21 Pages

Context-Aware Matrix Factorization for the Identification of Urban Functional Regions with POI and Taxi OD Data

  • Changfeng Jing,
  • Yanru Hu,
  • Hongyang Zhang,
  • Mingyi Du,
  • Shishuo Xu,
  • Xian Guo and
  • Jie Jiang

The identification of urban functional regions (UFRs) is important for urban planning and sustainable development. Because this involves a set of interrelated processes, it is difficult to identify UFRs using only single data sources. Data fusion met...

  • Article
  • Open Access
9 Citations
2,967 Views
22 Pages

The UK, as elsewhere, has seen an accelerating trend of bank branch closures and reduced opening hours since the early 2000s. The reasons given by the banks are well rehearsed, but the impact assessments they provide to justify such programs and sign...

  • Article
  • Open Access
12 Citations
4,727 Views
21 Pages

The traditional methods of estimating housing vacancies rarely use daytime housing exterior images to estimate housing vacancy rates (HVR). In view of this, this study proposed the idea and method of estimating urban housing vacancies based on daytim...

  • Article
  • Open Access
2,545 Views
26 Pages

Topographic maps show both physical and artificial entities of the surface of the Earth which represent distinct features forming the building blocks in map composition. Their portrayal on the map is subject to constraints dependent on the method of...

  • Editorial
  • Open Access
2 Citations
5,886 Views
5 Pages

Geo-information technology plays a critical role in urban planning and management, land resource quantification, natural disaster risk and damage assessment, smart city development, land cover change modeling and touristic flow management. In particu...

  • Article
  • Open Access
2 Citations
3,481 Views
18 Pages

Investigating Factors Related to Criminal Trips of Residential Burglars Using Spatial Interaction Modeling

  • Kazuki Hirama,
  • Kaeko Yokota,
  • Yusuke Otsuka,
  • Kazumi Watanabe,
  • Naoto Yabe and
  • Yoshinori Hawai

This study used spatial interaction modeling to examine whether origin-specific and destination-specific factors, distance decay effects, and spatial structures explain the criminal trips of residential burglars. In total, 4041 criminal trips committ...

  • Article
  • Open Access
16 Citations
3,429 Views
22 Pages

The purpose of this paper was to produce the geological hazard-susceptibility map for the Changbai Mountain area affected by volcanic activity. First, 159 landslides and 72 debris flows were mapped in the Helong city are based on the geological disas...

  • Article
  • Open Access
6 Citations
3,498 Views
17 Pages

EmergEventMine: End-to-End Chinese Emergency Event Extraction Using a Deep Adversarial Network

  • Jianzhuo Yan,
  • Lihong Chen,
  • Yongchuan Yu,
  • Hongxia Xu,
  • Qingcai Gao,
  • Kunpeng Cao and
  • Jianhui Chen

With the rapid development of the internet and social media, extracting emergency events from online news reports has become an urgent need for public safety. However, current studies on the text mining of emergency information mainly focus on text c...

  • Article
  • Open Access
24 Citations
4,417 Views
14 Pages

Potential of the Geometric Layer in Urban Digital Twins

  • Andreas Scalas,
  • Daniela Cabiddu,
  • Michela Mortara and
  • Michela Spagnuolo

A urban digital twin is the virtual representation of real assets, processes, systems and subsystems of a city. It uses and integrates heterogeneous data to learn and evolve with the physical city, providing support to monitor the current status and...

  • Article
  • Open Access
20 Citations
4,753 Views
22 Pages

As the passenger railway network is expanding and improving, the internal connections and interdependence in the network are rising. Once a sudden geological hazard occurs and damages the network structure, the train service is prone to large-scale h...

  • Article
  • Open Access
24 Citations
5,444 Views
24 Pages

A Comprehensive Spatio-Temporal Model for Subway Passenger Flow Prediction

  • Zhihao Zhang,
  • Yong Han,
  • Tongxin Peng,
  • Zhenxin Li and
  • Ge Chen

Accurate subway passenger flow prediction is crucial to operation management and line scheduling. It can also promote the construction of intelligent transportation systems (ITS). Due to the complex spatial features and time-varying traffic patterns...

  • Article
  • Open Access
8 Citations
3,214 Views
13 Pages

A Three-Dimensional Visualization and Optimization Method of Landslide Disaster Scenes Guided by Knowledge

  • Lin Fu,
  • Jun Zhu,
  • Jianbo Lai,
  • Weilian Li,
  • Pei Dang,
  • Lingzhi Yin,
  • Jialuo Li,
  • Yukun Guo and
  • Jigang You

The rapid acquisition of deposit volume information and dynamic modeling, as well as the visualization of disaster scenes, have great significance for the sharing of landslide information and the management of emergency rescue. However, existing meth...

  • Article
  • Open Access
5 Citations
6,591 Views
15 Pages

The purpose of this study was to explore the impact of different design methods of bus route maps and dynamic real-time information on the bus route map search efficiency and cognitive load. A total of 32 participants were tested through an experimen...

  • Article
  • Open Access
14 Citations
5,940 Views
26 Pages

3D Modeling Method for Dome Structure Using Digital Geological Map and DEM

  • Xian-Yu Liu,
  • An-Bo Li,
  • Hao Chen,
  • Yan-Qing Men and
  • Yong-Liang Huang

Geological maps have wide coverage with low acquisition difficulty. When other geological survey data are scarce, they are a valuable source of geological structure information for geological modeling. However, for structures with large deformation,...

  • Article
  • Open Access
12 Citations
3,314 Views
16 Pages

As a unique phenomenon of soil erosion in the granite-red-soil hilly area of southern China, Benggang has seriously affected agricultural development and regional sustainable development. However, few studies have focused on the driving factors and t...

  • Article
  • Open Access
15 Citations
6,337 Views
26 Pages

The causes of bushfires are extremely complex, and their scale of burning and probability of occurrence are influenced by the interaction of a variety of factors such as meteorological factors, topography, human activity and vegetation type. An in-de...

  • Article
  • Open Access
14 Citations
4,615 Views
21 Pages

The increasing popularity of intercity commuting is affecting regional development and people’s lifestyles. A key approach to addressing the challenges brought about by intercity commuting is analyzing its determinants. Although spatial nonstat...

  • Article
  • Open Access
4 Citations
5,404 Views
26 Pages

Quality Assurance for Spatial Research Data

  • Michael Wagner and
  • Christin Henzen

In Earth System Sciences (ESS), spatial data are increasingly used for impact research and decision-making. To support the stakeholders’ decision, the quality of the spatial data and its assurance play a major role. We present concepts and a wo...

  • Article
  • Open Access
30 Citations
6,764 Views
16 Pages

Limiting the Collection of Ground Truth Data for Land Use and Land Cover Maps with Machine Learning Algorithms

  • Usman Ali,
  • Travis J. Esau,
  • Aitazaz A. Farooque,
  • Qamar U. Zaman,
  • Farhat Abbas and
  • Mathieu F. Bilodeau

Land use and land cover (LULC) classification maps help understand the state and trends of agricultural production and provide insights for applications in environmental monitoring. One of the major downfalls of the LULC technique is inherently linke...

  • Article
  • Open Access
15 Citations
3,813 Views
14 Pages

Recognizing building group patterns is fundamental to numerous fields, such as urban landscape evaluation, social analysis, and map generalization. Despite the increasing number of algorithms available for building group pattern recognition, there is...

  • Article
  • Open Access
6 Citations
2,787 Views
17 Pages

Residential areas is one of the basic geographical elements on the map and an important content of the map representation. Multi-scale residential areas matching refers to the process of identifying and associating entities with the same name in diff...

  • Article
  • Open Access
13 Citations
3,538 Views
18 Pages

In urban environmental management and public health evaluation efforts, there is an urgent need for fine-grained urban air quality monitoring. However, the high price and sparse distribution of air quality monitoring equipment make it difficult to de...

  • Article
  • Open Access
15 Citations
6,135 Views
17 Pages

Understanding organism movement is at the heart of many ecological disciplines. The study of landscape connectivity—the extent to which a landscape facilitates organism movement—has grown to become a central focus of spatial ecology and c...

  • Article
  • Open Access
26 Citations
4,428 Views
17 Pages

The evaluation of ecological risk and the construction of ecological security patterns are significant for the conservation of World Natural Heritage sites with high outstanding universal value. This paper constructed a landscape ecological risk eval...

  • Article
  • Open Access
8 Citations
3,429 Views
17 Pages

Improving LST Downscaling Quality on Regional and Field-Scale by Parameterizing the DisTrad Method

  • Taha I. M. Ibrahim,
  • Sadiq Al-Maliki,
  • Omar Salameh,
  • István Waltner and
  • Zoltán Vekerdy

Many scientists have been investigating Land Surface Temperature (LST) because of its relevance in water management science due to its direct influence on the hydrological water cycle. This effect stems from being one of the most significant variable...

  • Article
  • Open Access
8 Citations
4,445 Views
22 Pages

Accurate extraction of urban landscape features in the historic district of China is an essential task for the protection of the cultural and historical heritage. In recent years, deep learning (DL)-based methods have made substantial progress in lan...

  • Article
  • Open Access
22 Citations
4,233 Views
24 Pages

Streets are an important component of urban landscapes and reflect the image, quality of life, and vitality of public spaces. With the help of the Google Cityscapes urban dataset and the DeepLab-v3 deep learning model, we segmented panoramic images t...

  • Article
  • Open Access
28 Citations
8,305 Views
23 Pages

Landslide Susceptibility Mapping Using Machine Learning: A Danish Case Study

  • Angelina Ageenko,
  • Lærke Christina Hansen,
  • Kevin Lundholm Lyng,
  • Lars Bodum and
  • Jamal Jokar Arsanjani

Mapping of landslides, conducted in 2021 by the Geological Survey of Denmark and Greenland (GEUS), revealed 3202 landslides in Denmark, indicating that they might pose a bigger problem than previously acknowledged. Moreover, the changing climate is a...

  • Article
  • Open Access
15 Citations
4,088 Views
18 Pages

The next point-of-interest (POI) recommendation is one of the most essential applications in location-based social networks (LBSNs). Its main goal is to research the sequential patterns of user check-in activities and then predict a user’s next...

  • Article
  • Open Access
6 Citations
5,020 Views
22 Pages

Geospatial data analysis often requires the computing of a distance transform for a given vector feature. For instance, in wildfire management, it is helpful to find the distance of all points in an area from the wildfire’s boundary. Computing...

  • Article
  • Open Access
16 Citations
4,876 Views
25 Pages

The development of the catering industry in big cities is of great significance for countries to improve the quality of development and improve people’s living standards. In recent years, the urban catering industry has effectively promoted the...

Get Alerted

Add your email address to receive forthcoming issues of this journal.

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