30 articles in this issue
Tyler Agius, Soheil Sabri and Mohsen Kalantari
Multi-dimensional representation of urban settings has received a great deal of attention among urban planners, policy makers, and urban scholars. This is due to the fact that cities grow vertically and new urbanism strategies encourage higher density and... see more
Le Sun, Tianming Zhan, Zebin Wu and Byeungwoo Jeon
Known to be structured in several patterns at the same time, the prior image of interest is always modeled with the idea of enforcing multiple constraints on unknown signals. For instance, when dealing with a hyperspectral restoration problem, the combina... see more
Gordana Kaplan and Ugur Avdan
As wetlands are one of the world’s most important ecosystems, their vulnerability necessitates the constant monitoring and mapping of their changes. Satellite-based remote sensing has become an essential data source for mapping and monitoring wetlan... see more
Haifei Liu, Minhua Yang, Jie Chen, Jialiang Hou and Min Deng
Buildings represent the most relevant features of human activity in urban regions, but their change detection using very-high-resolution (VHR) remote sensing imagery is still a major challenge. Effective representation of the building is the key point in ... see more
Youqiang Dong, Ximin Cui, Li Zhang and Haibin Ai
The progressive TIN (triangular irregular network) densification (PTD) filter algorithm is widely used for filtering point clouds. In the PTD algorithm, the iterative densification parameters become smaller over the entire process of filtering. This leads... see more
Elif Sertel, Raziye Hale Topaloglu, Betül Salli, Irmak Yay Algan and Gül Asli Aksu
This research aims to investigate how different landscape metrics are affected by the enhancement of the thematic classes in land cover/land use (LC/LU) maps. For this aim, three different LC/LU maps based on three different levels of CORINE (Coordination... see more
Zongyao Sha, Yahya Ali, Yuwei Wang, Jiangping Chen, Xicheng Tan and Ruren Li
Vegetation plays an irreplaceable role for urban ecosystem services. Urban greenness represents all vegetation cover in and around cities. Understanding spatiotemporal patterns of the changes in urban greenness (CUG) provides fundamental clues for urban p... see more
Xiaodong Zhou, Zhe Chen, Xiang Zhang and Tinghua Ai
Crowd-sourced geographic information is becoming increasingly available, providing diverse and timely sources for updating existing spatial databases to facilitate urban studies, geoinformatics, and real estate practices. However, the discrepancies betwee... see more
Urška Kanjir, Nataša Ðuric and Tatjana Veljanovski
The European Common Agricultural Policy (CAP) post-2020 timeframe reform will reshape the agriculture land use control procedures from a selected risk fields-based approach into an all-inclusive one. The reform fosters the use of Sentinel data with the ob... see more
Mahdi Farnaghi and Ali Mansourian
Automatic composition of geospatial web services increases the possibility of taking full advantage of spatial data and processing capabilities that have been published over the internet. In this paper, a multi-agent artificial intelligence (AI) planning ... see more
Yanlei Feng and Yi Qi
This paper introduces an urban growth simulation model applied to the full scope of China. The model uses a multicriteria decision analysis to calculate the land conversion probability and then integrates it with a cellular automata model. A nonlinear rel... see more
Chengming Li, Yong Yin, Pengda Wu, Xiaoli Liu and Peipei Guo
Extracting the split line of narrow and long patches is important for the generalization of land-use thematic data. There are two commonly used methods for extracting the split lines: One is based on Delaunay triangulation and the other is based on straig... see more
Dae Kyo Seo, Yong Hyun Kim, Yang Dam Eo, Mi Hee Lee and Wan Yong Park
In order to overcome the insufficiency of single remote sensing data in change detection, synthetic aperture radar (SAR) and optical image data can be used together for supplementation. However, conventional image fusion methods fail to address the differ... see more
Müslüm Hacar, Batuhan Kiliç and Kadir Sahbaz
The usage of OpenStreetMap (OSM), one of the resources offered by Volunteered Geographic Information (VGI), has rapidly increased since it was first established in 2004. In line with this increased usage, a number of studies have been conducted to analyze... see more
Junghee Jo and Kang-Woo Lee
With the rapid development of Internet of Things (IoT) technologies, the increasing volume and diversity of sources of geospatial big data have created challenges in storing, managing, and processing data. In addition to the general characteristics of big... see more
Khan Rubayet Rahaman, M. Razu Ahmed and Quazi K. Hassan
Warming, i.e., increments of temperature, is evident at the global, regional, and local level. However, understanding the dynamics of local warming at high spatial resolution remains challenging. In fact, it is very common to see extremely variable land c... see more
Brian D. Woodward, Paul H. Evangelista, Nicholas E. Young, Anthony G. Vorster, Amanda M. West, Sarah L. Carroll, Rebecca K. Girma, Emma Zink Hatcher, Ryan Anderson, Megan L. Vahsen, Amandeep Vashisht, Timothy Mayer, Daniel Carver and Catherine Jarnevich
Here we present “CO-RIP”, a novel spatial dataset delineating riparian corridors and riparian vegetation along large streams and rivers in the United States (US) portion of the Colorado River Basin. The consistent delineation of riparian areas... see more
Diego Pajarito and Michael Gould
Urban cycling is a sustainable transport mode that many cities are promoting. However, few cities are taking advantage of geospatial technologies to represent and analyse cycling mobility based on the behavioural patterns and difficulties faced by cyclist... see more
René Chénier, Marc-André Faucher, Ryan Ahola, Yask Shelat and Mesha Sagram
The Canadian Hydrographic Service (CHS) supports safe navigation within Canadian waters through approximately 1000 navigational charts as well as hundreds of publications. One of the greatest challenges faced by the CHS is removing gaps in bathymetric sur... see more
Alu Si, Jiquan Zhang, Siqin Tong, Quan Lai, Rui Wang, Na Li and Yongbin Bao
Landslide identification is an increasingly important research topic in remote sensing and the study of natural hazards. It is essential for hazard prevention, mitigation, and vulnerability assessments. Despite great efforts over the past few years, its a... see more
Yiqun Chen, Erfan Shooraj, Abbas Rajabifard and Soheil Sabri
The 3D Tiles specification, created by Cesium, is designed for streaming massive heterogeneous three-dimensional (3D) geospatial datasets online using WebGL technology. The program has prevailed in the WebGIS community due to its ability to visualise, int... see more
Giuseppe Masetti, Tyanne Faulkes and Christos Kastrisios
Timely and accurate identification of change detection for areas depicted on nautical charts constitutes a key task for marine cartographic agencies in supporting maritime safety. Such a task is usually achieved through manual or semi-automated processes,... see more
Lingyu Du, Qiuhe Ma, Jin Ben, Rui Wang and Jiahao Li
Vectors are a key type of geospatial data, and their discretization, which involves solving the problem of generating a discrete line, is particularly important. In this study, we propose a method for constructing a discrete line mathematical model for a ... see more
Bruno M. Meneses, Eusébio Reis, Rui Reis and Maria J. Vale
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Wei He and Naoto Yokoya
In this paper, we present the optical image simulation from synthetic aperture radar (SAR) data using deep learning based methods. Two models, i.e., optical image simulation directly from the SAR data and from multi-temporal SAR-optical data, are proposed... see more
Grant McKenzie, Zheng Liu, Yingjie Hu and Myeong Lee
Neighborhoods are vaguely defined, localized regions that share similar characteristics. They are most often defined, delineated and named by the citizens that inhabit them rather than municipal government or commercial agencies. The names of these neighb... see more
Yongjiu Feng, Zongbo Cai, Xiaohua Tong, Jiafeng Wang, Chen Gao, Shurui Chen and Zhenkun Lei
Chen Zhong, Shi Zeng, Wei Tu and Mitsuo Yoshida
Knowledge discovery about people and cities from emerging location data has been an active research field but is still relatively unexplored. In recent years, a considerable amount of work has been developed around the use of social media data, most of wh... see more
Matthes Rieke, Lorenzo Bigagli, Stefan Herle, Simon Jirka, Alexander Kotsev, Thomas Liebig, Christian Malewski, Thomas Paschke and Christoph Stasch
The nature of contemporary spatial data infrastructures lies in the provision of geospatial information in an on-demand fashion. Although recent applications identified the need to react to real-time information in a time-critical way, research efforts in... see more
Davood Shojaei, Hamed Olfat, Abbas Rajabifard and Mark Briffa
The massive property development of high-rises and complex structures above and below the ground surface in cities indicates the lack of land and high demand to use spaces. However, the existing land and property administration systems are mainly two dime... see more