International Journal of Digital Earth, Journal Year: 2025, Volume and Issue: 18(1)
Published: March 25, 2025
Language: Английский
Habitat International, Journal Year: 2025, Volume and Issue: 158, P. 103350 - 103350
Published: Feb. 27, 2025
Language: Английский
Citations
1
Journal of Remote Sensing, Journal Year: 2023, Volume and Issue: 4
Published: Dec. 28, 2023
The transformation from authoritative to user-generated data landscapes has garnered considerable attention, notably with the proliferation of crowdsourced geospatial data. Facilitated by advancements in digital technology and high-speed communication, this paradigm shift democratized collection, obliterating traditional barriers between producers users. While previous literature compartmentalized subject into distinct platforms application domains, review offers a holistic examination Employing narrative approach due interdisciplinary nature topic, we investigate both human Earth observations through initiatives. This categorizes diverse applications these rigorously examines specific paradigms pertinent collection. Furthermore, it addresses salient challenges, encompassing quality, inherent biases, ethical dimensions. We contend that thorough analysis will serve as an invaluable scholarly resource, encapsulating current state-of-the-art data, offering strategic directions for future research across various sectors.
Language: Английский
Citations
18
Cities, Journal Year: 2024, Volume and Issue: 153, P. 105243 - 105243
Published: July 8, 2024
Cities are complex systems that constantly changing. This paper explores the capabilities of using crowdsourced street-level imagery in observing city dynamics. Visual walkability is an example such index, where different results may be obtained depending on locational and temporal factors. introduces a new index called Type Walkability (TVW) to characterize classify visual Inner London utilizing Mapillary images. The method based panoptic segmentation, pixel-level segmentation instance count used combination generate more robust indicators greenery, openness, crowdedness, pavement. Following this, TVW at street segment level calculated spatiotemporal dynamics explored. show significant seasonal variations. Specifically, many greenery-dominated streets become openness-dominated from autumn winter pavement-dominated crowdedness-dominated summer due vegetation phenology human activities. case study showed provides dynamic explainable perspective understanding urban design qualities for walkability. It facilitates connection between assessment built environment analysis derived images will inform planners governments building walkable further promote active transport.
Language: Английский
Citations
7
npj Urban Sustainability, Journal Year: 2023, Volume and Issue: 3(1)
Published: July 25, 2023
Abstract Urban networks play a vital role in connecting multiple urban components and developing our understanding of cities systems. Despite the significant progress we have made how city are connected spread out, still lot to learn about meaning context these networks. The increasing availability open data offers opportunities supplement with specific location information create more expressive machine-learning models. In this work, introduce Urbanity, network-based Python package automate construction feature-rich anywhere at any geographical scale. We discuss sources, features software, set representing five major around world. also test usefulness added by classifying different types connections within single network. Our findings extend accumulated knowledge spaces flows affirm importance contextual for analyzing
Language: Английский
Citations
15
Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 112, P. 105635 - 105635
Published: July 1, 2024
Language: Английский
Citations
5
International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2024, Volume and Issue: 131, P. 103936 - 103936
Published: May 31, 2024
Monitoring of mining-induced subsidence dynamics enables to the exploration and analysis changes in direction surface deformation caused by extraction underground resources. Both human activities geological environments affect these a large extent. LuTan-1 (LT-1) satellite as first SAR mission with L-band bistatic spaceborne China, provides continuous imagery for analyzing deformations through differential interferometry, offering valuable velocity results using stacking techniques. The bowl obtained from LT-1 closely align those Sentinel-1 almost same period Datong, China. Furthermore, we validated DInSAR GNSS data corresponding time frames. Notably, observed significant improvement quality accuracy datasets due in-orbit performance test. Finally, explored pertinent mining four different periods. These revealed substantial on shape spatial location bowls over time. This indicates maximum horizontal displacement directional change approximate 1.429 km an average face advance rate between 0.724 6.355 m/day within about one-year period. Lastly, accumulated gradient maps, derived results, were overlaid distribution critical infrastructures study areas assess their exposure subsidence, validation process was carried out GF-7 optical images. emphasizes potential monitor its capability joint infrastructures.
Language: Английский
Citations
4
Computers Environment and Urban Systems, Journal Year: 2025, Volume and Issue: 117, P. 102253 - 102253
Published: Jan. 23, 2025
Language: Английский
Citations
0
ISPRS International Journal of Geo-Information, Journal Year: 2025, Volume and Issue: 14(2), P. 47 - 47
Published: Jan. 25, 2025
Precision beekeeping focuses on ICT approaches to collect data through various IoT solutions and systems, providing detailed information about individual bee colonies apiaries at a local scale. Since the flight radius of honeybees is equal several kilometers, it essential explore specific conditions selected area. To address this, aim this study was potential using crowdsourced combined with geographic system (GIS) support beekeepers’ decision-making larger This investigated possible methods for processing open geospatial from OpenStreetMap (OSM) database environmental analysis assessment suitability areas. The research included developing obtaining, classifying, analyzing OSM data. As result, structure retrieval were studied. Subsequently, an experimental spatial classifier developed applied evaluate territories beekeeping. For demonstration purposes, prototype web-based GIS application showcase results illustrate general concept solution. In conclusion, main goals further development identified, along scenarios applying approach in real-world conditions.
Language: Английский
Citations
0
Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: Feb. 17, 2025
Abstract Critical infrastructures provide essential services for our modern society. Large-scale natural hazards, such as floods or storms, can disrupt multiple critical at once. In addition, a localized failure of one service trigger cascade failures other dependent services. This makes it challenging to anticipate and prepare adequately direct indirect consequences events. Existing methods that are spatially explicit consider dependencies currently lack practicality, they require large amounts data. To address this gap, we propose novel method called DISruptionMap which analyzes complex disruptions infrastructure The proposed combines (i) spatial models assess with (ii) dependency model (cascading) disruptions. A fault tree-based approach is implemented, resulting in significant decrease the information required set up model. We demonstrate effectiveness case study examining impact an extreme flood on health, transport, power Cologne, Germany.
Language: Английский
Citations
0
Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112782 - 112782
Published: Feb. 1, 2025
Language: Английский
Citations
0