International Journal of Applied Earth Observation and Geoinformation
Call for papers: GeoAI and earth observation advances and future trends
The 5-10 years vision of trends in geospatial information management and geomatics technologies, including LiDAR, drones, and earth observation systems, gives us insights into future location-based and social sensing techniques for environmental changes and reducing disaster risks. At the same time, they reveal the enormous potential for applying Geospatial Artificial Intelligence (GeoAI) and related cross-disciplines to determine natural hazards, manage disaster risk, create a better smart city, and empower a resilient environment.
In recent years, environmental changes and rapid economic growth have increased the frequency and intensity of disasters, such as floods, earthquakes, landslides, subsidence, hurricanes, air, water and soil pollution, oil spills, fires, and wildfires. It impacts the environment, agriculture, urban, transportation etc. Understanding, monitoring, predicting, and assessing impacts from disasters (i.e., pre-and-post) will help reduce loss, mitigate and prevent future damage to a community, strengthen infrastructures, and create a more robust and resilient environment. It is clear that the power of geomatics, drones, earth observation systems, GIS, and social engagement through time-series data, social media (e.g., Twitter, Youtube, WhatsApp, WeChat, etc.) and social sensing plays a significant role in collecting the right and accurate information, loss reduction and disaster response and create sustainable cities and environment. In this regard, communities rely on timely and adequate geospatial and location-based information to make scientific decisions regarding environmental changes and responses to world’s concerns. From a more macro perspective, to build a better environment for future generations, we need to better monitor, analyze, predict, and assess climate change and disasters' environmental, social and economic impacts. Besides, they create a huge demand for integration between remote sensing, GIS, artificial intelligence techniques for geospatial data, and the Internet of Things (IoT).
This special issue aims to question how to enhance the power of AI, DL, and ML in geomatics, drones, earth observation systems, and location-based information and social sensing for applications like natural hazards and disaster management, environmental changes, water and sea, soil and agriculture, urban, transportation and make the environment stronger and more resilient. Moreover, this special issue focuses on GeoAI and Geospatial Explainable Artificial Intelligence (GeoXAI) techniques, implementing novel technologies, methods, and algorithms, exploring new applications, and developing Geo Apps. Research and solutions will address global-regional-local concerns related to environmental changes, predicting, modelling, mapping, and community resilience. Topics for this special issue include, but are not limited to:
(1) GeoAI and GeoXAI techniques for disaster and environmental management & resilience, including ML, DL, cloud computing, knowledge graph, algorithmic data analytics, and Geo Apps.
(2) Various techniques in risk communication, including data sharing, public engagement and participation, and social media mining.
(3) Disaster information extraction and monitoring, including disaster environment, infrastructures, urban, soil and agriculture, transportation, forest, water and marine, and public awareness utilizing location-based information, social sensing, using related remote sensing and GIS techniques.
(4) Applications of extended reality in disasters, including scalability, localization, and immersive analysis.
(5) Future trends of GeoAI and earth observations.
Guest editors:
Dr. Adam/Saeid Pirasteh
Institute of Artificial Intelligence, Shaoxing University, Shaoxing, China
s2pirast@uwaterloo.ca
Institute of Geodesy and Geoinformation, University of Bonn, Bonn, Germany
li@igg.uni-bonn.de
Dr. Masood Varshosaz
Faculty of Geomatics Engineering, K.N. Toosi University of Technology, Tehran 15433-19967, Iran
varshosazm@kntu.ac.ir
Dr. Fabiola D. Yépez Rincón
Department of Geomatics, Faculty of Civil Engineering, Universidad Autónoma de Nuevo León (UANL), San Nicolás de los Garza, N.L., Mexico
fabiola.yepezrn@uanl.edu.mx
Dr. Michael J. Starek
School of Engineering and Computing Sciences, Conrad Blucher Institute for Surveying and Science, Texas A&M University-Corpus Christi, Corpus Christi, TX, USA
michael.starek@tamucc.edu
Manuscript submission information:
Authors can submit manuscripts for the Special Issue using Editorial Manager, the online submission system for the International Journal of Applied Earth Observation and Geoinformation. Please select “VSI:GeoAI & EOA” and the article type. Submitted manuscripts will be peer-reviewed according to the guidelines available on the website of the journal. Please note that articles will be published separately, in different volumes, after they are accepted and will be grouped together online as a Special Issue.
Please submit the full manuscript to Editorial Manager, by April 30, 2024.
Submission deadline: April 30, 2024
Keywords:
GeoAI, Earth Observations & Applications, Environmental Changes, Disaster Risk Reduction and Management, GIS, Geomatics, Geospatial Information, Future Trends
