Applied Geomatics
Scope & Guideline
Connecting disciplines through rigorous research in geomatics.
Introduction
Aims and Scopes
- Geospatial Analysis and Modeling:
The journal extensively covers research that utilizes geospatial analysis and modeling techniques to solve complex spatial problems, including urban planning, resource management, and environmental monitoring. - Remote Sensing Applications:
Applied Geomatics publishes studies that leverage remote sensing technologies for applications such as land cover classification, environmental monitoring, and disaster management, highlighting the integration of satellite and aerial imagery. - Decision Support Systems:
The journal focuses on the development of decision support systems using multi-criteria decision analysis (MCDA) and other frameworks to enhance decision-making processes in various fields, including urban planning and environmental management. - Groundwater and Resource Management:
A significant portion of the research addresses groundwater potential assessment, recharge modeling, and resource management, applying advanced geospatial techniques and analytical processes. - Machine Learning and Artificial Intelligence in Geomatics:
There is a growing emphasis on the integration of machine learning and artificial intelligence techniques for improving geospatial data analysis, classification, and predictive modeling.
Trending and Emerging
- Integration of Artificial Intelligence and Machine Learning:
There is a marked increase in studies that apply AI and machine learning techniques to enhance geospatial data analysis, improve classification accuracy, and facilitate predictive modeling, indicating a trend towards automation in geomatics. - Use of Unmanned Aerial Vehicles (UAVs):
Research utilizing UAVs for mapping, monitoring, and data collection has surged, showcasing their effectiveness in various applications from urban planning to environmental monitoring. - Climate Change Impact Assessment:
There is a growing focus on assessing the impacts of climate change using geospatial technologies, particularly in relation to land use changes, resource management, and environmental sustainability. - Advanced Remote Sensing Techniques:
Emerging methodologies in remote sensing, including the integration of SAR data and advanced image processing techniques, are increasingly being explored to address complex environmental challenges. - Geospatial Decision Support for Disaster Management:
The trend towards developing geospatial decision support systems specifically for disaster risk reduction and management is becoming more prominent, reflecting the need for enhanced preparedness and response strategies.
Declining or Waning
- Traditional Surveying Techniques:
There has been a noticeable decline in the publication of research focused solely on traditional surveying techniques, as the field has increasingly shifted towards the application of advanced technologies such as UAVs and GNSS. - Basic Land Use Planning:
Research papers concentrating on basic land use planning without the integration of advanced geospatial tools and methodologies have become less frequent, indicating a move towards more complex analyses involving multi-layered data. - Static Geographic Information Systems (GIS) Applications:
The focus on static GIS applications, which do not incorporate dynamic data or real-time analysis, is diminishing as there is a growing demand for more interactive and real-time geospatial applications.
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