Guest Editor(s)
Assist. Prof. Jerome Gabutero Gacu
Email: jeromegabuterogacu@rsu.edu.ph
Affiliation: Department of Civil Engineering, Romblon State University, Romblon, 5505, Philippines
Homepage:
Research Interests: GIS, Remote Sensing, environmental monitoring, land suitability assessment, urban and rural planning, disaster risk mapping, vulnerability assessment, climate resilience, spatial decision support, environmental indices
Dr. Cris Edward F. Monjardin
Email: cefmonjardin@mapua.edu.ph
Affiliation: School of Civil, Environmental and Geological Engineering, Mapua University, 1002, Intramuros Manila, Philippines
Homepage:
Research Interests: environmental engineering, water resources management, flood risk assessment, GIS, hazard analysis, heavy metal contamination, machine learning in environmental monitoring
Dr. Kevin Lawrence De Jesus
Email: kmdejesus@feutech.edu.ph
Affiliation: Department of Civil Engineering, FEU Institute of Technology, Manila, 1015, Philippines
Homepage:
Research Interests: GIS, Remote Sensing, environmental engineering, groundwater contamination, heavy metal pollution, environmental risk assessment, machine learning, spatial analysis, geospatial modeling, sustainable resource management.
Dr. Sheikh Kamran Abid
Email: shkamranabid@gmail.com
Affiliation: Faculty of Technology Management and Business (FPTP), Universiti Tun Hussein Onn Malaysia, Johor, 86400, Malaysia
Homepage:
Research Interests: GIS, disaster management, flood vulnerability, disaster risk reduction, climate & disaster resilience
Summary
The accelerating pace of environmental changedriven by urbanization, climate variability, and resource pressureshas placed geospatial technologies at the forefront of modern environmental science. Remote Sensing (RS) and Geographic Information Systems (GIS) are not only essential for observing and understanding these dynamics but also for designing adaptive and data-driven solutions.
This Special Issue of Revue Internationale de Gomatique (RIG) invites high-quality, peer-reviewed contributions that showcase novel and impactful applications of RS and GIS in environmental monitoring and sustainable management. We seek interdisciplinary research that integrates spatial technologies with machine learning, artificial intelligence, cloud computing, citizen science, and policy tools to tackle environmental challenges at various scales.
We encourage submissions that bridge theory and practice, demonstrate methodological innovations, or present significant case studies from both developed and developing contexts. This Special Issue aims to serve as a platform for advancing geospatial science in support of climate resilience, ecosystem health, disaster risk reduction, and sustainable development.Specific themes:
· Advanced Remote Sensing and GIS Applications for Monitoring Environmental Degradation and Ecosystem Change
· Climate Impact Assessment and Resource Management through GIS-based Modeling
· AI and Machine Learning Integration with RS/GIS for Predictive Environmental Analysis
· Geospatial Tools in Environmental Policy, Planning, and Decision-Making
· Real-Time and Cloud-Based Geospatial Platforms for Environmental Monitoring
· Participatory GIS and Crowdsourced Data in Community-Based Environmental Monitoring
· Development of Novel Indices and Indicators from Multi-source Geospatial Data
Keywords
Remote Sensing, GIS, Environmental Monitoring, Sustainable Management, Geospatial Innovation, Machine Learning, Climate Resilience, Ecosystem Assessment, Spatial Decision Support, Environmental Policy
Published Papers
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