GRSS “Special Stream on International Conference on “Machine Intelligence for GeoAnalytics and Remote Sensing” (MIGARS 2025)
The IEEE GRSS community is advancing research on machine intelligence applications for geoanalytics and remote sensing (MIGARS) through an annual international conference. MIGARS explores the intersection of machine intelligence (MI), geoscience, geo-analytics (GA) and remote sensing (RS). After successful editions in 2023 (Hyderabad, India) and 2024 (Wellington, New Zealand), the conference moved in 2025 to Bucharest, Romania, where it welcomed participants from 24 countries spanning six continents (Europe, Asia, North America, South America, Africa, and Australia/Oceania).
With the tremendous advancements in sensing platforms and data acquisition technologies, remote sensing data streams have grown enormously in volume, variety, and veracity. The central challenge lies in handling, processing, automating, and transforming such complex geo-data, originating from multi-platform RS sensors and Internet-of-Things devices, into clear, actionable insights for decision-making and monitoring our planet. MIGARS 2025 was dedicated to addressing these challenges by showcasing advances in intelligent computational approaches, thereby fostering innovative geo-data-driven solutions that serve science, technology, and society.
Totally 57 high-quality papers were accepted and presented at the conference, covering a broad spectrum of topics including artificial intelligence, remote sensing, geosciences, spatial analytics, climate change, and environmental research. This Special Stream provides an opportunity for authors to expand on their contributions and publish more comprehensive results.
List of Topics
MIGARS is committed to fostering collaboration and exploring the potential use of intelligent computational approaches for geo-data-based solutions that serve society at large. Submissions are invited on a comprehensive range of topics, reflecting the latest advancements and applications in the field, including but not limited to:
- Multispectral; hyperspectral remote sensing
- Microwave remote sensing
- LiDAR remote sensing
- UAV-based remote sensing
- Mission, Sensors, and Calibration
- Big data applications for geosciences
- Geospatial data analytics
- Statistical machine learning
- Deep learning
- Expert systems
- Computational intelligence
- Evolutionary computing
- Climate informatics
- Data analysis and spatial data visualization
- Temporal data analysis, prediction, time series analysis
- Uncertainty quantification in geoscience and remote sensing
- Monitoring and damage assessment of natural disasters and hazards
- Applications for early warning, environmental monitoring and climate change
- Applications for land, biodiversity and soil science
- Applications for forestry and agriculture
- Applications for water management, sea, oceans and atmosphere
Guest Editors:
- Prof. Andrei Anghel, Politehnica Bucharest, Romania (lead editor)
- Prof. Mihai Datcu, Politehnica Bucharest, Romania (lead editor)
- Prof. Anamaria Rădoi, Politehnica Bucharest, Romania
- Assoc. Prof. T. Hitendra Sarma, Vasavi College of Engineering, Hyderabad, India
- Prof. Avik Bhattacharya, Indian Institute of Technology Bombay, India
Schedule:
- Submission System Open: December 1, 2025
- Submission System Close: February 28, 2026
All submissions must be formatted using the IEEE standard format (double-column, single-spaced) typically 4-5 pages. Please use the following link to download the article template: template-selector.ieee.org/secure/templateSelector/format?publicationTypeId=1�…. All submissions will be peer-reviewed according to the GRSL guidelines. Submitted articles should not have been published or be under review elsewhere. Submit your manuscript to ieee.atyponrex.com/journal/grsl , using the Author Portal interface, and select the specific stream.
