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Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS)

GRSS Special Stream on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS)

 

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), it continues to connect researchers across disciplines like AI, engineering, remote sensing, and geosciences. With over 370 delegates and 334 research papers submitted globally, 117 high-quality papers were published in IEEE Xplore. This Special Stream provides an opportunity for authors to expand on their contributions and publish more comprehensive results.

Submissions to this IEEE GRSL Special Stream should be extended versions of papers already published in the MIGARS Proceedings on IEEE Xplore. In the cover letter, please include the corresponding paper ID from MIGARS 2023 or MIGARS 2024.

Guest Editors:

  • Dr. Gabor Kereszturi, Massey University, New Zealand
  • Dr. T. Hitendra Sarma, Vasavi College of Engineering, Hyderabad, India (Lead Editor)
  • Dr. Melody Whitehead, Massey University, New Zealand (Lead Editor)
  • Dr. Rama Rao, Indian Institute of Space Science and Technology (IIST), Thiruvananthapuram, India
  • Dr. Matthew Wilson, Canterbury University, New Zealand
  • Dr. Avik Bhattacharya, Indian Institute of Technology Bombay, India

Schedule:
Submission System Open: 1 Oct 2024
Submission System Close: 31 Jan 2025

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. All submissions will be peer-reviewed according to the GRSS guidelines. Submitted articles should not have been published or be under review elsewhere. Submit your manuscript to mc.manuscriptcentral.com/grsl, using the Manuscript Central interface, and select our specific stream. Accepted papers are subject to GRSL’s usual publication charges.