Theme of Conference

Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS) 2023 is the first of its kind effort to have a joint event of two primary emerging IEEE Societies; Geoscience and Remote Sensing (GRSS) and Computational Intelligence Society (CIS). MIGARS aims to explore the confluence of advances in machine intelligence (MI) approaches to geoscience, geo-analytics (GA), and remote sensing (RS). Thanks to the revolutionary developments in remote sensor technology, data acquisitions have grown leaps and bounds to stream and are too big by volume, variety, and veracity. The challenge is handling, processing, and automating geo-data from various sources such as multi-platform RS sensors and IoT devices and making intelligent decisions on the fly. The focus of the conference is to connect researchers from computing, MI, GA, and RS domains and look for the potential use of intelligent computational approaches for geo-data based applications and serve society at large.   

This conference is Technically Co-Sponsored by IEEE Geoscience and Remote Sensing Society (GRSS). [Conference Record #57353]

It is also Technically Co-Sponsored by ACM Hyderabad  Deccan  Chapter.

Call for Papers

Papers are invited on the following topics (but not limited to)

  • Multispectral & hyperspectral remote sensing
  • Microwave remote sensing
  • LiDAR remote sensing
  • UAV-based remote sensing
  • Monitoring and damage assessment of natural disasters and hazards
  • AI applications in agriculture, hydrology, forest, and environmental monitoring
  • Atmosphere and ocean
  • Climate informatics
  • Mission, Sensors, and Calibration
  • Statistical machine learning
  • Deep learning
  • Evolutionary computing
  • Computational intelligence
  • Data analysis and spatial data visualization
  • Temporal data analysis, prediction, time series analysis
  • Expert systems
  • Big data applications
  • Geospatial data analytics
  • Uncertainty quantification in geoscience and remote sensing

Paper Submission

Please read the following paper submission guidelines before submitting your papers:


  • Submissions should be original and not currently under review at another venue.
  • Papers will be checked for similarity using iThenticate. The Technical Program Committee (TPC) reserves the right to desk-reject a paper if it contains elements that have a high overlap with published works. The TPC recommends <20% similarity.
  • Each paper is limited to 4 pages, including figures, tables, and references.
  • All papers must be submitted through the following online submission system.
  • The TPC reserves the right to desk-reject a paper that does not fit within the scope of the conference, which pertains to all aspects of geoscience and remote sensing.

LaTeX and Word Templates

To help ensure correct formatting, please use the IEEE style files for conference proceedings as a template for your submission. These include LaTeX and Word style files.


Click here to Download

Publication and Indexing

  • All the accepted and presented papers will be published in the proceedings and will be uploaded to IEEE Xplore.
  • Some of the selected papers will be mentored by experts in the relevant field to enhance the quality to be published in a reputed IEEE Journal.
  • Extended versions of the papers that are presented at the conference will be considered for publication in a special issue of IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS)/Geoscience and Remote Sensing Letters (GRSL). (Proposal for the special issue is in progress)

Our Speakers

Keynote Speakers

Mihai Datcu
German Aerospace Center DLR, Wessling, Germany

IEEE Fellow

Mihai Datcu
German Aerospace Center DLR, Wessling, Germany
Laxmidhar Behera
Director, IIT Mandi, India

Laxmidhar Behera
Director, IIT Mandi, India
Carlos A. Coello Coello
CINVESTAV-IPN (Evolutionary Computation Group) Mexico City, Mexico

Professor, Department of Computer Science, CINVESTAV-IPN (Evolutionary Computation Group) Mexico City, Mexico

Carlos A. Coello Coello
CINVESTAV-IPN (Evolutionary Computation Group) Mexico City, Mexico
D. Nagesh Kumar
Professor, Indian Institute of Science Bangalore, India

Professor, Water Resources and Environmental Engineering, Department of Civil Engineering Associate Faculty, Centre for Earth Sciences (CEaS) Associate Faculty, Divecha Centre for Climate Change (DCCC) Indian Institute of Science Bangalore, India

D. Nagesh Kumar
Professor, Indian Institute of Science Bangalore, India

Tutorial Speakers

Sumantra Dutta Roy
Professor, Indian Institute of Technology, Delhi, India

Professor, Department of Electrical Engineering, Indian Institute of Technology, Delhi

Sumantra Dutta Roy
Professor, Indian Institute of Technology, Delhi, India
Suraj Reddy R
Scientist SE, National Remote Sensing Centre (ISRO), Hyderabad, India.

Scientist SE, Forestry and Ecology group, National Remote Sensing Centre (ISRO), Hyderabad, Telangana, India.

Suraj Reddy R
Scientist SE, National Remote Sensing Centre (ISRO), Hyderabad, India.


Alejandro C. Frery
Victoria University of Wellington, Wellington, New Zealand

Professor, Victoria University of Wellington, Wellington, New Zealand

Alejandro C. Frery
Victoria University of Wellington, Wellington, New Zealand

YP Session Speaker

K.S. Rajan
Professor & Registrar Ph.D (University of Tokyo), International Institute of Information Technology Gachibowli Hyderbad, India

K.S. Rajan
Professor & Registrar Ph.D (University of Tokyo), International Institute of Information Technology Gachibowli Hyderbad, India
Avinash Maramraju
Vice President - University Space Missions, Dhruva Space Private Limited

Graduated with MS in Electrical Engineering from the University of Massachusetts in 2003. Graduated with MBA in Finance and IT from the same university in 2006.
Worked for 18 years in different roles, from Business Analyst, Program Manager, Associate Director, Head of Delivery, PreSales Head, etc. in areas of SAP, and Microsoft technologies. Experienced in multiple domains like Infrastructure, Manufacturing, IT, and ITES.
Cross over from SAP to Space, leveraging transferrable skills and learning new ones.
Started third Masters's degree in Space System Engineering from Florida State University in Aug 2020, with the roadmap for the doctoral program in the same area
Joined Dhruva Space in Nov 2021
A strong believer that Universities have a critical role in the space economy and have the potential to be game changers in this eco-system
Meaningful and outcome-driven collaboration with the universities is the primary objective of my role at Dhruva Space.

Avinash Maramraju
Vice President - University Space Missions, Dhruva Space Private Limited

WIE/STEM Speaker

Dr. Novaline Jacob
Deputy Director (Advanced techniques, Video data & Geospatial Applications Area) ADRIN, Dept of Space

Dr. Novaline Jacob
Deputy Director (Advanced techniques, Video data & Geospatial Applications Area) ADRIN, Dept of Space

Industry Research Talk

Michal Shimoni
Head of Analytics and Applications Kuva Space, Finland

Michal Shimoni
Head of Analytics and Applications Kuva Space, Finland

Event Schedule

Indian Standard Time (IST)

27 January 2023

09:30 - 12:00

Sumantra Dutta Roy
Professor, IIT Delhi
Deep Networks in Vision: an Unwilling Skeptic's View

The talk will be a random walk through deep architectures for some computer vision tasks, as seen from the eyes of a perennial Doubting Thomas and an unwilling and reluctant skeptic. The talk will focus on the speaker's struggles to come to terms with concepts which have physical significance, but comparatively little in terms of mathematical rigour, or algorithmic efficiency, but have the potential to produce hitherto unseen levels of startling results. The talk will start from scratch, delve a bit into history and timelines, and look into some computer vision applications of deep neural networks based on his limited understanding of traditional machine learning, and try to delve into related concepts, half of which he cannot readily explain well. The talk will use a `confuse if not convince' approach, and fervently hope that the confusion matrix approximates a diagonal one.

12:00 - 13:30

Alejandro C. Frery
Professor, Victoria University of Wellington, Wellington, New Zealand
How to turn your Conference article into a Journal paper

In this workshop, we will see practical steps leading from ongoing research (materialized in a conference article) to consolidated manuscripts with good chances of being accepted for publication in a journal. To this end, we will review the principles of scientific research, including reproducibility and replicability. We will enhance the importance of preparing a reproducible article using, for instance, Quarto. We will also discuss typing assistants, version control systems, and collaborative tools.

13:30 - 14:30

14:30 - 17:00

Suraj Reddy
Scientist SE, Forestry and Ecology group National Remote Sensing Centre (ISRO),India.
Machine Learning for Remote Sensing Data Analysis

Remote sensing data availability has exploded in recent years due to the rapid advancement of Earth observation technologies and data policies, creating significant challenges for effective and efficient processing and analysis. Machine learning gathers substantial context due its ability to typically model complex characteristics in the data to learn new patterns and predict new outcomes while reducing human intervention. The ability of machine learning algorithms to handle a wide range of predictors and accept data without making any assumptions about the distribution of the data makes them the perfect choice for automating and improving remote sensing data analysis to draw fresh conclusions from complicated scenarios.

The objectives of this tutorial are to (1) provide a fundamental understanding of the requirements for machine learning algorithms in the analysis of remote sensing data, (2) establish a deep understanding of machine learning algorithms used in remote sensing data processing, (3) discuss challenges involved in building machine learning models and the impact of training data on model performance in the context of remote sensing data, and (4) use real-world examples to highlight the advantages and drawbacks of machine learning algorithms.

28 January 2023

10:00 - 10:15

10:15 – 11:15

Lakshmidhar Behara
Director, IIT Mandi
Development of Cognitive Robotic Systems: Challenges and future perspectives

Robots have evolved from caged environments to be able to operate within sociable platforms. Warehouse automation, Smart Education, Healthcare and entertainment have played significant roles for such a transformation where robots behave more human-like. In this talk, some selected applications in warehouse automation will be presented. An example will be presented to illustrate if such robotic systems are really cognitive in real sense!

Next, the efficacy of imitation learning will be demonstrated in the development of cognitive robotic systems. The challenges while naturalizing strong AI in robotic systems will be enumerated.

11:15 – 12:15

Mihai Datcu
CEO SpaceTech, University POLITEHNICA of Bucharest (UPB) Romania Earth Observation Center (EOC), German Aerospace Center (DLR), Germany
Quantum Computing for Earth Observation

At present, quantum computing and AI are the key technologies in the digital era. The progress and transfer of quantum resources for use in practical applications is in constant acceleration. Quantum computing, quantum annealing, quantum circuits, or simulators for quantum computing are currently easily accessible. The exploitation of quantum physics effects such as superposition and entanglement opens new, still unexplored perspectives. Yet, with very limited capacities, hundreds of qubits, they draw the attention stimulating the new area of quantum machine learning.
In this context the presentation will focus on relevant aspects of quantum technologies for EO. With the goal to identify if a quantum algorithm may bring any advantage compared with classical methods, will be firstly analysed the data complexity (i.e. data as prediction advantage). Secondly, it will be presented the classes of complexity of the algorithms. Thirdly, it will be identify major challenges in EO which could not yet be solved by classical methods, as for instance the causality analysis.
Data embedding is of key importance. Non-quantum data are many times “artificially” encoded at the input of quantum computers, thus quantum algorithms may not be efficient. For instance the polarimetric SAR data are represented on the Poincare sphere which maps in a natural way to the qubit Bloch sphere. Thus, PolSAR data will not be any more processed as “signal” but directly as a physical signature. Further will be discussed the advantages of quantum annealing (D-Wave) for solving local optimization for non-convex problems. Also, the potential and advantage of the recent TensorFlow Quantum and the implementation of parametrized quantum circuits (PQC). The presentation will address the entire EO data cycle encompassing the particular features from data acquisition, understanding and modelling of the EO sensor, followed by information extraction. The quantum ML techniques are practically implemented using the open access to various quantum computers, as D-Wave, IBM, or Google. Hybrid methods will be discussed for EO, i.e. managing the I/O of the data and maximally use the resources of quantum computers and quantum algorithms.

12:15 – 13:30

TS 1.1.1: Vegetation (Oral)
Paper IDs: 8584, 3476, 9865, 7124, 7493, 1343

TS 1.1.2: Agriculture/Urban Models (Oral)
Paper IDs: 9818, 9351, 4448, 5461, 9118, 2912

TS 1.1.3: Agriculture/Vegetation (Poster)
Paper IDs: 2355, 9429, 182, 8800, 527, 2336, 8305, 2311

15.00 - 15:15

TS 1.2.1 : Land-based Applications/Google Earth (Oral)
Paper IDs: 1902, 3566, 4897, 7650, 8666, 8857, 4885

TS 1.2.2: Registration/Segmentation/Statistics (Oral)
Paper IDs: 1988, 3260, 9296, 3230, 3446, 8497, 1076

TS 1.2.3 : Hydrology/Hyperspectral/Multispectral-Image Analysis (Poster)
PaperIDs: 1050,2238,6181,560,7397,1816, 8665, 7087, 2981

K.S. Rajan & Avinash Maramraju
K.S. Rajan - Professor & Registrar, IIIT Hyderabad ; Avinash Maramraju - VP Univ Space Missions - Dhruva Space Dhruva Space Bengaluru, Karnataka, India
``How to engage in Research?`` & ``Space as a Career option: Technology Roadmap & Opportunities``
18:30 - 19:15

20:00 – 22:00

29 January 2023

09:00 - 10:00

Carlos A. Coello Coello
Department of Computer Science CINVESTAV-IPN (Evolutionary Computation Group), Mexico City, Mexico
Where is the research on evolutionary multi-objective optimization heading to?

In the first part of this talk we will take a quick look at some of
these developments, focusing mainly on some of the most important recent
achievements. In the second part of the talk, a critical analysis will be made of the
by analogy research that has proliferated in recent years in specialized
journals and conferences (perhaps as a side effect of the abundance of
publications in this area). Much of this research has a very low level of innovation and
almost no scientific input, but is backed by a large number of statistical
tables and analyses. In the third and final part of the talk, some of the
future research challenges for this area, which, after 37 years of existence,
is just beginning to mature, will be briefly mentioned.

10:00 - 10:15

10:15 – 11:15

D. Nagesh Kumar
Professor, IISc, Bangalore
Deep Learning and its Applications in Geospatial Data Analytics

Deep Learning (DL) is gaining considerable significance in various domains of Civil Engineering due to its capability learn unknown non-linear processes, dimensionality reduction, data mining, and bid data processing. DL is subset of Machine Learning which is a subset of Artificial Intelligence. Common DL networks such as Deep Neural Networks (DNN), Convolution Neural Networks (CNN), Auto Encoders (AE), and Recurrent Neural Networks (RNN) will be discussed. DL applications in transportation sector, urban infrastructure monitoring, agriculture & forest management, earth observation data applications in the domains of UN sustainable development goals, flood mapping, hyperspectral remote sensing etc. will be presented. Deep Learning can play a vital role in knowledge extraction by huge data mining which is essential for sustainable growth in different domains of Civil Engineering

TS 2.1.1: Hydroclimatology/Floods (Oral)
Paper IDs: 4152, 3538, 1354, 4445, 3253, 7307

TS 2.1.2: Climate-Atmosphere/Image Processing/Remote Sensing/ MR-Sensors (Poster)
PaperIDs: 4368, 569, 1069, 1442, 9049, 4534

12:45 – 13:30

13.30 – 14:15

Novaline Jacob
Deputy Director (Advanced techniques, Video data & Geospatial Applications Area), ADRIN Dept of Space, Govt. of India
Push beyond your limits to achieve your goals
Michal Shimoni
Head of Applications Kuva Space Espoo, Finland
A new industrial era for spaceborne remote sensing

In the last few years, we have witnessed the privatisation and commercialisation of the space industry, which has changed the way we explore space, observe the earth, and conduct research. Once, it was nearly impossible for a startup to come up with a new space-related solution without investing large sums of money into developing and launching space assets. Not to mention the legal ramifications. Today, small and large companies can both adopt new business models thanks to the substantial drop in satellite and launch prices, the proliferation of ground stations, satellite tracking radars, and cloud services.

The talk discusses the technological and commercial environments that led to this industrial revolution. It showcases how new technologies, earth observation and AI-based models, space data, remote sensing, satellite constellations, and cloud services interact and shape the future right in front of our eyes. In addition, it illustrates the impact of advanced machine and deep learning methods on data acquisition, processing chains, cloud computing, and data exploration.

15.45 – 16:00

TS 2.1.1: Hyperspectral Imaging/SAR Imaging/Disasters (Oral)
Paper IDs: 7957, 5718, 1301, 2442, 9320, 3816

TS 2.2.2: LandbasedApplications/Disasters/Urban Models (Poster)
Paper IDs: 7143, 1073, 5087, 1257, 7946, 8686

Important Dates

Paper Submission OpenJuly 1, 2022
Paper Submission DeadlineOctober 15, 2022
Notification of AcceptanceNovember 30, 2022
Registration Open December 1, 2022
Student Travel Grant Application OpensDecember 15, 2022 
Student Travel Grant Application Deadline  December 25, 2022
Sponsorship & Exhibition Application Deadline  December 25, 2022
Notification of Travel Grant Results  December 31, 2022   January 10, 2023
Accepted Paper Registration Deadline  December 31, 2022  January 10, 2023
Final Camera-Ready Submission of Accepted PapersDecember 31, 2022  January 10, 2023
Pre-Conference Tutorials & WorkshopJanuary 27, 2022
MIGARS ConferenceJanuary 28-29, 2023


Check out the following table and find the registration fee applicable in your category. (Including all taxes)

For Non-Authors

To encourage non-author participation in Tutorials, workshops, and also for 2-Days Conference Sessions we offer the following revised registration fee with a discount.

  • Tutorial & Workshop: 500/- (INR)   or 20 USD
  • 2-Days Conference Sessions: 1000/- (INR)  or 50 USD


Registration fee includes

  • Entrance to all sessions of the Conference, including presentations from a diverse group of international researchers and keynote sessions.
  • For registered authors, complimentary access to pre-conference tutorials.
  • Interactive networking sessions at the conference.
  • Publication of conference paper in the conference proceedings (For Authors).
  • Participation Certificate.
  • High Tea and Lunch for in-person non-authors.
  • High Tea, Lunch, and Banquet for in-person authors.

Our Sponsors

Host Institute and Main Sponsor


Technical Co-Sponsors

Event location

Here, you will find directions to the conference venue : Vasavi College of Engineering, Hyderabad


Vasavi College of Engineering, Hyderabad, India




Frequently Asked Questions

Check out the FAQs to find the answers to common questions. Can't find your question answered here? Contact us.

Is the conference online or offline?

Event Format is Hybrid

Is there any travel grant available for students?

YES. A limited number of student travel grants are available. The process will be announced through the website later.

Who is eligible to avail student travel grant?

Indian students/researchers with IEEE GRSS membership are eligible to apply for travel grants. Travel Grant for authors from other countries will be notified based on the availability of sponsors.

Will you provide any letter to get VISA if my paper is selected for presentation?

A letter of invitation will be provided to each foreign author based on their request to apply for VISA to attend the conference.

What are the local attractions in Hyderabad to explore?

There are many places to visit in and around Hyderabad. The local food particularly “Hyderabadi special spices” is very much popular.

For further details visit: