Satellite Image-Based Change Detection Using Hyperspectral and Multispectral Imaging

Event Date: 5^th March 2024

Dr. Neelam Dhaiya, a renowned expert in remote sensing and satellite imaging, delivered an expert talk on the topic of "Satellite Image-Based Change Detection Using Hyperspectral and Multispectral Imaging." The talk aimed to elucidate the methodologies and advancements in utilizing satellite imagery for detecting changes in various landscapes.

Attendance:

The expert talk drew significant interest, with approximately 51 attendees present including Faculties and students. Notably, the audience comprised individuals both from within and outside the university, indicating the broad appeal and relevance of the subject matter.

Key Points Covered:

1. Fundamentals of Satellite Imaging: Dr. Dhaiya initiated the session by providing an overview of satellite imaging technology, emphasizing the differences between hyperspectral and multispectral imaging techniques. She elucidated how these technologies capture data across different wavelengths, enabling the detection of subtle changes in the Earth's surface.
2. Applications of Change Detection: The speaker highlighted the diverse applications of change detection utilizing satellite imagery, ranging from environmental monitoring to urban planning and agriculture. She showcased real-world examples where satellite imagery has been instrumental in identifying changes such as deforestation, land cover alterations, and urban expansion.
3. Methodologies and Algorithms: Dr. Dhaiya delved into the various methodologies and algorithms employed for change detection analysis. She discussed traditional techniques such as image differencing and image rationing, as well as more advanced approaches involving machine learning and deep learning algorithms.
4. Challenges and Future Directions: The talk also addressed the challenges associated with change detection using satellite imagery, including data preprocessing complexities, spectral confusion, and limited temporal resolution. Dr. Dhaiya offered insights into ongoing research efforts aimed at overcoming these challenges and improving the accuracy and efficiency of change detection methodologies.
5. Case Studies and Demonstrations: Throughout the session, Dr. Dhaiya provided case studies and practical demonstrations to illustrate the concepts discussed. These examples served to reinforce the understanding of the audience and exemplify the real-world applications of satellite image-based change detection.

Conclusion:

In conclusion, Dr. Neelam Dhaiya's expert talk on satellite image-based change detection using hyperspectral and multispectral imaging proved to be highly informative and engaging. The session provided attendees with valuable insights into the principles, methodologies, and applications of utilizing satellite imagery for detecting changes in the Earth's surface. It also underscored the significance of ongoing research efforts in advancing the field of remote sensing and its pivotal role in addressing various environmental and societal challenges.

Mentor Name – Dr. Neelam Dhaiya

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