Dr. Sartajvir Singh an accomplished academician and researcher at Indian Institute of Technology (IIT) Ropar, India, specializing in Electronics and Communication Engineering. He is a digital image analyst with expertise in remote sensing and earned his PhD in Electronics & Communication Engineering. He is practicing as Registered Patent (IN/PA 5806), Trade Mark (TMA 34156) and other Intellectual Property (IP) professional. He is also DGCA approved commercial Drone Operator (RPC/34231626V91SD). So far, he has filed 75 innovations/patents at the Indian Patent Office (IPO) with 35 Granted/Awarded. With expertise in the filed of Remote Sensing, Computing Algorithms, and Electronics, he has published 100 in SCI/Scopus Index Journals. An active IEEE member, he engages with IEEE Young Professionals, IEEE GRSS, IEEE Sensors, AGU, EGU, HG, ISTE and ISPRS. His research focuses on Remote Sensing, Automation, AI/ML and Computer Vision. He has served as a keynote speaker and resource person for numerous workshops and webinars. He also edited 2 conference proceedings, 10 books with publishers like Springer, Wiley, De Gruyter, Bentham, Elsevier, CRC, and Apple Academic Press.
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- IEEE: 487600824206138
- ResearchGate: Promtucs-Garnagee-Jackson-2312801860
Mr. Promtucs Garnagee Jackson
His research aims to utilize GEE's powerful cloud-based platform to analyze multi-temporal satellite imagery for environmental monitoring. Specifically, he is working on a project involving Land Use/Land Cover (LULC) classification and change detection using data from Sentinel-1 and Sentinel-2 satellites. The study incorporates machine learning techniques directly within the GEE environment to improve classification accuracy and enable large-scale analysis. His research not only enhances my technical skills in remote sensing and data science but also contributes to real-world applications in sustainable land management and climate change assessment.
Research Description
His research aims to utilize GEE's powerful cloud-based platform to analyze multi-temporal satellite imagery for environmental monitoring
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