GeoAI for Remote Sensing

• Utgivningsdatum: 2027-04-29
• Mått: 152 x 229 x undefined mm
• Format: Häftad
• Språk: Engelska
• Förlag: Elsevier - Health Sciences Division
• ISBN: 9780443493201

• Geografi

Dr. Sartajvir Singh is currently serving as Chief Scientific Officer at the Center of Excellence in Socio-Environmental Sustainability for River Sand Mining (SENSRS) and Project Director (ICSSR Project) at Indian Institute of Technology Ropar, India. He is a digital image analyst with expertise in remote sensing and earned his PhD in Electronics & Communication Engineering (Outstanding Thesis Awardee, 2018) after completing his M. Tech (Gold Medalist) and B.Tech with Distinction. He is a Registered Indian Patent & Trademark Agent and a DGCA-approved drone operator, with 70+ innovations (35+ patents granted) and 90+ SCI/Scopus-indexed publications. He has secured over four Crore (INR) research funding, received multiple fellowships, held editorial positions, and is an IEEE Senior Member, advancing electronics, image processing, and geospatial intelligence.Vishakha Sood is currently working as a Scientist at the Indian Institute of Technology, Ropar, Punjab, under the Women Scientist Scheme (WOS) of the Department of Science and Technology (DST), Government of India. She is also the founder of Aiotronics Automation Pvt. Ltd., supported under the Himachal Pradesh Chief Minister Startup Scheme. She received her Ph.D. in Electronics and Communication Engineering from Chitkara University, Punjab, in 2020. She earned her B.Tech. degree from Himachal Pradesh University in 2008 and her M.Tech. degree in Electronics and Communication Engineering from Punjab Technical University in 2011. She also completed an MBA in Human Resource Management in 2010. She has extensive academic and research experience and has authored research articles in SCI‑indexed journals and SCOPUS‑indexed book chapters and holds several inventions. Her research interests include satellite sensors, remote sensing, and digital image analysis. She is a Senior Member of IEEE and an active member of professional bodies including the Indian Society of Remote Sensing (ISRS), Indian Society for Technical Education (ISTE), Punjab Science Congress (Punjab Academy of Sciences), IEEE Sensors Council, IEEE Geoscience and Remote Sensing Society, IEEE Women in Engineering, and the European Geosciences Union (EGU). Dr. Reet Kamal Tiwari received his M.Sc. degree in geology, M.Tech. degree in remote sensing and geographic information systems, and PhD degree in Earth sciences from the Indian Institute of Technology (IIT) Roorkee, India, in 2007, 2009, and 2015, respectively. In 2013, he joined the Centre for Glaciology, Wadia Institute of Himalayan Geology, India, as a scientist. Since March 2017, he has been an assistant professor with the Department of Civil Engineering, Indian Institute of Technology (IIT) Ropar, India. His research interests include geospatial technology applications in the fields of snow, ice and glaciers, climate change, natural resource management, environmental monitoring, and planetary sciences. He has secured over 15 Crore (INR) research funding, received multiple fellowships, held editorial positions, and is an IEEE Senior Member, advancing electronics, image processing, and geospatial intelligence. He is Senior IEEE member and an active member of various international and national societies, such as Indian Society of Remote Sensing (ISRS), IEEE Geosciences and Remote Sensing Society (GRSS), and the International Society of Photogrammetry and Remote Sensing (ISPRS).Narayan Vyas is an Assistant Professor in the Department of Computer Science and Engineering at Vivekananda Global University, Jaipur, India, where he is actively involved in research and development in computer science. He qualified for the NTA UGC NET & JRF on his first attempt, showcasing his academic excellence. He has published numerous articles in reputed, peer-reviewed national and international Scopus-indexed conferences and journals. Additionally, he has served as a keynote speaker and resource person for several workshops and webinars conducted in India. His research areas include Remote Sensing, the Internet of Things, Machine Learning, Deep Learning, and Computer Vision. He is an IEEE member and an active member of various international and national societies, such as IEEE Young Professionals, the Indian Society of Remote Sensing (ISRS), the IEEE Geosciences and Remote Sensing Society (GRSS), the IEEE Sensors Council, and the International Society of Photogrammetry and Remote Sensing (ISPRS). Maxim Shoshany is a distinguished geoinformation scientist at Technion Israel Institute of Technology. His research centers on Mediterranean and semi-arid environments, employing radar and multi-temporal optical data to study life-form compositions, soil–rock patterns, and their evolution across climatic gradients. He led Bar-Ilan University’s Geography Department (1997–2001), served as Academic Director of Technion International, and directed the Eco-Engineering Centre. He has been a visiting professor at King’s College London and Banaras Hindu University, contributing to remote sensing theory, methods, and applications throughout his career.

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