Google Earth Engine and Artificial Intelligence for Earth Observation: Algorithms and Sustainable Applications explores a wide range of transformative data fusion techniques of Artificial Intelligence (AI) technologies applied to Google Earth Engine (GEE) techniques. It includes a wide range of scientific domains that can utilize remote sensing and geographic information systems (GIS) through detailed case studies. This book delves into the challenges of AI-driven tools and technologies for Earth observation data analysis, offering possible solutions and directly addressing current and upcoming needs within Earth observation. Google Earth Engine and Artificial Intelligence for Earth Observation: Algorithms and Sustainable Applications is a useful reference for geospatial scientists, remote sensing experts, and environmental scientists utilizing remote sensing to apply the latest AI techniques to data obtained from GEE for their research and teaching.
- Includes utilization of AI with GEE tools for a spectrum of scientific domains in remote sensing and geographic information systems (GIS) including natural hazard assessment, aquatic and hydrological applications, and forest cover
- Highlights the challenges and possible solutions for AI-driven tools and technologies for Earth observation data analysis
- Includes detailed case studies showing specific considerations and exceptions for applications of AI in GEE for Earth observation
Dr. Sood is working as Scientist at Indian Institute of Technology (IIT), Ropar, India, under Women Scientist Scheme (WOS) by Department of Science & Technology (DST), Govt. of India. She is also founder of a company named as Aiotronics Automation Pvt.Ltd. supported under Himachal Pradesh CM Startup Scheme. She has more than 10 years of experience in the field of academics and research. She received her PhD in Electronics and Communication Engineering from Chitkara University, Punjab in 2020. She has done B. Tech from Himachal Pradesh University (HPU) Shimla, 2008 and M. Tech from Punjab Technical University (PTU) in Electronics and Communication Engineering,2011. She has also done MBA in Human Resource (HR) ,2010. She has authored more than 25 SCI-indexed articles (IEEE, T&F, ELSEVIER, and SPRINGER), SCOPUS indexed book chapters and holds many inventions. Her research interests include satellite sensors, remote sensing, scatterometer and digital image analysis.
Dileep Kumar Gupta received his doctoral degree from the Department of Physics, Indian Institute of Technology (Banaras Hindu University), Varanasi, India. Dr. Dileep received several reputed awards like UGC-NET, GATE, UGC research fellowship and DST international travel support. He has published 30+ research articles in different peer reviewed journals/conference proceedings/book chapters. He is an expert in algorithm development for soil moisture and crop variables retrieval using different ground based and space borne active and passive microwave sensor. He is also an expert of different machine learning algorithms for remote sensing data processing.
He is a digital image analyst with a passion for remote sensing. Presently, he is working as a Professor and Associate Director (University Institute of Engineering) at Chandigarh University, Punjab, India. He is also practice as an Indian Patent Agent (IN/PA 5806). He received his PhD (Electronics and Communication Engineering - ECE) from I.K. Gujral Punjab Technical University, Punjab, India in 2018. He received his M.Tech (ECE) as a Gold Medalist, and B.Tech (ECE) with Distinction, from Punjab Technical University in 2011 and 2009, respectively. His research interests include electronics, remote sensing, and digital image processing.
Biswajeet Pradhan is a distinguished professor at UTS School of Civil and Environmental Engineering. He is an international expert in data-driven modelling and a pioneer in combining spatial modelling with statistical and machine learning models for natural hazard predictions including landslides. He has a track record of outstanding research outputs, with over 600 journal articles. He is a highly interdisciplinary researcher with publications across 12 areas, listed as having ‘Excellent’ international collaboration status. He has been a Highly Cited Researcher for five consecutive years (2016-2020) and ranks fifth in the field of Geological & Geoenvironmental Engineering.
