Google Earth Engine and Artificial Intelligence for Earth Observation: Algorithms and Sustainable Applications - Softcover

Über die Autorinnen und Autoren

Dr. Vishakha Sood is working as Scientist at Indian Institute of Technology (IIT), Ropar, Punjab. She has been awarded with Women Scientist (WoS-A) Fellowship from Department of Science & Technology (DST), Govt. of India for three years i.e., 2022-2025. She received her PhD in 2020 for “Detection of Snow/Ice over North Indian Himalayas” using satellite imagery. She has received the M. Tech and B. Tech in Electronics and Communication Engineering from Himachal Pradesh University (in 2008) and M. Tech from Punjab Technical University (in 2011). She has also done MBA (Human Resource) from Institute of Advanced Studies in Education (IASE) Deemed to be University in 2010. She received the "Outstanding Performance Award" in CESA-FIESTA 2023 Symposium from IIT, Ropar. She has more than 10 years of experience in the field of academics, research and administration. She has authored many 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, and digital image analysis. She is IEEE Senior Member and active member of various societies as Indian Society of Remote Sensing (ISRS), Indian Society of Technical Education (ISTE), Punjab Science Congress (Punjab Academy of Sciences) and IEEE Sensors council, Geoscience and Remote Sensing Society Digital Library and IEEE Women in Engineering. She is editing various Special Issues in the Journal Environmental Monitoring and Assessment (EMAS) –Springer and Frontiers in Earth Sciences and in addition, various books with Elsevier.

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.

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.

Professor Pradhan is a globally recognized expert in geospatial analytics and artificial intelligence applications in Earth and environmental sciences. Currently a Distinguished Professor at the University of Technology Sydney (UTS), Australia, he also leads the Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS). With a PhD in GIS-based modeling, Prof. Pradhan has over two decades of experience in spatial data science, remote sensing, natural hazard modeling, and environmental monitoring. He has been listed among the world's top 2% scientists by Stanford University and received numerous international awards, including from IEEE and Elsevier. A Fellow of the Royal Geographical Society (FRGS), he also serves on editorial boards of several top-tier journals. His research integrates geospatial AI and deep learning for disaster risk reduction, land use planning, and sustainability.

Von der hinteren Coverseite

Google Earth Engine and Artificial Intelligence for Earth Observation explores a wide range of transformative data fusion techniques of Artificial Intelligence (AI) technologies applied to Google Earth Engine (GEE) techqnieus. It includes a wide range of scientific domains that can utilise remote sensing and geographic information systems (GIS) through detailed case studies. The 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 is a useful reference for geospatial scientists, remote sensing experts, and environmental scientists utilising remote sensing to apply the latest AI techniques to data obtained from GEE for their research and teaching.