Dr. Sartajvir Singh is an accomplished academician at Chandigarh University, specializing in Electronics and Communication Engineering. He is practicing as Registered Patent Agent (IN/PA 5806) Registered Trade Mark Agent (TMA 2646). 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 81 in SCI/Scopus Index Journals. An active IEEE member, he engages with IEEE Young Professionals, IEEE GRSS, IEEE Sensors Council, and ISPRS. His research focuses on Remote Sensing, Machine Learning, Deep Learning, 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 and Special Issues with publishers like Wiley, Nature, De Gruyter, Bentham Science, Springer, Elsevier, CRC, and Apple Academic Press.
Google Earth Engine and Artificial Intelligence for Earth Observation: Algorithms and Sustainable Applications
Price: 151.99 $ | Publisher: elsevier
Editors: Vishakha Sood, Dileep Kumar Gupta, Sartajvir Singh, Biswajeet Pradhan
Release Date: 31 March 2025 | Copyright: © 2025 Elsevier | Language: English | Categories: Google Earth Engine, Artificial Intelligence, Remote Sensing, Earth Observation
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.
Buy NowChapter 1: Introduction to Google Earth Engine: A comprehensive workflow
Authors: Nitin Arora, Sakshi, Sartajvir Singh, Vishakha Sood, Dileep Kumar Gupta
Chapter 2: Role of GEE in earth observation via remote sensing
Authors: Surendra Kumar Sharma, Anugya Shukla, Srashti Singh, Prathiba A. Palanisamy, Vishal Mishra
Chapter 3: A meta-analysis of Google Earth Engine in different scientific domains
Authors: Sharaniya Vijitharan
Chapter 4: Exploration of science of remote sensing and GIS with GEE
Authors: Shaker Ul Din Rahimoon, Kayoko Yamamoto, Muhammad Adeel Ghafar, Muhammad Mushahid Anwar, Muhammad Majeed, Waseem Ahmed Khattak, Murad Muhammad
Chapter 5: Cloud computing platform-based remote sensing big data applications
Authors: Swati Suman, Swati Maurya, Varsha Pandey, Prashant K. Srivastava, Dileep Kumar Gupta
Chapter 6: Role of various machine and deep learning classification algorithms in Google Earth Engine: A comparative analysis
Authors: Alisha Sinha, Laxmi Kant Sharma
Chapter 7: Google Earth Engine and artificial intelligence for SDGs
Authors: Yusuf A. Aina, Syed Masiur Rahman, Shamsudeen Temitope Yekeen, Abdulwaheed Tella, Bijoy Mitra, Mohammed Sakib Uddin, Abdullateef Balogun
Chapter 8: Machine learning algorithms for air quality and air pollution monitoring using GEE
Authors: Prakriti Prakriti, Manivannan Karuppaiyan, Asfa Siddiqui, Dileep Kumar Gupta
Chapter 9: Investigation of surface water dynamics from the Landsat series using Google Earth Engine: A case study of Lake Bafa
Authors: Osman Salih Yilmaz, Fatih Gulgen
Chapter 10: Monitoring of land cover changes and dust events over the last 2 decades using Google Earth Engine: Hamoun wetland, Iran
Authors: Mohammad Reza Rahdari, Rasoul Kharazmi, Andrés Caballero-Calvo
Chapter 11: Leveraging Google Earth Engine for improved groundwater management and sustainability
Authors: Muhammad Shareef Shazil
Chapter 12: Leveraging Google Earth Engine for improved groundwater management and sustainability
Authors: Pramod Kumar, J. Malleswara Rao, Sandeep Maithani, Kshama Gupta, Ravi Bhandari, Asfa Siddiqui, Surendra Kumar Sharma
Chapter 13: A novel self-supervised framework for satellite image classification in the Google Earth Engine cloud computing platform
Authors: Ali Radman, Fariba Mohammadimanesh, Masoud Mahdianpari
Chapter 14: Assessment and monitoring of forest fire using vegetation indices and AI/ML techniques over google earth engine
Authors: Anubhava Srivastava, Amrit Suman, Susham Biswas
Chapter 15: Utilizing google earth engine and remote sensing with machine learning algorithms for assessing carbon stock loss and atmospheric impact through pre- and postfire analysis
Authors: Jintu Moni Bhuyan, Krishna Pradhan, Bhartenda Kumar, Mridul Yadav
Chapter 16: Climate change challenges: The vital role of Google Earth Engine for sustainability of small islands in the archipelagic countries
Authors: Noir P. Purba, Muhammad Maulana Rahmadi
Chapter 17: Multi-temporal monitoring of impervious surface areas (ISA) changes in an Arctic setting, using ML, remote sensing data, and GEE
Authors: Katerina Dermosinoglou, Spyridon E. Detsikas, George P. Petropoulos, Loukia-Maria Fratsea, Apostolos G. Papadopoulos
Chapter 18: Estimation of snow or ice cover parameters using Google Earth engine and AI
Authors: Rajshu Saurav, Kaushika Sharma, Kislay Singh Rajput, Keshav Bharadwaj, Supriya Srujanita Sahoo, Siddhartha Shankar Sharma, Praveena Jannila, Jyoti Prakash Sahoo
Chapter 19: Climate change challenges: The vital role of Google Earth Engine for sustainability of small islands in the archipelagic countries
Authors: Noir P. Purba, Muhammad Maulana Rahmadi
Chapter 20: Evaluating machine learning algorithms for classifying urban heterogeneous landscapes using GEE
Authors: Padmanabha Chowdhury, Rakibul Islam, Rifat Bin Hossain, Nazmoon Nahar Sumiya
Chapter 21: Application of analytic hierarchy process for mapping flood vulnerability in Odisha using Google Earth Engine
Authors: Pulakesh Pradhan, Ranjana Bajpai, Sribas Patra
Chapter 22: Deep learning-based method for monitoring precision agriculture using Google Earth Engine
Authors: Amrit Suman, Preetam Suman, Anubhava Srivastava, Chiranjeev Kumar
Chapter 23: Role of AI and IoT in agricultural applications using Google Earth Engine
Authors: Nitin Arora
Chapter 24: Mature and immature oil palm classification from image Sentinel-2 using Google Earth Engine (GEE)
Authors: Siti Aminah Anshah, Nurul Ain Nabilah Sharuddin, Siti Aekbal Salleh
Chapter 25: Tracking land use and land cover changes in Ghaziabad district of India using machine learning and Google Earth Engine
Authors: Diksha, Praveen Kumar Rai, Varun Narayan Mishra, Deepak Kumar, Dileep Kumar Gupta, Maya Kumari
Chapter 26: Challenges and limitations for cloud-based platforms and integration with AI algorithms for earth observation data analytics
Authors: Srinibas Pattanaik, Himanshi, Anshu Mehta, Alessandro Vinciarelli
Chapter 27: AI-driven tools and technologies for agriculture land use & land cover classification using earth observation data analytics
Authors: Amandeep Kaur, Gurwinder Singh, Sartajvir Singh
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