Big Data, Artificial Intelligence, and Data Analytics in Climate Change Research

Experimental analysis of Precipitation Forecasting Using Machine Learning and Distributed Machine Learning Approach.- Analysis of Inherent Memory in Hydroclimatic Time Series: Implications for Statistical Tests and Long-Term Data Generation.- Intelligent Solutions for Flood Management: Integrating Artificial Intelligence and Machine Learning.- Artificial Intelligence and Machine Learning based building solutions: Pathways to ensure occupants comfort and energy efficiency with climate change.- Deep Learning models for fine-scale Climate Change prediction: enhancing spatial and temporal resolution using AI.- Exploring streamflow variation in the Subarnarekha River basin, Jharkhand, India.- Geoinformatics Based Land Degradation Susceptibility Analysis and Sustainability of Palghar Sea Coastal Areas.- Climate Change and Maritime Security in the Indo-Pacific Region: A Strategic Approach.- Climate Change and Renewable Energy.- Sustainable Development Goals and Indian Himalayan Region.- Climate Change and Energy Aspects.- Mustard Yield forecast using Radiation use efficiency method.- Public Private Partnership for Climate Change Research.- Groundwater and Sustainable Development Goals: Water Table Characteristics in Varanasi City.- Approach of Hydro geomorphological Mapping for Groundwater Resource Management in Mirzapur District, Uttar Pradesh.- Soil erosion assessment of Rohru C.D. Block of Himachal Pradesh using Geospatial Tools.- Impact of Sarangkheda Dam construction on the downstream reach of Tapi River, Nandurbar District, Maharashtra.

Mr. Gaurav Tripathi is an assistant professor at the Centre for Climate Change and Water Research, Suresh Gyan Vihar University, Jaipur, India. His many research interests include atmospheric remote sensing, satellite remote sensing, satellite navigation, disaster management, synthetic aperture radar (SAR), InSAR, DInSAR, SAR polarimetry, interferometry, tomography, information theory, and retrieval modeling. He completed his post-graduate diploma in geo-information science and earth observation with specialization in geo-informatics from the International Institute for Geo-Information Science and Earth Observation (ITC) Netherlands and the Indian Institute of Remote Sensing, Indian Space Research Organization (ISRO), Dehradun. He has published 10 journal articles and 6 book chapters.




Dr. Achala Shakya is an assistant professor at the School of Computer Sciences, UPES, Dehradun, Uttarakhand, India. Previously, she was associated with the Department of Computer Science and Engineering at Sharda University, Greater Noida, India. She was awarded her Ph.D. from the Department of Computer Engineering at the National Institute of Technology Kurukshetra and was also involved in the NASA-ISRO Synthetic Aperture Radar Mission (NISAR) project. She has more than 4 years of research and 1 year of teaching experience, having published some 10 research articles, 5 book chapters, and 2 international conference papers. She works in the fields of image fusion and segmentation, optical radar, hyperspectral remote sensing, deep learning, machine learning, natural language processing, information retrieval, and web development.




Dr. Shruti Kanga is an associate professor and the head of the Department of Geography at the Central University of Punjab, Bathinda, India. Previously, she worked as an associate professor and a coordinator at the Centre for Climate Change and Water Research, Suresh Gyan Vihar University, Jaipur, and as an assistant