Advances in scalable and intelligent geospatial analytics : challenges and applications Geospatial Technology Developments Present Scenario and Research Challenges Perspectives on Geospatial Artificial Intelligence Platforms for Multimodal Spatiotemporal Datasets Temporal Dynamics of Place and Mobility Geospatial Knowledge Graph Construction Workflow for Semantics enabled Remote Sensing Scene Understanding Geosemantic Standards driven Intelligent Information Retrieval Framework for 3D LiDAR Point Clouds Geospatial Analytics Using Natural Language Processing A Scalable Automated Satellite Data Downloading and Processing Pipeline Developed on AWS Cloud for Agricultural Applications Providing Geospatial Intelligence through a Scalable Imagery Pipeline Distributed Deep Learning and its Application in Geo spatial Analytics High Performance Computing for Processing Big Geospatial Disaster Data Dashboard for Earth Observation Visual Exploration of LiDAR Point Clouds Towards a Smart Metaverse City: Immersive Realism and 3D Visualization of Digital Twin Cities Current UAS Capabilities for Geospatial Spectral Solutions Flood Mapping and Damage Assessment using Sentinel 1 & 2 in Google Earth Engine of Port Berge & Mampikony Districts Sophia Region Madagascar Fuzzy based Meta heuristic and Bi variate Geo statistical Modelling for Spatial Prediction of landslides Understanding the Dynamics of the City through Crowdsourced Datasets: A Case Study of Indore City A Hybrid Model for the Prediction of Land use Land cover Pattern in Kurunegala City Sri Lanka Spatio temporal Dynamics of Tropical Deciduous Forests Under Climate Change Scenarios in India A Survey of Machine Learning Techniques in Forestry Applications Using SAR Data.