Screen LibraryAdvances in scalable and intelligent geospatial analytics : challenges and applications /
"Geospatial data acquisition and analysis techniques have grown tremendously, providing an opportunity to solve environmental and natural resource related problems. Despite the challenges encountered in processing highly voluminous geospatial data in a scalable and efficient manner, advances in...
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| Group Author: | |
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| Published: |
CRC Press,
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| Publisher Address: | Boca Raton, FL : |
| Publication Dates: | 2023. |
| Literature type: | Book |
| Language: | English |
| Edition: | First edition. |
| Subjects: | |
| Summary: |
"Geospatial data acquisition and analysis techniques have grown tremendously, providing an opportunity to solve environmental and natural resource related problems. Despite the challenges encountered in processing highly voluminous geospatial data in a scalable and efficient manner, advances in high-performance computing, computer vision, and big data analytics enable the efficient processing of big-geospatial data. As a comprehensive overview of the state-of-the-art, and future developments in this domain, readers, including scholars, academicians, industry experts, and government agencies, will gain insights into the emerging trends on scalable geospatial data analytics"-- |
| Carrier Form: | xvi, 405 pages : illustrations (chiefly color) ; 26 cm |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: |
9781032200316 1032200316 9781032220321 1032220325 |
| Index Number: | G70 |
| CLC: | P208.2 |
| Call Number: | P208.2/A244 |
| Contents: | 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. |