LOW FLAT RATE AUST-WIDE $9.90 DELIVERY INFO

Close Notification

Your cart does not contain any items

Spatial Intelligence for a Greener Planet

AI Applications in Environmental Pollution Mapping, Analysis and Mitigation

Kuldeep Chaurasia Pradeep Kumar Garg (IIT Roorkee, India.) Arun P V (Indian Institute of Information Technology, India) Yingewi Yan

$242

Hardback

Not in-store but you can order this
How long will it take?

QTY:

English
CRC Press
26 December 2024
With rapid advancements in AI, this book reveals how AI can be a powerful tool in reducing pollution and fostering sustainability. It highlights the integration of geospatial techniques with AI for enhancing capabilities in mapping, analysis, and mitigation of environmental pollution. Starting with foundational concepts in AI, geospatial technology, and pollution, the book addresses air, water, soil and thermal pollution, emphasizing their harmful impacts. Through real-world case studies and advanced research, it showcases AI and geospatial technology's revolutionary role in pollution mitigation, exploring AI-driven sensors, satellite imagery, and associated networks for precise and efficient pollution monitoring and management.
Edited by:   , , , , ,
Imprint:   CRC Press
Country of Publication:   United Kingdom
Dimensions:   Height: 234mm,  Width: 156mm, 
Weight:   494g
ISBN:   9781032699981
ISBN 10:   1032699981
Pages:   174
Publication Date:  
Audience:   Professional and scholarly ,  College/higher education ,  Undergraduate ,  Further / Higher Education
Format:   Hardback
Publisher's Status:   Active

Dr. Kuldeep Chaurasia is an Associate Professor at School of Computer Science Engineering and Technology at Bennett University, Greater Noida, India. He earned his Ph.D. in Geomatics from Indian Institute of Technology Roorkee, and made significant contributions as a Research Scientist at the National Remote Sensing Centre, ISRO, Govt. of India, while working on various national projects. His expertise spans machine learning, deep learning in the geospatial domain, flood mapping, spatial data management, computer networks, and geo-blockchain. Dr. Chaurasia has published over 40 research papers in prestigious international journals and conferences, achieving significant breakthroughs and earning widespread respect in the academic community. Prof. Pradeep K. Garg serves as a Professor in the Geomatics Engineering Group, Civil Engineering Department, IIT Roorkee. He earned his B.Tech and M.Tech from the University of Roorkee, and Ph.D. from the University of Bristol, UK. He has held key positions, including Head of Civil Engineering at IIT Roorkee and Vice Chancellor of Uttarakhand Technical University. Prof. Garg has published over 300 technical papers, authored several textbooks, and supervised numerous theses, significantly contributing to geospatial research and education. Dr. Arun P. V. is an Assistant Professor in CSE and Institute Research Coordinator at the Indian Institute of Information Technology, Sri City, Chittoor. His research interests include deep learning, computer vision, explainable image and signal processing, remote sensing, and precision agriculture. He completed his Ph.D. at IIT Bombay, and postdoc at Ben-Gurion University, Israel. He served as a Research Scientist/Assoc Vice-president at Huawei R&D. He has published around 20 high-impact SCI-indexed journals, with about 300 citations. He leads projects funded by DST, ISRO, and other organizations, and consults for industries. He has reviewed top journals, and collaborated with various national and international agencies. Dr. Yingwei Yan is a GIScientist working on volunteered geographic information, social sensing, and GIS educational research. He is the Director of Taught Graduate/Continuing Education and Training programmes in Applied GIS, and a member of the GIS Unit of the Department of Geography, National University of Singapore (NUS). He obtained his Ph.D. from the Department of Geography, NUS. He is also the Co-chair of the ISPRS Technical Commission Working Group on Human Behaviour and Spatial Interactions.

See Also