Spatial Intelligence for a Greener Planet: AI Applications in Environmental Pollution Mapping, Analysis and Mitigation | Agenda Bookshop Skip to content
Online orders placed from 19/12 onward will not arrive in time for Christmas.
Online orders placed from 19/12 onward will not arrive in time for Christmas.
Age Group_Uncategorized
Age Group_Uncategorized
automatic-update
B01=Arun P V
B01=Kuldeep Chaurasia
B01=Pradeep Kumar Garg
B01=Yingewi Yan
Category1=Non-Fiction
Category=RGC
Category=RGW
Category=RNP
Category=TJFM
COP=United Kingdom
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€100 and above
PS=Forthcoming
softlaunch

Spatial Intelligence for a Greener Planet: AI Applications in Environmental Pollution Mapping, Analysis and Mitigation

English

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.

See more
Current price €122.54
Original price €128.99
Save 5%
Age Group_Uncategorizedautomatic-updateB01=Arun P VB01=Kuldeep ChaurasiaB01=Pradeep Kumar GargB01=Yingewi YanCategory1=Non-FictionCategory=RGCCategory=RGWCategory=RNPCategory=TJFMCOP=United KingdomDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Forthcomingsoftlaunch

Will deliver when available. Publication date 26 Dec 2024

Product Details
  • Dimensions: 156 x 234mm
  • Publication Date: 26 Dec 2024
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: United Kingdom
  • Language: English
  • ISBN13: 9781032699981

About

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.

Customer Reviews

Be the first to write a review
0%
(0)
0%
(0)
0%
(0)
0%
(0)
0%
(0)
We use cookies to ensure that we give you the best experience on our website. If you continue we'll assume that you are understand this. Learn more
Accept