Spatial Intelligence for a Greener Planet: AI Applications in Environmental Pollution Mapping, Analysis and Mitigation (綠色星球的空間智慧:AI在環境污染地圖繪製、分析與緩解中的應用)

Chaurasia, Kuldeep, Garg, Pradeep Kumar, P. V., Arun

  • 出版商: CRC
  • 出版日期: 2024-12-26
  • 售價: $5,140
  • 貴賓價: 9.5$4,883
  • 語言: 英文
  • 頁數: 174
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032699981
  • ISBN-13: 9781032699981
  • 相關分類: 人工智慧
  • 尚未上市,無法訂購

相關主題

商品描述

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.

商品描述(中文翻譯)

隨著人工智慧的快速進步,本書揭示了人工智慧如何成為減少污染和促進可持續發展的強大工具。它強調了地理空間技術與人工智慧的整合,以增強在環境污染的繪圖、分析和緩解能力。書中從人工智慧、地理空間技術和污染的基礎概念開始,討論了空氣、水、土壤和熱污染,強調其有害影響。通過真實案例研究和先進研究,本書展示了人工智慧和地理空間技術在污染緩解中的革命性角色,探索了基於人工智慧的感測器、衛星影像及相關網絡,以實現精確和高效的污染監測與管理。

作者簡介

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.

作者簡介(中文翻譯)

Dr. Kuldeep Chaurasia 是印度大諾伊達班尼特大學計算機科學工程與技術學院的副教授。他在印度理工學院魯爾基分校獲得了地理資訊科學的博士學位,並在印度政府的國家遙感中心擔任研究科學家期間,對多個國家項目做出了重要貢獻。他的專業領域涵蓋機器學習、深度學習於地理空間領域、洪水映射、空間數據管理、計算機網絡和地理區塊鏈。Chaurasia 博士在國際知名期刊和會議上發表了超過 40 篇研究論文,取得了顯著的突破,並在學術界贏得了廣泛的尊重。

Prof. Pradeep K. Garg 擔任印度理工學院魯爾基分校土木工程系地理資訊工程組的教授。他在魯爾基大學獲得了 B.Tech 和 M.Tech 學位,並在英國布里斯托大學獲得博士學位。他曾擔任多個重要職位,包括印度理工學院魯爾基分校土木工程系主任和烏塔拉坎德技術大學副校長。Garg 教授發表了超過 300 篇技術論文,撰寫了多本教科書,並指導了許多論文,對地理空間研究和教育做出了重要貢獻。

Dr. Arun P. V. 是印度信息技術學院斯里城分校的計算機科學與工程助理教授及研究協調員。他的研究興趣包括深度學習、計算機視覺、可解釋的影像和信號處理、遙感和精準農業。他在印度理工學院孟買分校完成博士學位,並在以色列本古里安大學進行博士後研究。他曾在華為研發部門擔任研究科學家/副總裁。他在高影響力的 SCI 索引期刊上發表了約 20 篇論文,並獲得約 300 次引用。他負責由 DST、ISRO 和其他機構資助的項目,並為產業提供諮詢。他曾審閱頂尖期刊,並與多個國內外機構合作。

Dr. Yingwei Yan 是一位 GIS 科學家,專注於志願地理資訊、社會感知和 GIS 教育研究。他是新加坡國立大學 (NUS) 應用 GIS 碩士/持續教育與培訓計劃的主任,並且是 NUS 地理系 GIS 單位的成員。他在 NUS 地理系獲得博士學位。他也是 ISPRS 技術委員會人類行為與空間互動工作組的共同主席。