Environmental Monitoring with Integrated Earth Observation Data and Machine Learning
暫譯: 整合地球觀測數據與機器學習的環境監測

Roy, Srija, Goyal, Manish Kumar

Environmental Monitoring with Integrated Earth Observation Data and Machine Learning
  • 出版商: Springer
  • 出版日期: 2026-05-15
  • 售價: $6,580
  • 貴賓價: 9.5 折 $6,251
  • 語言: 英文
  • 頁數: 84
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3032199344
  • ISBN-13: 9783032199348
  • 相關分類: Machine Learning

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

This book offers practical insights for researchers and policymakers to demonstrate how EO and ML can strengthen environmental monitoring to support informed decision-making, and advance sustainable development. The Earth faces rising challenges like climate instability, land degradation, water scarcity, rapid urban expansion, etc., making reliable environmental monitoring imperative. Traditional methods lack the precision and scale required for global environmental monitoring. However, advances in Earth Observation (EO) and Machine Learning (ML) enable accurate, large-scale environmental monitoring through accessible open-source datasets. Further ML integration with these datasets supports predictive analysis and detailed environmental assessments. Thus, this book outlines the principles of EO, data management, ML integration, and applies them through a case study of the Narmada River Basin, India to examine land use, pollution, and the overall environmental conditions.

商品描述(中文翻譯)

本書為研究人員和政策制定者提供實用的見解，展示如何利用地球觀測（EO）和機器學習（ML）加強環境監測，以支持明智的決策並推進可持續發展。地球面臨氣候不穩定、土地退化、水資源短缺、快速城市擴張等日益嚴峻的挑戰，因此可靠的環境監測變得至關重要。傳統方法缺乏全球環境監測所需的精確性和規模。然而，地球觀測（EO）和機器學習（ML）的進步使得通過可獲得的開源數據集實現準確的大規模環境監測成為可能。此外，機器學習與這些數據集的進一步整合支持預測分析和詳細的環境評估。因此，本書概述了地球觀測的原則、數據管理、機器學習整合，並通過對印度納爾馬達河流域的案例研究來應用這些原則，以檢視土地使用、污染及整體環境狀況。

作者簡介

Dr. Srija Roy is a research associate in the Department of Civil Engineering at IIT Indore, working on the Condition Assessment and Monitoring of the Narmada River Basin Project funded by the Ministry of Jal Shakti. Her research focuses on Remote Sensing, GIS, and Water Resources Engineering, with a strong emphasis on applying Machine Learning and AI in Earth Science studies. She holds a B.Tech. in Civil Engineering from MAKAUT, a M.Tech. in Environmental and Water Resources Engineering from NIT Manipur, and a Ph.D. from NIT Jamshedpur. Dr. Roy has published in reputable international journals and presented her work at prestigious platforms like AGU, EGU, HYDRO, etc. She also serves as a peer reviewer for journals like Water Resources Management, Environmental Earth Sciences, Water and Climate Change, etc. Passionate about environmental conservation, she advocates for integrating social sciences with engineering to develop sustainable, interdisciplinary solutions to pressing environmental challenges.

Prof. Manish Kumar Goyal is a professor in the Department of Civil Engineering at IIT Indore and holds the prestigious Chair Professorship for BIS Standardization. His research encompasses water resources engineering, GIS, remote sensing, and climate change. He earned his B.Tech from NIT Warangal and M.Tech and Ph.D. from IIT Roorkee, with collaborative research at the University of Waterloo, Canada. He pursued postdoctoral fellowships at NTU Singapore and McGill University, Canada. With over 300 publications and 6,702 citations, he has an h-index of 54 and i-index of 141. He serves as an associate editor for the Nature Scientific Reports, ASCE Journal of Hazardous, Toxic, and Radioactive Waste. His edited book Sustainability: Fundamentals and Applications (Wiley) received global acclaim.

作者簡介(中文翻譯)

Srija Roy 博士是印度理工學院印多爾分校土木工程系的研究助理，專注於由水資源部資助的納爾馬達河流域項目的狀況評估與監測。她的研究重點在於遙感、地理資訊系統（GIS）和水資源工程，並強調在地球科學研究中應用機器學習和人工智慧。她擁有MAKAUT的土木工程學士學位、來自NIT Manipur的環境與水資源工程碩士學位，以及來自NIT Jamshedpur的博士學位。Roy 博士在知名國際期刊上發表過論文，並在AGU、EGU、HYDRO等著名平台上展示她的研究成果。她還擔任《水資源管理》、《環境地球科學》、《水與氣候變遷》等期刊的同行評審。對環境保護充滿熱情的她，倡導將社會科學與工程結合，以開發可持續的跨學科解決方案來應對緊迫的環境挑戰。

Manish Kumar Goyal 教授是印度理工學院印多爾分校土木工程系的教授，並擔任BIS標準化的榮譽講座教授。他的研究範疇包括水資源工程、GIS、遙感和氣候變遷。他在NIT Warangal獲得土木工程學士學位，並在IIT Roorkee獲得碩士和博士學位，並曾在加拿大滑鐵盧大學進行合作研究。他在新加坡南洋理工大學和加拿大麥吉爾大學進行博士後研究。Goyal 教授擁有超過300篇出版物和6,702次引用，h指數為54，i指數為141。他擔任《自然科學報告》和ASCE《危險、有毒及放射性廢物期刊》的副編輯。他編輯的書籍《可持續性：基本原理與應用》（Wiley）獲得全球讚譽。

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