Cloud-Based Remote Sensing with Google Earth Engine: Fundamentals and Applications

這本書將引導讀者（從初學者到專家）深入了解Google Earth Engine，通過55個章節的介紹。這是一個有序且多樣化的實驗材料集，是由100多位個人的一年多努力的成果，收集了來自教授、本科生、碩士生、博士生、博士後和獨立顧問的新練習題。
《基於雲端的Google Earth Engine遙感》分為兩個主要部分。第一部分是基礎知識，包含31個實驗室，旨在將讀者從完全不熟悉Earth Engine的新手提升為相當高級的使用者。第二部分是應用篇，通過24個章節展示了Earth Engine在依賴遙感數據的各種不同場景中的應用。

這是一本開放存取的書籍。

An Associate Professor at McGill University, Jeff is trained in landscape ecology, computer science, and remote sensing / GIS. A very early adopter of Earth Engine, his research focuses on ingesting multiple data sources to improve land-cover classifications, by smoothing inconsistencies through time and accumulating evidence of land cover change and stability. Through the years, one of the challenges in training new graduates and undergraduates has been finding training materials that both teach fundamentals and present interesting applications of using satellites for cutting-edge environmental science. Jeff hopes that this effort will appeal to individuals working on their own to understand this powerful technology. He has a Bachelor's Degree in Applied Mathematics and Computer Science from Carnegie-Mellon University, a Master of Science in Operations Research from the Georgia Institute of Technology, and a PhD in Environmental Monitoring from the University of Wisconsin-Madison.

Nick is on the Earth Engine developer relations team. He received a bachelors, masters and PhD from the Department of Environmental Science, Policy and Management at UC Berkeley. From 2008-2011, Nick worked in the Airborne Sensor Facility of NASA Ames Research Center, producing science quality calibrated imagery and supporting sensor maintenance for thermal, multispectral and hyperspectral imagers. From 2012-2015, he was on the faculty of the Center for Earth System Science at Tsinghua University, in Beijing, China. He joined Google in 2015.

Morgan is a Forest Fire Research Scientist with NRCan at the Great Lakes Forestry Centre - Canadian Forest Service and the Tier 2 scientific lead of the WildFireSat mission that will be launched in 2028. She recently completed her Ph.D. at McGill University, where her research explored novel applications of fire monitoring using Google Earth Engine and multi-sensor satellite data fusion. Morgan has been recognized for her research and outreach using Google Earth Engine, including as a 2022-2023 Google Developer Expert, a Geospatial Rising Star by Geospatial World Media, and a leader in ML4EO by Radiant Earth Foundation. She is also the co-director of the Ladies of Landsat organization, which works to increase support for underrepresented scientists in the field of remote sensing.

A Professor at the University of San Francisco, David is an environmental scientist with expertise in a number of areas including: landscape ecology, ecosystem ecology, hydrology, geomorphology, ecosystem modeling, natural hazard modeling, remote sensing, geographic information systems (GIS) and geospatial analysis. His academic research uses integrated geospatial science for multi-scale mapping, monitoring and modeling of environmental spatial heterogeneity, particularly in riparian, savanna, and forest ecosystems. Dr. Saah's long-running work with the NASA SERVIR project has focused on outreach to developing nations, working to build knowledge infrastructure to solve pressing environmental problems.

Jeffrey Cardille是麥吉爾大學的副教授，他在景觀生態學、計算機科學和遙感/地理信息系統方面接受過培訓。作為Earth Engine的早期使用者，他的研究重點是通過整合多種數據來源來改進土地覆蓋分類，通過時間上的平滑不一致性和累積土地覆蓋變化和穩定性的證據。多年來，培訓新畢業生和本科生的挑戰之一是找到既教授基礎知識又呈現使用衛星進行尖端環境科學應用的有趣培訓材料。Jeff希望這一努力能吸引那些希望自行了解這項強大技術的個人。他擁有卡內基梅隆大學應用數學和計算機科學學士學位，喬治亞理工學院運營研究碩士學位，以及威斯康辛大學麥迪遜分校的環境監測博士學位。

Nick Clinton是Earth Engine開發者關係團隊的成員。他在加州大學伯克利分校的環境科學、政策和管理系獲得學士、碩士和博士學位。從2008年到2011年，Nick在NASA艾姆斯研究中心的空中傳感器設施工作，生產科學質量的校準影像，並支持熱、多光譜和高光譜成像儀的傳感器維護。從2012年到2015年，他在中國北京的清華大學地球系統科學中心任教。他於2015年加入Google。

Morgan A. Crowley是加拿大林業服務中心大湖林業中心的森林火災研究科學家，也是2028年將發射的WildFireSat任務的Tier 2科學負責人。她最近在麥吉爾大學完成了博士學位，研究探索了使用Google Earth Engine和多傳感器衛星數據融合的火災監測的新應用。Morgan因在使用Google Earth Engine進行研究和推廣方面的成就而受到認可，包括成為2022-2023年的Google開發者專家、Geospatial World Media的地理信息新星以及Radiant Earth Foundation的ML4EO領域的領導者。她還是Ladies of Landsat組織的聯合主任，該組織致力於增加對遙感領域中少數科學家的支持。

David Saah是舊金山大學的教授，他是一位環境科學家，擁有多個領域的專業知識，包括景觀生態學、生態系統生態學、水文學、地貌學、生態系統建模、自然災害建模、遙感、地理信息系統（GIS）和地理空間分析。他的學術研究使用綜合地理空間科學來進行多尺度的環境空間異質性的地圖繪製、監測和建模，特別是在河岸、熱帶草原和森林生態系統中。Saah博士與NASA SERVIR項目的長期合作致力於對發展中國家的外展工作，致力於建立知識基礎設施以解決迫切的環境問題。