10最好的谷歌地图引擎教程推荐

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特写 iPhone，显示 Udemy 应用程序和带笔记本的笔记本电脑有数以千计的在线课程和课程可以帮助您提高 谷歌地图引擎 技能并获得 谷歌地图引擎 证书。

在这篇博客文章中，我们的专家汇总了 10 个精选列表 最好的 谷歌地图引擎 课程, 现在在线提供的教程、培训计划、课程和认证。

我们只包括那些符合我们高质量标准的课程。我们花了很多时间和精力来为您收集这些。这些课程适合所有级别的初学者、中级学习者和专家。

以下是这些课程以及它们为您提供的内容！

10最好的谷歌地图引擎教程推荐

课程名 在校生（人数） 评论（计数）
1. Start with Google Earth Engine & Spatial Analysis #Beginners 我们的最佳选择 9684+ 118+
2. Complete Google Earth Engine for Remote Sensing & GIS 4612+ 1039+
3. Google Earth Engine for Machine Learning & Change Detection 2981+ 256+
4. The Google Earth Engine Mega Course: Remote Sensing & GIS 1726+ 286+
5. Introduction to Google Earth Engine (GEE) 1282+ 29+
6. Big Geospatial Data Analysis with Google Earth Engine 865+ 137+
7. QGIS & Google Earth Engine for Environmental Applications 825+ 123+
8. Google Earth Engine for Remote Sensing: from Zero to Hero 694+ 126+
9. Advanced Google Earth Engine(GEE) For Spatial Data Analysis 551+ 103+
10. Predict just about anything with Google Earth Engine. Part I 76+ 8+

1. Start with Google Earth Engine & Spatial Analysis #Beginners 经过 “Kate Alison, Georg Müller” Udemy课程 我们的最佳选择

“Get introduced to Remote Sensing and big geodata and spatial analysis in Google Earth Engine, learn basics of JavaScript”

截至目前，超过 9684+ 人们已经注册了这门课程，而且已经结束了 118+ 评论.

课程内容
Introduction
Short Introduction on Remote Sensing
Getting started with Code Editor and Java Script
First steps with the classification

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2. Complete Google Earth Engine for Remote Sensing & GIS 经过 Minerva Singh Udemy课程

Harness the Power of Google Earth Engine for GIS Spatial Data Analysis & Remote Sensing

截至目前，超过 4612+ 人们已经注册了这门课程，而且已经结束了 1039+ 评论.

课程内容
Introduction to Google Earth Engine (GEE)
Get Started with GEE
Introduction to the GEE Code Editor
Common GIS Operations Using Google Earth Engine (GEE)
More GIS Operations in GEE
Plotting and Exporting GEE Data
Working with Optical Data-Landsat
Common Remote Sensing Applications
Miscellaneous Lectures

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3. Google Earth Engine for Machine Learning & Change Detection 经过 “Kate Alison, Georg Müller” Udemy课程

Become Expert in Spatial analysis & Remote Sensing for machine learning in land use / land cover in Google Earth Engine

截至目前，超过 2981+ 人们已经注册了这门课程，而且已经结束了 256+ 评论.

课程内容
Introduction
Getting started with Google Earth Engine & EO browser
Basics of Jave Scrips for Google Earth Engine and first steps in image analysis
Theory: on Machine Learning and Image CLassification
Unsupervised (K-means) image analysis in Google Earth Engine
Supervised image analysis in Google Earth Engine
Introduction to change detection in Google Earth Engine

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4. The Google Earth Engine Mega Course: Remote Sensing & GIS 经过 “Spatial eLearning, Dr. Alemayehu M.” Udemy课程

“Become a Google Earth Engine expert just in one course. Remote Sensing, GIS, JavaScript, Machine Learning”

截至目前，超过 1726+ 人们已经注册了这门课程，而且已经结束了 286+ 评论.

课程内容
Explore Earth Engine API
Earth Engine Code Editor
Images
Geospatial Data Sources
Image Collections
Vector Calculations
Explore Reducers
Visualization of Geospatial Data
Export Geospatial Data
Digital Image Processing
Satellite Data Summary
Land Use Land Cover Products
Water Resources Application
Public Health Application: Human Population
Public Health Application: Forest Fire Mapping
Public Health Application: Air Pollution
Forest Application: Global Forest Cover Mapping
Forest Application: National Forest Cover Mapping
Forest Application: Other Forest Indices
Machine Learning: Unsupervised Classification
Machine Learning: Training Data
Machine Learning: Supervised Classification (CART)
Machine Learning: Supervised Classification (Random Forest)
Final Project
Bonus

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5. Introduction to Google Earth Engine (GEE) 经过 “AulaGEO Academy, Mirza Waleed” Udemy课程

Get started with geospatial data by applying the JavaScript programming language

截至目前，超过 1282+ 人们已经注册了这门课程，而且已经结束了 29+ 评论.

课程内容
Introduction
Basics of Google Earth Engine oriented JavaScript (JS) Programming language
Working with vector and raster datasets – Google Earth Engine
The role of reducers – Google Eath Engine
Automating the analysis in GEE

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6. Big Geospatial Data Analysis with Google Earth Engine 经过 Dr. Alemayehu M. Udemy课程

“Learn to analyze, visualize big Earth observation data, Remote Sensing, GIS, Google Earth Engine Cloud Computing”

截至目前，超过 865+ 人们已经注册了这门课程，而且已经结束了 137+ 评论.

课程内容
Explore Earth Engine API
Big Earth Observation Data
Visualization of Satellite Data
Plot Monthly Time Series
Extract Monthly Time Series
Bonus

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7. QGIS & Google Earth Engine for Environmental Applications 经过 Kate Alison Udemy课程

Conduct applied spatial analysis (Remote Sensing & GIS) for Environmental Applications in QGIS & Google Earth Engine

截至目前，超过 825+ 人们已经注册了这门课程，而且已经结束了 123+ 评论.

课程内容
Introduction
Introduction to software used in this course: QGIS and Google Earth Engine
Remote Sensing Crash Course
QGIS for Land Applications & Indicators assessment
Drought Monitoring based on MODIS time series in QGIS
Basics of Jave Scrips for Google Earth Engine and first steps in image analysis
Environmental Applications on the cloud: Google Earth Engine & EO browser
Time Series Trend Analysis in Google Earth Engine

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8. Google Earth Engine for Remote Sensing: from Zero to Hero 经过 “Kate Alison, Georg Müller” Udemy课程

Get introduced and Become Expert in Geospatial analysis & Remote Sensing for spatial analysis in Google Earth Engine

截至目前，超过 694+ 人们已经注册了这门课程，而且已经结束了 126+ 评论.

课程内容
Introduction
Introduction to Google Earth Engine
Short introduction to spatial and satellite data . theory
Getting started with JavaScrip and geospatial analysis in Google Earth Engine
Image Calculations and Mapping Functions in Earth Engine
Importing / Exporting Data in Google Earth Engine
Examples: Geospatial Analysis in Google Earth Engine
Introduction to Land use / land cover (LULC) classification
Outlook

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9. Advanced Google Earth Engine(GEE) For Spatial Data Analysis 经过 Minerva Singh Udemy课程

Google Earth Engine For Geospatial Data Analysis and Machine Learning For Remote Sensing Data in the Cloud

截至目前，超过 551+ 人们已经注册了这门课程，而且已经结束了 103+ 评论.

课程内容
Welcome to Google Earth Engine (GEE)
Get Started with GEE In Your Browser
Working With the GEE Code Editor
Work With Shapefile/Feature Data
Basic Imagery Exploration
Working With Optical Data in GEE
Radar Data
Other Imagery Datasets
Machine Learning in GEE

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10. Predict just about anything with Google Earth Engine. Part I 经过 Andrea Markos Udemy课程

Sampling strategies and tools: what you need to work through before applying machine learning or AI

截至目前，超过 76+ 人们已经注册了这门课程，而且已经结束了 8+ 评论.

课程内容
Getting started
Compute and sample covariates and explore their predictive power on Y
Advanced tools for data aggregation and extraction.

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下面是一些关于学习的常见问题谷歌地图引擎

学习谷歌地图引擎需要多长时间？

“学习谷歌地图引擎需要多长时间”这个问题的答案是。 . .这取决于。每个人都有不同的需求，每个人都在不同的场景下工作，所以一个人的答案可能与另一个人的答案完全不同。

考虑这些问题：你想学习 谷歌地图引擎 是为了什么？你的出发点在哪里？您是初学者还是有使用 谷歌地图引擎 的经验？你能练习多少？每天1小时？每周40小时？ 查看本课程关于 谷歌地图引擎.

谷歌地图引擎 学起来容易还是难？

不，学习 谷歌地图引擎 对大多数人来说并不难。检查这个 关于如何学习的课程 谷歌地图引擎 立刻！

如何快速学习谷歌地图引擎？

学习 谷歌地图引擎 最快的方法是先得到这个 谷歌地图引擎 课程, 然后尽可能练习你学到的任何东西。即使每天只有 15 分钟的练习。一致性是关键.

在哪里学习 谷歌地图引擎？

如果您想探索和学习 谷歌地图引擎，那么 Udemy 为您提供了学习 谷歌地图引擎 的最佳平台。查看此 关于如何学习的课程 谷歌地图引擎 立刻！