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所在平台: Udemy |
课程主页: https://www.udemy.com/course/learn-google-earth-engine-gee/
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课程名称：谷歌地球引擎（GEE）简介 - AulaGEO 课程概述： 谷歌地球引擎是一个用于地理空间数据集科学分析和可视化的平台，面向学术、非营利、商业及政府用户。谷歌地球引擎拥有卫星图像，并将其存储在一个包含超过四十年历史的公共数据档案中。每日获取的数据使得全球范围的数据挖掘成为可能。该平台还提供API及其他工具，帮助分析大型数据集。谷歌地球允许用户通过互动虚拟地球进行旅行、探索和学习，查看卫星图像、地图、地形和3D建筑等。而谷歌地球引擎则更侧重于分析地理空间信息，用户可以分析森林和水域覆盖、土地利用变化、农业地块的健康状况等。 课程内容： 在本课程中，您将学习以下内容： - 谷歌地球引擎概述 - GEE背景及应用 - GEE的前置要求 - 与谷歌地球引擎相关的JavaScript编程语言基础 - 编程的基本概念 - 最常用的GEE JS API语法 - 编写高效代码的技巧 - 处理矢量和栅格数据集 - 获取GEE数据集的途径 - 导入和可视化矢量数据集的方法 - 导入和可视化栅格数据集的方法 - 在GEE中导入自己的矢量或栅格数据集 - 特征或图像集合的过滤 - 过滤数据集的必要性与不同类型的过滤 - 减少和剪裁图像集合 - Reducers的作用与类型 - 将图像集合转换为单一图像 - 编程中的运算符及其高效使用 - 使用运算符评估NDVI - 在GEE中实现分析的自动化 - 自动化在GEE中的必要性 - For循环概念（参考Python）及其在GEE中的实现 该课程为希望了解和使用谷歌地球引擎进行地理空间数据分析的学习者提供了全面的基础知识和技术指导。
Google Earth Engine is a platform for scientific analysis and visualization of geospatial datasets, for academic, non-profit, business and government users.Google Earth Engine hosts satellite imagery and stores it in a public data archive that includes historical earth images going back more than forty years. The images, ingested on a daily basis, are then made available for global-scale data mining.Earth Engine also provides APIs and other tools to enable the analysis of large datasets.Google Earth enables you to travel, explore, and learn about the world by interacting with a virtual globe. You can view satellite imagery, maps, terrain, 3D buildings, and much more.Earth Engine, on the other hand, is a tool for analyzing geospatial information. You can analyze forest and water coverage, land use change, or assess the health of agricultural fields, among many other possible analyses.While the two tools rely on some of the same data, only some of Google Earth's imagery and data is available for analysis in Earth Engine.#AulaGEOIn this course you will learn:Google Earth Engine Course overviewIntroductionGEE backgroundGEE applicationsGEE Pre-requirementsBasics of Google Earth Engine oriented JavaScript (JS) Programming languageBasic programming conceptsMostly used GEE JS API syntaxHow to write efficient code guideWorking with vector and raster datasetsWhere to get different datasets for GEEHow to import and visualize vector datasetsHow to import and visualize raster datasetsHow to import your own vector or raster dataset in GEEFiltering the feature or image collectionThe need for filtering datasetsDifferent types of filtersWhen and where to use filtersReducing and Clipping image collectionThe role of reducersDifferent types of reducersConverting image collections into single imageOperatorsUse of operators in programmingEfficient use of Operators in GEEEvaluating NDVI using operatorsAutomating the analysis in GEEThe need of automation in GEEThe concept of For-Loops (with reference to Python)Implementation of For-Loops in GEE using ".Map" function.
