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所在平台: Udemy |
课程主页: https://www.udemy.com/course/spatial-data-analysis-with-earth-engine-python-api/
课程评论：没有评论
课程名称：Google Earth Engine Python API中的空间数据分析 课程概述：您是否想通过Earth Engine Python API和Jupyter Notebook访问卫星传感器？您是否想在云端学习空间数据科学？您是否希望成为一名空间数据科学家？加入我全新的课程——Google Earth Engine Python API中的空间数据分析。我将为您提供基础训练，包括示例数据、样例脚本和实际应用。在这门课程中，您将能够安装Anaconda和Jupyter Notebook，接着您将通过Earth Engine Python API访问卫星数据。 本课程旨在帮助您熟练掌握Earth Engine Python API和Jupyter Notebook。课程结束时，您将能够访问所有示例脚本和数据，进而获取、下载、可视化大数据并提取信息。 本课程将涵盖以下主题： - Earth Engine Python API介绍 - 安装Anaconda和Jupyter Notebook - 设置Python环境 - 光栅数据可视化 - 矢量数据可视化 - 加载Landsat卫星数据 - 云掩膜算法 - NDVI计算 - 导出图像和视频 - 图像集合处理 - 机器学习算法 - 高级数字图像处理 学习图像处理的一个常见问题是软件成本高昂。在本课程中，我将完全使用开源软件，包括Google Earth Engine Python API和Jupyter Notebook。课程中将提供所有样例数据和脚本作为额外奖励。 立即加入，报名参加课程吧！
Do you want to access satellite sensors using Earth Engine Python API and Jupyter Notebook?Do you want to learn spatial data science on the cloud? Do you want to become a spatial data scientist? Enroll in my new course Spatial Data Analysis in Google Earth Engine Python API.I will provide you with hands-on training with example data, sample scripts, and real-world applications. By taking this course, you be able to install Anaconda and Jupyter Notebook. Then, you will have access to satellite data using the Earth Engine Python API.In this Spatial Data Analysis with Earth Engine Python API course, I will help you get up and running on the Earth Engine Python API and Jupyter Notebook. By the end of this course, you will have access to all example scripts and data such that you will be able to access, download, visualize big data, and extract information.In this course, we will cover the following topics:Introduction to Earth Engine Python APIInstall the Anaconda and Jupyter NotebookSet Up a Python EnvironmentRaster Data VisualizationVector Data VisualizationLoad Landsat Satellite DataCloud Masking AlgorithmCalculate NDVIExport images and videosProcess image collectionsMachine Learning AlgorithmsAdvanced digital image processingOne of the common problems with learning image processing is the high cost of software. In this course, I entirely use open source software including the Google Earth Engine Python API and Jupyter Notebook. All sample data and scripts will be provided to you as an added bonus throughout the course.Jump in right now and enroll.
