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所在平台: Udemy |
课程主页: https://www.udemy.com/course/introduction-to-remote-sensing/
课程评论：没有评论
课程名称：Google Earth Engine远程感知基础 课程概述：您想学习远程感知的基本知识吗？您是否希望使用免费的开源工具访问、处理和分析遥感和GIS数据？您想利用可用的卫星数据解决实际问题吗？您希望掌握新的实践技能，为在地理空间行业的遥感和GIS工作做好准备吗？那么，快来报名参加《Google Earth Engine远程感知基础》课程吧。 在此课程中，我将为您提供基于GIS和遥感数据的实践培训，包括样本脚本和实际应用。通过本课程，您将提升卫星遥感技能，熟练掌握Google支持的云平台——Google Earth Engine（GEE）进行卫星遥感与地理空间分析。 本课程将帮助您在Google Earth Engine JavaScript API平台上快速入门，处理和分析地理空间数据。课程结束时，您将掌握一系列新技能，包括如何访问、下载、处理、分析和可视化GIS及地球观测大数据。 课程涵盖的主题包括：远程感知简介、分辨率类型、遥感数据源、数字图像处理和图像分类。我将使用真实的卫星数据（如Landsat、MODIS、Sentinel-2等）为您提供实际操作的经验，系统地引导您通过视频教程逐步处理和分析遥感数据。 除了学习基本概念、理论和术语外，您还将掌握图像处理的步骤，包括马赛克、重采样、重新投影、合成、光谱解混、光谱变换和分类等，均基于真实的卫星数据和示例脚本。此外，我将为您提供所有样本数据和脚本，作为课程的额外福利。 立即报名，点击注册按钮，开始您的学习之旅吧！
Do you want to learn the fundamentals of remote sensing?Do you want to learn how to access, process, and analyze remote sensing and GIS data using free open-source tools?Do you want to solve a real-world problem using freely available satellite data?Do you want to acquire new hands-on Remote Sensing skills that will prepare you for a remote sensing and GIS job in the geospatial industry?Enroll in this Fundamentals of Remote Sensing with Google Earth Engine course. I will provide you with hands-on training with examples of GIS and Remote Sensing data, sample scripts, and real-world applications. By taking this course, you will take your satellite remote sensing skills to the next level by gaining proficiency in satellite remote sensing and geospatial analysis with GEE, a cloud-based Earth observation, and GIS data visualization analysis powered by Google. In this Fundamentals of Remote Sensing and Image Analysis course, I will help you get up and running on the Google Earth Engine JavaScript API platform form to process and analyze geospatial data. By the end of this course, you will be equipped with a set of new Remote Sensing skills including accessing, downloading processing, analyzing, and visualizing GIS and Earth Observation big data. The course covers various topics including introduction to remote sensing, types of resolutions, remote sensing data sources, digital image processing, and image classification. In this course, I will use real satellite data including Landsat, MODIS, Sentinel-2, and others to provide you with a hands-on practical experience of working with freely available remotely sensed data. I will walk you through using a step by step video tutorials to process and analyze remote sensing data using a cloud platform. In addition to learning the basic concepts, theories, and terminologies, you will also learn the steps for image processing including mosaicking, resampling, reprojections, compositing, spectral unmixing, spectral transformation, and classification using real-world satellite data and example scripts. All sample data and scripts will be provided to you as an added bonus throughout the course.Jump in right now to enroll. To get started click the enroll button.
