|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/land-use-land-cover-classification/
课程评论：没有评论
**课程名称：** Google Earth Engine 遥感陆表覆盖制图 **课程概述：** 本课程旨在教授您如何在云端实现陆表覆盖分类算法，快速掌握数字图像处理和分类技术，并助您成为一名空间数据科学家。您将深入学习使用 Google Earth Engine（GEE）这一强大的云平台，处理海量的卫星数据，并应用各种分类方法进行陆表覆盖制图。 **课程内容亮点：** * **分类方法：** * 无监督分类（聚类） * 训练参照数据准备 * Landsat、Sentinel 和 MODIS 数据的监督分类 * **专题分析：** * 变化检测分析（水体和森林变化分析） * **全球陆表覆盖产品：** * 介绍 NLCD, Globe Cover, 和 MODIS Land Cover 等全球数据集 * **实践训练：** 课程提供丰富的案例数据、示例脚本和实际应用场景，确保学员获得动手实践经验。 * **核心技能提升：** * 掌握卫星数据处理技巧 * 熟练应用各种分类算法 * 学习如何使用混淆矩阵评估分类精度 * 掌握利用机器学习和监督分类算法处理大规模地理空间数据 **学习目标：** 完成本课程后，您将能够： * 利用 Google Earth Engine 云平台进行陆表覆盖分类。 * 熟练应用无监督和监督分类技术。 * 运用 Landsat、MODIS 和 Sentinel 等多种卫星数据。 * 进行变化检测分析。 * 评估分类结果的准确性。 * 运用机器学习和云端计算处理大数据。 **适合人群：** 对空间数据科学、遥感图像处理、环境监测、城市规划等领域感兴趣的学生、研究人员和从业者。 **立即报名，开启您的空间数据科学之旅！**
Do you want to implement a land cover classification algorithm on the cloud?Do you want to quickly gain proficiency in digital image processing and classification?Do you want to become a spatial data scientist?Enroll in this Remote Sensing for Land Cover Mapping in Google Earth Engine course and master land use land cover classification on the cloud.In this course, we will cover the following topics:Unsupervised Classification (Clustering)Training Reference dataSupervised Classification with Landsat Supervised Classification with Sentinel Supervised Classification with MODIS Change Detection Analysis (Water and Forest Change Analysis)Global Land Cover Products (NLCD, Globe Cover, and MODIS Land Cover)I will provide you with hands-on training with example data, sample scripts, and real-world applications. By taking this course, you will take your spatial data science skills to the next level by gaining proficiency in processing satellite data, applying classification algorithms, and assessing classification accuracy using a confusion matrix. We will apply classification using various satellites including Landsat, MODIS, and Sentinel. When you are done with this course, you will master methods on how to apply machine learning and supervised classification algorithm using cloud computing and big geospatial data.Jump in right now to enroll. To get started click the enroll button.
