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所在平台: Udemy |
课程主页: https://www.udemy.com/course/advanced-land-useland-cover-mapping-with-machine-learning/
课程评论：没有评论
课程名称：GIS中的机器学习：土地利用/土地覆盖影像分析 课程概述：本课程旨在通过机器学习提升土地利用和土地覆盖（LULC）映射的能力，适合希望深入掌握QGIS的学员。课程涵盖对象基础的影像分析及先进的机器学习算法，帮助学员完成复杂的地理空间分析任务。您将学习如何使用QGIS和Google Earth Engine进行LULC映射、变化检测和基于对象的作物类型映射。 课程亮点： - 使用QGIS进行高级地理空间分析 - 对象基础影像分析 - 针对LULC映射的机器学习算法 - 实践练习使用QGIS和Google Earth Engine - 安装和配置开源GIS软件 - 监督学习和无监督学习的机器学习 - 地理空间项目的精度评估 课程重点： 本高级课程将为您提供在LULC映射和对象基础影像分析方面的实用知识。掌握使用机器学习算法进行地理空间任务的信心，利用QGIS和Google Earth Engine的强大功能。无论您是地理学家、程序员、社会科学家还是地质学家，本课程都将提升您的GIS和遥感技能。 学习内容： - 安装和配置开源GIS软件（QGIS和Orfeo Toolbox） - 浏览QGIS软件界面，包括主要组件和插件 - 使用QGIS中的不同机器学习算法对卫星影像进行分类 - 收集训练和验证数据，进行精度评估 - 在QGIS中进行对象基础影像分析和作物类型映射 - 在Google Earth Engine中运行监督和无监督机器学习算法 适合人群： 本课程非常适合希望提升其地理空间分析技能的专业人士，如地理学家、程序员、社会科学家、地质学家，以及任何需要在其领域中使用LULC地图的人士。不论您是计划制作土地覆盖和土地利用地图，处理地理空间挑战，还是探索前沿的LULC技术，这门课程都将提供所需的技能和信心。 课程包含：您将获得所有课程材料的访问权限，包括数据、Java代码文件和未来的资源。立即注册，将您的地理空间分析提升到新的高度！
Advanced Land Use/Land Cover Mapping with Machine LearningAre you looking to advance your geospatial analysis skills using QGIS? Want to master object-based image analysis and harness the power of Machine Learning algorithms for Land Use and Land Cover (LULC) mapping? This course is designed to take QGIS users from basic geospatial analysis to performing advanced tasks with confidence. Explore object-based image analysis with various data sources and cutting-edge Machine Learning algorithms. Dive into LULC mapping, change detection, and object-based crop type mapping using QGIS and Google Earth Engine.Course Highlights:Advanced geospatial analysis using QGISObject-based image analysisMachine Learning algorithms for LULC mappingPractical exercises with QGIS and Google Earth EngineInstallation and configuration of open-source GIS softwareSupervised and unsupervised Machine LearningAccuracy assessment for geospatial projectsCourse Focus:This advanced course is designed to equip you with practical knowledge in advanced Land Use and Land Cover (LULC) mapping and object-based image analysis. Gain confidence in using Machine Learning algorithms for geospatial tasks and leverage the capabilities of QGIS and Google Earth Engine. Whether you're a geographer, programmer, social scientist, or geologist, this course will enhance your GIS and Remote Sensing skills.What You'll Learn:Installing and configuring open-source GIS software (QGIS and Orfeo Toolbox)Navigating the QGIS software interface, including its main components and plug-insClassifying satellite images with different Machine Learning algorithms in QGISCollecting training and validation data and performing accuracy assessmentsObject-based image analysis and object-based crop type mapping in QGISRunning supervised and unsupervised Machine Learning Algorithms in Google Earth EngineWho Should Enroll:This course is ideal for professionals seeking to advance their geospatial analysis skills, including geographers, programmers, social scientists, geologists, and anyone needing to use LULC maps in their field. Whether you're planning to create land cover and land use maps, tackle geospatial challenges, or explore the cutting-edge LULC techniques, this course provides the skills and confidence you need.INCLUDED IN THE COURSE: Gain access to all course materials, including data, Java code files, and future resources. Enroll today to take your geospatial analysis to the next level!
