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所在平台: Udemy |
课程主页: https://www.udemy.com/course/land-use-land-cover-classification-gis-erdas-arcgis-envi/
课程评论：没有评论
以下是关于Coursera上“土地利用/土地覆盖分类：GIS、ERDAS、ArcGIS、ML”课程的中文内容摘要： 本课程是GIS领域中备受追捧的土地利用/土地覆盖（LULC）分类的入门课程。课程内容涵盖了从数据下载到最终结果输出的整个流程，并重点介绍了ERDAS、ArcGIS、ENVI和机器学习等多种工具和技术。 **课程亮点：** * **全面覆盖：** 教授所有可能的土地利用分类方法，包括监督分类、非监督分类和混合分类。 * **数据预处理：** 详细讲解了影像下载后的预处理步骤，以及分类后的误差像元校正。 * **实用技能：** 教授如何校正特定区域的像元以达到最高精度。 * **核心工具：** 重点强调ERDAS和ArcGIS在影像分类与计算中的应用。 * **机器学习集成：** 引入机器学习技术进行影像分类。 * **精度评估：** 包含在ERDAS中生成精度评估报告的教程。 * **解决实际问题：** 针对分类中常见的难题，如城市区域与裸露地、干涸河流水体与城市区域的混淆，以及山区光照阴影区森林分类困难等问题，提供解决方案。 * **软件兼容性：** 适用于ERDAS 2014、2015、2016、2018版本，及ArcGIS 10.1及以上版本（如10.4、10.7、10.8）。 * **实践为主：** 课程包含90%的实践操作和10%的理论讲解。 **学习建议：** 在开始学习具体的土地利用分类方法之前，建议先完整观看整个课程，然后根据自己的研究区域和偏好选择一种方法进行学习。不同的分类方法适用于不同的研究区域。 **课程宗旨：** 通过本课程的学习，学员将能够独立完成土地利用/土地覆盖分类任务，无需他人指导。
This is the first landuse landcover course on Udemy the most demanding topic in GIS, In this course, I covered from data download to final results. I used ERDAS, ArcGIS, ENVI and MACHINE LEARNING. I explained all the possible methods of land use classification. More then landuse, Pre-Procession of images are covered after download and after classification, how to correct error pixels are also covered, So after learning here you no need to ask anyone about lanudse classification. I explained the theoretical concept also during the processing of data. I have covered supervised, unsupervised, combined method, pixel correction methods etc. I have also shown to correct area-specific pixels to achieve maximum accuracy. Most of this course is focused on Erdas and ArcGIS for image classification and calculations. For in-depth of all methods enrol in this course. Image classification with Machine learning also covered in this course. This course also includes an accuracy assessment report generation in erdas. Note: Each Land Use method Section covers different Method from the beginning, So before starting landuse watch the entire course. Then start land use with a method that you think easy for you and best fit for your study area., then you will be able to it best. Different method is applicable to a different type of study area. This course is applicable to Erdas Version 2014, 2015, 2016 and 2018. and ArcGIS Version 10.1 and above, i.e 10.4, 10.7 or 10.890% practical 10% theoryProblem faced During classification:Some of us faced problem during classification as:Urban area and barren land has the same signatureDry river reflect the same signature as an urban area and barren landif you try to correct urban and get an error in barrenIn Hilly area you cannot classify forest which is in the hill shade area. Add new class after final workHow to get rid of this all problems Join this course.
