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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/gis-applications
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课程名称：影像、自动化与应用 课程概述： 欢迎来到本系列课程的最后一门课程（除非您还继续进行顶点项目）。在本课程中，您将运用所学的ArcGIS知识，完成技术任务，如栅格计算和适宜性分析。本课程共分为四个模块，帮助您熟悉GIS中的空间分析和应用。 第一周：您将学习远程感知和卫星影像，并介绍电磁波谱。在本周结束时，您将能够在线查找和下载卫星影像，并使用它进行两种常见类型的分析：NDVI和训练分类。 第二周：您将学习如何使用ModelBuilder创建大型处理工作流，利用参数、前置条件、变量以及一组新工具。我们还将探索一些虽未能详细讨论但可能激发您未来学习兴趣的主题，例如地理编码、时间数据、空间统计和ArcGIS Pro。 第三周：在第三周，您将使用一些特定工具（如切填工具、丘陵阴影和可视域）制作和使用数字高程模型。同时，我们将介绍几种常用算法，其中包括一个非常重要的：适宜性分析。 第四周：在最后一周，我们将讨论一些尚未在系列中触及的空间分析工具：区域分组以创建区域、焦点统计以平滑丘陵阴影、重新分类以更改值，以及点密度以创建密度表面。最后，我们将提供一些后续学习的建议，帮助您在独立学习GIS主题时找到方向。 该课程可以作为“地理空间与环境分析”单独学习，或作为地理信息系统（GIS）专业化的一部分。您应具备与完成前三门课程“GIS基础”、“GIS数据格式、设计与质量”、“地理空间与环境分析”相当的经验，才能参加本课程。完成第四门课程后，您将获得继续进行专业化顶点项目所需的技能。
Part: 1
Title:Course Overview, Imagery, and Raster Calculator
Description:In this module, we'll learn all about remote sensing and satellite imagery, starting out with an introduction to remotely sensed data and the electromagnetic spectrum before learning about satellite and aerial imagery capture and data products. You'll learn how to find and download satellite imagery online and how to use it in two different common types of analysis: NDVI and a trained classification. In the second lesson, you'll learn how to use some basic tools to support image analysis using Raster Calculator and Spatial Analyst.
Part: 2
Title:ModelBuilder and Other Topics
Description:In this module, we will learn about ModelBuilder, a drag and drop tool for automating, and reusing workflows in ArcGIS. We'll explore how models are constructed, build our own models, and undertake building a large processing workflow together in ModelBuilder that uses parameters, preconditions, variables, and a set of tools we haven't used before to work. In the second half of the module, we'll take a brief look at a few topics you should know about, but that we won't have time to explore in depth. You'll be introduced to geocoding, time enabled data, spatial statistics, and ArcGIS Pro. These are little teasers of potential capabilities you might want to explore more in the future on your own.
Part: 3
Title:Digital Elevation Models and Common Algorithms
Description:In this module, we'll be looking at DEMs and workflows. In the first half, we'll make and use a handful of products derived from digital elevation models, including contour lines, hillshades, viewsheds, and the cut fill tool. In the second half of the module, we'll go through a few common algorithms, starting with one of the most important ones to know: the suitability analysis. Then, we'll learn about the hydrologic processing you did in the tutorial assignment for the previous module and go through it step by step together.
Part: 4
Title:Spatial Analyst and Where to Go from Here
Description:In this module, we'll start by learning how to use a few different tools and concepts in Spatial Analyst that we haven't touched on before. We'll use Region Group to make our own zones, Focal Statistics to smooth a hillshade, Reclassify to change values, and Point Density to create a density surface. In the second half of the module, we'll give you some suggestions of directions for future learning by showing you all the things we *didn't* cover in this specialization, including web and mobile GIS applications, field data collection workflows, industry specific tools and workflows, spatial statistics, in-depth design and cartography, programming and GIS servers, and other GIS systems like QGIS and companion applications like Geospatial Modelling Environment. These can serve as seeds for your future GIS learning and careers!
Welcome to the last course of the specialization (unless your continuing on to the capstone project, of course!). Using the knowledge you’ve learned about ArcGIS, complete technical tasks such raster calculations and suitability analysis. In this class you will become comfortable with spatial analysis and applications within GIS during four week-long modules: Week 1: You'll learn all about remotely sensed and satellite imagery, and be introduced to the electromagnetic spectrum. At the end of this week, you'll be able to find and download satellite imagery online and use it for two common types of analysis: NDVI and trained classification. Week 2: You'll learn how to use ModelBuilder to create large processing workflows that use parameters, preconditions, variables, and a new set of tools. We'll also explore a few topics that we don't really have time to discuss in detail, but might whet your appetite for future learning in other avenues: geocoding, time-enabled data, spatial statistics, and ArcGIS Pro. Week 3: In week three, we'll make and use digital elevation models using some new, specific tools such as the cut fill tool, hillshades, viewsheds and more. We'll also go through a few common algorithms including a very important one: the suitability analysis. Week 4: We'll begin the final week by talking about a few spatial analyst tools we haven't yet touched on in the specialization: Region Group to make our own zones, Focal Statistics to smooth a hillshade, Reclassify to change values, and Point Density to create a density surface. Finally, we'll wrap up by talking about a few more things that you might want to explore more as you start working on learning about GIS topics on your own. Take Geospatial and Environmental Analysis as a standalone course or as part of the Geographic Information Systems (GIS) Specialization. You should have equivalent experience to completing the first, second, and third courses in this specialization, "Fundamentals of GIS," "GIS Data Formats, Design, and Quality", and "Geospatial and Environmental Analysis," respectively, before taking this course. By completing the fourth class you will gain the skills needed to succeed in the Specialization capstone.
