Imagery, Automation, and Applications

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课程主页: https://www.coursera.org/archive/gis-applications

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课程简介

University of California, Davis

课程大纲

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.

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课程详情

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.

图像,自动化和应用程序:欢迎来到专业化课程的最后一个课程(当然,除非您继续进行capstone项目!)。 利用您所掌握的关于ArcGIS的知识,完成诸如栅格计算和适用性分析之类的技术任务。在本课程中,您将在四个星期的课程中熟悉GIS中的空间分析和应用程序: 第一周:您将学习有关遥感图像和卫星图像的所有知识,并介绍电磁频谱。在本周末,您将能够在线找到并下载卫星图像,并将其用于两种常见的分析类型:NDVI和经过训练的分类。 第2周:您将学习如何使用ModelBuilder创建使用参数,前提条件,变量和一组新工具的大型处理工作流程。我们还将探索一些我们实际上没有时间进行详细讨论的主题,但可能会激发您在其他途径上学习的兴趣,这些其他途径包括:地理编码,启用时间的数据,空间统计信息和ArcGIS Pro。 第3周:在第3周,我们将使用一些新的特定工具(例如挖填工具,山体阴影,视域等)来制作和使用数字高程模型。我们还将介绍一些常见的算法,其中包括一个非常重要的算法:适用性分析。 第4周:我们将通过讨论一些我们尚未在专业化中涉及的空间分析工具来开始最后一周,这些工具包括:区域组(Region Group)以创建我们自己的区域;焦点统计(Focal Statistics)以平滑山体阴影;重新分类以更改值;以及点密度以创建密度表面。最后,我们将通过讨论您自己开始学习GIS主题时可能需要探索的更多内容作为总结。 将地理空间和环境分析作为一门独立的课程或作为地理信息系统(GIS)专业化的一部分。在学习本课程之前,您应该具有分别完成本专业的第一门,第二门和第三门课程,“ GIS基础”,“ GIS数据格式,设计和质量”以及“地理空间和环境分析”的等效经验。 。通过完成第四节课,您将获得成功获得专业化课程顶峰所需的技能。

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