Imagery, Automation, and Applications

Start Date: 07/05/2020

Course Type: Common Course

Course Link: https://www.coursera.org/learn/gis-applications

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About Course

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.

Course Syllabus

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.

Deep Learning Specialization on Coursera

Course Introduction

Imagery, Automation, and Applications A first look at some of the most prominent types of images and how to use them in your career.Imagery, Automation, and Applications Part 1 Imagery, Automation, and Applications Part 2 Imagery, Automation, and Applications Part 3 Introduction to Computer Graphics This course is an introduction to computer graphics, focusing on the most important topics in computer graphics: shading, rendering, and compositing. You'll learn about the basic ideas behind computer graphics, and how they work, what they mean, and when you can use them. You'll also learn about some of the most important algorithms for working with images and video, and how to use the tools effectively. You'll learn about computer graphics by studying the art and tradeoffs that each brings to the table. We'll cover topics such as image resolution, image quality, and frame rates. You'll also learn about how graphics are laid out and displayed, as well as how to work with image data. The course also includes a number of hands-on exercises and hands-on programming assignments. The programming assignments require some basic knowledge of computer programming, but the computer programming assignments also focus on the most important topics in computer graphics: algorithm design, optimizing image data, and compositing. The course includes hands-on exercises for each of the topics in the specialization, but the programming assignments

Course Tag

Geographic Information System (GIS) Imagery Analysis Spatial Analysis satellite imagery Gis Applications

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