Imagery, Automation, and Applications

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Imagery, Automation, and Applications

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Beschreibung

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About this 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 u…

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Frequently asked questions

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Noch nicht den perfekten Kurs gefunden? Verwandte Themen: ArcGIS, Capstone Courses, Software-Architektur, Software- / Systemingenieurwesen und Software Entwicklung.

When you enroll for courses through Coursera you get to choose for a paid plan or for a free plan

  • Free plan: No certicification and/or audit only. You will have access to all course materials except graded items.
  • Paid plan: Commit to earning a Certificate—it's a trusted, shareable way to showcase your new skills.

About this 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.

Who is this class for: This course is targeted at those who have taken the first three courses in the GIS specialization, or who have equivalent foundational GIS experience. We encourage you to audit or enroll in those courses before taking this course.

Created by:  University of California, Davis
  • Taught by:  Nick Santos, Geospatial Applications Researcher

    Center for Watershed Sciences
Basic Info Course 4 of 5 in the Geographic Information Systems (GIS) Specialization Language English How To Pass Pass all graded assignments to complete the course. User Ratings 4.9 stars Average User Rating 4.9See what learners said Travail en cours

Chaque cours fonctionne comme un manuel interactif en proposant des vidéos préenregistrées, des quiz et des projets.

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Connectez-vous à des milliers d'autres étudiants et débattez sur des idées, discutez le contenu du cours et obtenez de l'aide pour en maîtriser les concepts.

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University of California, Davis UC Davis, one of the nation’s top-ranked research universities, is a global leader in agriculture, veterinary medicine, sustainability, environmental and biological sciences, and technology. With four colleges and six professional schools, UC Davis and its students and alumni are known for their academic excellence, meaningful public service and profound international impact.

Syllabus


WEEK 1


Course Overview, Imagery, and Raster Calculator



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.


13 videos, 3 readings expand


  1. Video: Course Overview
  2. Lecture: Getting Started in this Course
  3. Lecture: Getting Help in this Course
  4. Video: Remote Sensing Basics
  5. Video: Characteristics of Remotely Sensed Data
  6. Video: Modes of Acquisition
  7. Video: Acquisition Platforms
  8. Video: Acquiring Imagery and Terrain Data
  9. Video: Working with Imagery in ArcMap
  10. Video: Normalized Difference Vegetation Index (NDVI)
  11. Video: Classifying Imagery and Derived Products
  12. Lecture: Assignment: Image Classification
  13. Demande de discussion: Class Breakouts for Imagery
  14. Demande de discussion: Machine Learning and Remotely Sensed Imagery
  15. Video: Map Algebra/Raster Calculator/Overlaying Rasters
  16. Video: Con/SetNull
  17. Video: Create Constant/Random Raster
  18. Video: Geospatial Modelling Environment

Graded: Module 1 Quiz
Graded: Lesson 2 Quiz

WEEK 2


ModelBuilder and Other Topics



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.


13 videos, 3 readings expand


  1. Video: Module 2 Overview
  2. Video: What is ModelBuilder?
  3. Video: Creating Toolboxes and Tools with ModelBuilder
  4. Video: Setting Up a Larger Model
  5. Video: Using Interface Tools as Geoprocessing Tools in ModelBuilder
  6. Video: Feature Layers and Selections in Models
  7. Video: Branching, Preconditions, and Viewing Progress Interactively
  8. Video: Polishing Models for Reuse
  9. Video: Advanced Models and Exporting Models to Python
  10. Lecture: Tutorial Assignment 2: ModelBuilder for Hydrology
  11. Demande de discussion: ModelBuilder Workflows
  12. Lecture: Extra Practice: ModelBuilder
  13. Video: Geocoding and Reverse Geocoding
  14. Lecture: Extra Practice: Geocoding
  15. Video: Time Enabled Data
  16. Video: Spatial Statistics Introduction
  17. Video: ArcGIS Pro Introduction
  18. Demande de discussion: Tools & Techniques

Graded: Lesson 3 Quiz
Graded: Lesson 4 Quiz

WEEK 3


Digital Elevation Models and Common Algorithms



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.


9 videos, 1 reading expand


  1. Video: Module 3 Overview
  2. Video: Contours
  3. Video: Hillshade
  4. Video: Viewshed
  5. Video: Cut Fill
  6. Video: Vector-Based Suitability Analysis
  7. Video: Fuzzy Suitability Analysis
  8. Demande de discussion: Suitability Analysis
  9. Video: Watershed Processing
  10. Video: Processing DEMs into Streamlines
  11. Demande de discussion: Non-Water Applications for Hydrology Toolset
  12. Lecture: Tutorial Assignment 3: ArcGIS Spatial Analyst Extension

Graded: Lesson 5 Quiz
Graded: Lesson 6 Quiz

WEEK 4


Spatial Analyst and Where to Go from Here



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!


11 videos, 1 reading expand


  1. Video: Module 4 Oveview
  2. Video: Region Group
  3. Video: Focal Statistics and the Swiss Hillshade
  4. Video: Reclassify
  5. Video: Point Density
  6. Demande de discussion: Combining Tools
  7. Video: Online and Connected Applications
  8. Video: Collecting and Managing Data for Your Workflows
  9. Video: Additional Desktop GIS Topics
  10. Video: Programming GIS Software, Server-Side GIS, and Cartography
  11. Video: Other GIS Tools & Plugins, and Joining Communities
  12. Lecture: Continue Learning GIS
  13. Demande de discussion: What's Next?
  14. Video: Course Summary

Graded: Lesson 7 Quiz
Graded: Imagery, Automation, and Applications Final Assignment

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