Imagery, Automation, and Applications

  • 4.9
Approx. 28 hours to complete

Course Summary

This course introduces GIS (Geographic Information Systems) and its applications in various fields. Students will learn how to use GIS tools to solve real-world problems and explore spatial data analysis techniques.

Key Learning Points

  • Learn how to use GIS software and data to solve real-world problems
  • Understand spatial data analysis techniques
  • Explore GIS applications in various fields

Related Topics for further study


Learning Outcomes

  • Ability to use GIS software and data to solve real-world problems
  • Understanding of spatial data analysis techniques
  • Knowledge of GIS applications in various fields

Prerequisites or good to have knowledge before taking this course

  • Basic computer skills
  • Familiarity with spreadsheet software

Course Difficulty Level

Beginner

Course Format

  • Online
  • Self-paced

Similar Courses

  • Geographic Information Systems (GIS)
  • Introduction to GIS Mapping

Related Education Paths


Notable People in This Field

  • Founder of Esri
  • Professor of Geography

Related Books

Description

Welcome to the last course of the specialization (unless your continuing on to the capstone project, of course!).

Knowledge

  • Use the imagery in two different common types of analysis: NDVI and trained classification
  • Practice with tools to support image analysis using Raster Calculation and Spatial Analyst
  • Develop a large processing workflow in ModelBuilder
  • Use products derived from digital elevation models

Outline

  • Course Overview, Imagery, and Raster Calculator
  • Course Overview
  • Course Mechanics
  • Remote Sensing Basics
  • Characteristics of Remotely Sensed Data
  • Modes of Acquisition
  • Acquisition Platforms
  • Acquiring Imagery and Terrain Data
  • Working with Imagery in ArcMap
  • Normalized Difference Vegetation Index (NDVI)
  • Classifying Imagery and Derived Products
  • Map Algebra/Raster Calculator/Overlaying Rasters
  • Con/SetNull
  • Create Constant/Random Raster
  • Geospatial Modelling Environment
  • Getting Started in this Course
  • Getting Help in this Course
  • Assignment: Image Classification
  • Module 1 Quiz
  • Lesson 2 Quiz
  • ModelBuilder and Other Topics
  • Module 2 Overview
  • What is ModelBuilder?
  • Creating Toolboxes and Tools with ModelBuilder
  • Setting Up a Larger Model
  • Using Interface Tools as Geoprocessing Tools in ModelBuilder
  • Feature Layers and Selections in Models
  • Branching, Preconditions, and Viewing Progress Interactively
  • Polishing Models for Reuse
  • Advanced Models and Exporting Models to Python
  • Geocoding and Reverse Geocoding
  • Time Enabled Data
  • Spatial Statistics Introduction
  • ArcGIS Pro Introduction
  • Tutorial Assignment 2: ModelBuilder for Hydrology
  • Extra Practice: ModelBuilder
  • Extra Practice: Geocoding
  • Lesson 3 Quiz
  • Lesson 4 Quiz
  • Digital Elevation Models and Common Algorithms
  • Module 3 Overview
  • Contours
  • Hillshade
  • Viewshed
  • Cut Fill
  • Vector-Based Suitability Analysis
  • Fuzzy Suitability Analysis
  • Watershed Processing
  • Processing DEMs into Streamlines
  • Tutorial Assignment 3: ArcGIS Spatial Analyst Extension
  • Lesson 5 Quiz
  • Lesson 6 Quiz
  • Spatial Analyst and Where to Go from Here
  • Module 4 Oveview
  • Region Group
  • Focal Statistics and the Swiss Hillshade
  • Reclassify
  • Point Density
  • Online and Connected Applications
  • Collecting and Managing Data for Your Workflows
  • Additional Desktop GIS Topics
  • Programming GIS Software, Server-Side GIS, and Cartography
  • Other GIS Tools & Plugins, and Joining Communities
  • Course Summary
  • Continue Learning GIS
  • Lesson 7 Quiz

Summary of User Reviews

Discover the fascinating world of GIS applications with Coursera's GIS Applications course. This course has received positive reviews from many users, who found it to be informative and engaging. One key aspect that many users thought was good is the practical assignments and case studies that help in building real-world skills.

Pros from User Reviews

  • Practical assignments and case studies help build real-world skills
  • Informative and engaging course material
  • Flexible schedule and self-paced learning
  • Great instructor support and feedback
  • Good value for money

Cons from User Reviews

  • Some users found the course to be too basic
  • The course may not be suitable for advanced learners
  • Limited interaction with other students
  • Some technical glitches in the platform
  • The course could be more hands-on
English
Available now
Approx. 28 hours to complete
Nick Santos
University of California, Davis
Coursera

Instructor

Nick Santos

  • 4.9 Raiting
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