About this Course
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Approx. 20 hours to complete

Suggested: 4 weeks of study, 2-5 hours/week...


Subtitles: English

What you will learn

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    Use the imagery in two different common types of analysis: NDVI and trained classification

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    Practice with tools to support image analysis using Raster Calculation and Spatial Analyst

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    Develop a large processing workflow in ModelBuilder

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    Use products derived from digital elevation models

Skills you will gain

Geographic Information System (GIS)Imagery AnalysisSpatial Analysissatellite imageryGis Applications

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 20 hours to complete

Suggested: 4 weeks of study, 2-5 hours/week...


Subtitles: English

Syllabus - What you will learn from this course

7 hours to complete

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.

14 videos (Total 144 min), 3 readings, 2 quizzes
14 videos
Course Mechanics4m
Remote Sensing Basics6m
Characteristics of Remotely Sensed Data7m
Modes of Acquisition9m
Acquisition Platforms10m
Acquiring Imagery and Terrain Data12m
Working with Imagery in ArcMap12m
Normalized Difference Vegetation Index (NDVI)20m
Classifying Imagery and Derived Products25m
Map Algebra/Raster Calculator/Overlaying Rasters10m
Create Constant/Random Raster5m
Geospatial Modelling Environment7m
3 readings
Getting Started in this Course10m
Getting Help in this Course10m
Assignment: Image Classification3h
2 practice exercises
Module 1 Quiz20m
Lesson 2 Quiz10m
7 hours to complete

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 (Total 148 min), 3 readings, 2 quizzes
13 videos
What is ModelBuilder?12m
Creating Toolboxes and Tools with ModelBuilder12m
Setting Up a Larger Model8m
Using Interface Tools as Geoprocessing Tools in ModelBuilder15m
Feature Layers and Selections in Models10m
Branching, Preconditions, and Viewing Progress Interactively14m
Polishing Models for Reuse13m
Advanced Models and Exporting Models to Python6m
Geocoding and Reverse Geocoding17m
Time Enabled Data10m
Spatial Statistics Introduction13m
ArcGIS Pro Introduction12m
3 readings
Tutorial Assignment 2: ModelBuilder for Hydrology3h
Extra Practice: ModelBuilder10m
Extra Practice: Geocoding10m
2 practice exercises
Lesson 3 Quiz15m
Lesson 4 Quiz10m
6 hours to complete

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 (Total 106 min), 1 reading, 2 quizzes
9 videos
Cut Fill8m
Vector-Based Suitability Analysis15m
Fuzzy Suitability Analysis21m
Watershed Processing14m
Processing DEMs into Streamlines15m
1 reading
Tutorial Assignment 3: ArcGIS Spatial Analyst Extension3h
2 practice exercises
Lesson 5 Quiz10m
Lesson 6 Quiz10m
8 hours to complete

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 (Total 100 min), 1 reading, 2 quizzes
11 videos
Region Group10m
Focal Statistics and the Swiss Hillshade11m
Point Density8m
Online and Connected Applications8m
Collecting and Managing Data for Your Workflows10m
Additional Desktop GIS Topics10m
Programming GIS Software, Server-Side GIS, and Cartography14m
Other GIS Tools & Plugins, and Joining Communities10m
Course Summary3m
1 reading
Continue Learning GIS10m
1 practice exercise
Lesson 7 Quiz10m
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Top reviews from Imagery, Automation, and Applications

By SMJul 17th 2017

The course contents are up to date and equip the learner to face the real world of Remote sensing and GIS. I encourage those who still hesitate to get enrolled to make their decision soon.....

By LHFeb 19th 2019

Si quieres aprender acerca de detección remota, este es el curso indicado. He aprendido muchísimo acerca de imagen y creación de modelos para correr procesos en SIG



Nick Santos

Geospatial Applications Researcher
Center for Watershed Sciences

About 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....

About the Geographic Information Systems (GIS) Specialization

Knowledge of Geographic Information Systems (GIS) is an increasingly sought after skill in industries from agriculture to public health. This Specialization, offered in partnership with ArcGIS developer Esri, will teach the skills you need to successfully use GIS software in a professional setting. You will learn how to analyze your spatial data, use cartography techniques to communicate your results in maps, and collaborate with peers in GIS and GIS-dependent fields. In the final Capstone Project, you will create a professional-quality GIS portfolio piece using a combination of data identification and collection, analytical map development, and spatial analysis techniques....
Geographic Information Systems  (GIS)

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • You should have some experience in GIS before taking this course - it's not for beginners. This is the fourth course in the Geographic Information Systems specialization, and you should have taken the first three courses in the specialization, "Fundamentals of GIS", "GIS Data Formats, Design, and Quality", and "Geospatial and Environmental Analysis" here on Coursera before enrolling in this course, or have equivalent experience. If you're not sure if you have equivalent experience, you can audit those courses for free to look through the materials and fill in any gaps. Search for them by name on the site to find them.

    Since all of the courses in the specialization run monthly, you won't miss out on this course by enrolling in those courses first. This course will have a new session once you have the skills needed to take it.

More questions? Visit the Learner Help Center.