Open source GIS remote sensing for conservation (Beginner)

Open source GIS & remote sensing for conservation (Beginner), available at $44.99, has an average rating of 4.6, with 60 lectures, 6 quizzes, based on 14 reviews, and has 87 subscribers.

You will learn about GIS Remote sensing Conservation Environmental issues QGIS Ecological surveys This course is ideal for individuals who are Conservationists or Ecologists or Wildlife biologists or Beginners in GIS and remote sensing or Professionals in GIS interested in exploring new applications It is particularly useful for Conservationists or Ecologists or Wildlife biologists or Beginners in GIS and remote sensing or Professionals in GIS interested in exploring new applications.

Enroll now: Open source GIS & remote sensing for conservation (Beginner)

Summary

Title: Open source GIS & remote sensing for conservation (Beginner)

Price: $44.99

Average Rating: 4.6

Number of Lectures: 60

Number of Quizzes: 6

Number of Published Lectures: 60

Number of Published Quizzes: 6

Number of Curriculum Items: 68

Number of Published Curriculum Objects: 68

Original Price: $84.99

Quality Status: approved

Status: Live

What You Will Learn

GIS

Remote sensing

Conservation

Environmental issues

QGIS

Ecological surveys

Who Should Attend

Conservationists

Ecologists

Wildlife biologists

Beginners in GIS and remote sensing

Professionals in GIS interested in exploring new applications

Target Audiences

Conservationists

Ecologists

Wildlife biologists

Beginners in GIS and remote sensing

Professionals in GIS interested in exploring new applications

This course introduces essential theoretical concepts of GIS before diving straight into practical uses of this incredible tool to support environment and wildlife conservation. It is suitable for students with limited or no knowledge of GIS, as well as those looking to refresh or enhance their skills applied to the field of conservation.

Developed by Josef Clifford, an experienced GIS & remote sensing specialist, the course curriculum and content was developed in collaboration with scientists from the Wildlife Research and Training Institute of Kenya and the Zoological Society of London to ensure the content is rigorous and relevant.

Real ecological survey data from Kenya, Cameroon and other locations has also been provided by these institutions which is used within practical sessions of this course.

We will cover a multitude of tasks ranging from collecting and managing spatial data during ecological surveys, visualising survey data, and undertaking spatial analysis to understand spatial relationships and extract covariate data. In addition, we will see how to source free spatial data online, how to georeference images, and we will develop publication quality maps. The course will primarily utilise QGIS as well as Google Earth, whilst the advanced course (to be released in late 2024) will also make use of Google Earth Engine and R.

Note that the beginner course focuses more on GIS, whilst the advanced course (to be released in late 2024) will explore remote sensing techniques in greater depth. Good luck and I hope you enjoy the course!

Course Curriculum

Chapter 1: Course introduction

Lecture 1: 1.1. Welcome to the course!

Lecture 2: 1.2. What is GIS?

Lecture 3: 1.3. Components of a GIS

Lecture 4: 1.4. Installing QGIS

Lecture 5: 1.5. Applications of GIS and remote sensing in Conservation

Lecture 6: 1.6. Why open source?

Lecture 7: 1.7. Getting Started with QGIS

Lecture 8: 1.9. Section 1 review

Chapter 2: Basic principles of GIS

Lecture 1: 2.1. Introduction to section 2

Lecture 2: 2.2. Spatial data types

Lecture 3: 2.3. Coordinate reference systems

Lecture 4: 2.4. Projected coordinate reference systems

Lecture 5: 2.5. Which CRS?

Lecture 6: 2.6. Sources of Spatial Data for Conservation

Lecture 7: 2.8. Section 2 review

Chapter 3: Getting started with GIS

Lecture 1: 3.1. Introduction to Section 3

Lecture 2: 3.2. Sourcing data online for conservation applications

Lecture 3: 3.2.x. Extra: OpenStreetMap

Lecture 4: 3.3. Adding spatial data to QGIS

Lecture 5: 3.3.x. Extra: Reprojecting Vector Data

Lecture 6: 3.4. Extracting data

Lecture 7: 3.5. Vector Styles and Labels

Lecture 8: 3.6. Downloading a digital elevation model (DEM)

Lecture 9: 3.7. Raster and DEM Styles

Lecture 10: 3.8. Introduction to mapping and cartography

Lecture 11: 3.9. Creating a publication-quality map in QGIS

Lecture 12: 3.11. Section 3 review

Chapter 4: Working with Vector Data

Lecture 1: 4.1. Introduction to section 4

Lecture 2: 4.2. Georeferencing

Lecture 3: 4.3. Creating new vector data and digitising

Lecture 4: 4.4. Field calculations + calculating feature geometry [e.g. calculate PA areas]

Lecture 5: 4.5. Summarising + analysing attribute table data [% country area protected]

Lecture 6: 4.6. Choropleth Mapping

Lecture 7: 4.7. Complex labelling

Lecture 8: 4.9. Section 4 review

Chapter 5: Survey design and data collection

Lecture 1: 5.1. Introduction to section 5

Lecture 2: 5.2. Ecological survey design

Lecture 3: 5.3. Creating survey grids and transects in QGIS

Lecture 4: 5.4. Ecological survey data collection tools

Lecture 5: 5.4.x. Extra: Preparing an ODK survey

Lecture 6: 5.5. Loading sampling points onto a GPS device or Maps.Me on your mobile

Lecture 7: 5.6. Collecting data in the field on your mobile

Lecture 8: 5.7. Downloading and cleaning data

Lecture 9: 5.9. Section 5 review

Chapter 6: Management and visualisation of Survey Data

Lecture 1: 6.1. Introduction to section 6

Lecture 2: 6.2. Importing and visualising data in Google Earth

Lecture 3: 6.3. Importing and joining CSV data [join camera trap locations with trap rates]

Lecture 4: 6.4. Merging and appending features

Lecture 5: 6.5. Visualising Survey Data

Lecture 6: 6.6. Interpolation and hotspot mapping

Lecture 7: 6.8. Section 6 review

Chapter 7: Vector Spatial Analysis

Lecture 1: 7.1. Introduction to section 7

Lecture 2: 7.2. Buffering [create buffer zone around protected area]

Lecture 3: 7.3. Overlay tools – intersect, union, erase

Lecture 4: 7.4. Spatial join

Lecture 5: 7.5. Nearest Neighbour [details + distance to protected area boundary]

Lecture 6: 7.6. Boolean overlay and suitability analysis [habitat suitability]

Lecture 7: 7.7. Boolean overlay to enhance survey design

Lecture 8: 7.9. Section 7 Review

Chapter 8: Final assessment

Lecture 1: Final session: congrats on completing the Beginner course!

Instructors

Josef Clifford
Freelance GIS and Remote Sensing Specialist

Dr Rajan Amin
Senior Wildlife Biologist at Zoological Society of London

Peter Maina
GIS and Remote Sensing Scientist

Rating Distribution

1 stars: 0 votes

2 stars: 0 votes

3 stars: 1 votes

4 stars: 6 votes

5 stars: 7 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!