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!
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