Improving your management and analysis of remotely sensed vegetation and land cover data
We will run this course in Wallingford or online, subject to demand.
Students from £199
Professionals from £249
The above costs are the Early Bird discount rates for the online course. Thereafter £50 more.
The online course will run over two half days. The in-person course will run over one full day.
Please express your interest here, so we can fix a course date!
Short course description:
Nomenclature is a system for giving names to things, used to structure information and to facilitate communication and exchange among users in a given discipline.
A nomenclature will normally cover a particular field of interest. Within this field, objects are classified according to certain objectives and assigned to groups within a system of categories based on some of their characteristics.
In this course you will learn how to produce a good land cover nomenclature and learn why having a good land cover nomenclature is essential for good management and analysis of remotely sensed vegetation and land cover data.
This one-day interactive course is delivered in two half days:
The first half day (morning session) will give you an introduction to nomenclatures and how they are built. It will include an interactive session where we will look and discuss examples of well and badly designed nomenclatures.
The second half day (afternoon session) will focus on how maps are derived from remote sensing and how to develop suitable nomenclatures for such maps. It will include an interactive session where you will have the opportunity to develop your own land cover nomenclature.
By the end of the course, you will understand the principles behind land cover/ land use and vegetation nomenclatures. You will be able to create a nomenclature appropriate for a remote-sensing derived land cover map.
- Learn about nomenclatures, why they exist and how they are built.
- Understand the difference between a nomenclature and a land cover/ land use map legend.
- Learn how to create a nomenclature for a remote-sensing derived map.
- MSc /PhD students
- Environmental consultants using remote sensing
- Anyone who creates land use/land cover or vegetation maps from remotely sensed data
Hardware and software requirements:
There are no special software requirements.
We will use Zoom for the interactive online course. There are 5 ways to join Zoom (and at least one of them should work for you!). We will give you more information about Zoom with the joining instructions and at the start of the event.
For the interactive online course, a second external screen will be an advantage (but is not essential). Having a webcam is desirable (but not essential). If you plan to participate from an open-plan office or noisy environment, please wear headphones with a built-in microphone.
The cost of accommodation is not included in the price of the in-person course
You may find this accommodation guide to UKCEH Wallingford helpful. (updated Sep 2022)
France Gerard, Senior Scientist, Earth Observation
France has over 25 years of experience in remote sensing of land and vegetation (and more recently surface water) in a wide range of ecosystems. Her work focuses on the development of remotely sensed-derived data to constrain and validate models, support process understanding and monitor vegetation. As part of her extensive experience with land cover mapping she has compared the nomenclatures of national maps.
Relevant links and key publications:
- UKCEH Land Cover® plus for Crops https://www.ceh.ac.uk/data/ceh-land-cover-plus-crops-2015
- A remote sensing based vegetation classification logic for global land cover analysis https://www.sciencedirect.com/science/article/pii/003442579400063S