What is the global stock take and how can we measure carbon emissions from space, what should you look for when selecting a land cover dataset, and how does land use policy impact our land and can these changes be seen and quantified using remote sensing methods? These and more questions will be answered in the sequence of lessons which are part the ‘People, Land, & Sustainability’ MOOC. This course deals with the transformation caused by humans across the globe and how we quantify these change with the means of earth observation.
In the next lessons, you will learn about the available land cover datasets, what to consider when using them, and how they can help you. You will learn the steps required to acquire carbon data and how to deal with inaccuracies, and why this is important on a national level. You will delve into the problem of land ownership in developing countries and how remote sensing data can be used to detect changes in land tenure and potential land grabbing. Further, you will gain a better understanding of the processes behind land degradation and how this can be monitored to be consequently reported as part of the United Nations Sustainable Development Goals.
In the hands-on component of these lessons, you will be doing the following:
- Land Cover Data & Uses: Create land cover maps for various applications including creating a discrete land cover map, for a forest monitoring application, and for land cover change monitoring.
- Land Degradation: Quantify extents of land degradation in the Free State, South Africa.
- Carbon Accounting: Estimate carbon emissions for an area in Tanzania.
- Land Ownership and Management: Use changes in land cover as an indicator for possible changes in land ownership in Brazil and Simbabwe.
Note: you do not have to take the lessons in any particular order.
If you are interested in more ‘Land in Focus’ courses, check out the availability below. The courses will be available in the future and will be released sequentially towards spring of 2022. These will provide you with theoretical knowledge and real-life case studies from disaster management, to land cover change analysis all the way to food security-related issues, that you can work with using the tools of remote sensing.