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UPValenciaX: Management of Marginal Lands and Carbon Sequestration estimation through Remote Sensing and GIS

In this MOOC, you will be able to better understand the concept of MLs and will be able to analyze large MLs extensions in a fast way.

Management of Marginal Lands and Carbon Sequestration estimation through Remote Sensing and GIS
5 weeks
3–4 hours per week
Self-paced
Progress at your own speed
Free
Optional upgrade available

There is one session available:

After a course session ends, it will be archivedOpens in a new tab.
Starts Apr 19
Ends Jun 17

About this course

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The aim of this course is that you will be able to better understand the concept of MLs and will be able to analyze large MLs extensions in a fast way. During the course, we will give you some recommendations for the manipulation of large datasets and we will teach you how to work with the MaiL Geoportal as a user. Within the course, you will have questions for self-evaluation after each video, weekly practice and a exam at the end of each unit.

The mechanics of the course are simple: follow the learning sequences proposed by the platform by watching the videos and asking the questions and activities that are proposed. In some cases, you will find optional readings that you can read to expand on the subject.

This course is designed in 5 units in which it is expected to transfer the results of the European project “Identifying Marginal Lands in Europe and strengthening their contribution potentialities in a CO2 sequestration strategy (MAIL)”. Project under the European Union's Horizon 2020 Marie Skłodowska-Curie research and innovation program (Grant Agreement No. 823805). All videos are based on the procedures followed in the MAIL project for Europe, which means that some of the procedures described may not be exactly transferable to other parts of the world.

At a glance

  • Institution: UPValenciaX
  • Subject: Data Analysis & Statistics
  • Level: Intermediate
  • Prerequisites:

    The course is targeted to students, researchers, or stakeholders who are interested in the analysis and management of Marginal Lands (MLs). No prerrequisites are needed but some basic notions of remote sensing and GIS would be helpful.

  • Language: English
  • Video Transcript: English

What you'll learn

Skip What you'll learn
  1. The definition of MLs
  2. A methodological proposal for the identification and classification of MLs
  3. A short review of forest biomass estimation with optical sensors, RADAR and LiDAR
  4. A proposal of carbon calculation
  5. An introduction to the MLs management application created in GEE in the framework of the project.
  1. Week 1: Definition & descriptions of MLs.
  2. Week 2: Identification & classification of MLs.
  3. Week 3: Biomass estimation from remote sensing data.
  4. Week 4: Carbon storage and accounting.
  5. Week 5: GEE based platform for MLs management.

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