MOOC registration is open!
Do you want to know what Marginal Lands (MLs) are?
Are you interested in applying the latest remote sensing techniques?
In this MOOC, you will 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; and (5) an introduction to the MLs management application created in GEE in the framework of the project.
During the course, we will give you some recommendations for manipulating large datasets, and we will teach you how to work with the Mail Geoportal application as a user. All this with the aim 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.
Marie Sklodowska-Curie Actions Staff Exchanges
The MaiL project organized its Final Conference, hosted by the
Aristotle University of Thessaloniki, on the 13th of December 2021. The
objective of the event is to address different topics which are linked
to the project activities and to disseminate its final results.
1 Welcome introduction to MAIL project
3.1 Marginal land definition and existing datasets
3.2 Marginal land definition and existing datasets
4.1 Detection of marginal lands and accuracy assessment
4.2 Detection of marginal lands and accuracy assessment
5 Augmenting precision for marginal land definition
6 Existing models considering local aspects
7 Estimation of biomass volume at low productivity msm MLs
8.1 MLs classification in Carbon sequestration capacity groups
8.2 MLs classification in Carbon sequestration capacity groups
9.1 Web application for ML’s management
9.2 Web application for ML’s management
10 MAIL MOOC and virtual classroom
11 Use of open source platforms and free satellite data to map and monitor MLs
12 Quantification of carbon sequestration capacity in msm MLs
13 Estimation of carbon stock in forest products
14 Change detection and mapping in forest MLs
15 Financial social and technical aspects of the sustainable development of MLs
16 Potentialities of emerging stock exchange markets for carbon transactions and proposed policies
17 Success stories and Guidelines of ML management