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Identifying Marginal Lands in Europe and strengthening their contribution potentialities in a CO2 sequestration strategy

Deliverables

Guide on success stories for RS techniques and open source data / applications

Guide describing success stories when using RS techniques and open source data applications

Report on Augment precision

Report on augment precision

Report on Info days, Newsletters and dissemination activities: events participation, proceedings of the final conferences

Report and material disseminated through the infodays project newsletters and dissemination activities event participation proceedings of the final conferences

Midterm Meeting

Report detailing the Midterm meeting

Report Massive Online Open Course, and accompanying software system

Report describing the implemented massive online open course and the accompanying software

Report on Methodology development

Report describing the developed methodology

Report on Webpage and virtual classroom

Report describing the project webpage and the virtual classroom

Report on Collection of appropriate existing European/Global datasets

Detailed report focusing on the European / Global collected datasets

MLs classification in Carbon sequestration capacity groups

Report detailing the classification of Marginal Lands depending on their Carbon sequestration capacity

Literature review and existing models report

Report on existing methodologies, models, approaches and algorithms

Seminar/workshop implementation proceedings, and report on scientific publication / participations

Proceedings of the implemented seminarsworkshops and training activities and report describing the scientific publication and participation on scientific events

Report on Accuracy assessment

Report on the achieved accuracy

1st progress report

First progress report of the the project (financial, and technical)

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Publications

Machine learning applied to the classification of riverine species using UAV-based photogrammetric point clouds

Author(s): Carbonell Rivera Juan Pedro; Estornell Javier; Ruiz Luis A; Torralba Perez Jesus; Crespo Peremarch Pablo
Published in: 2021
Publisher: Zenodo
DOI: 10.5281/zenodo.6119920

Methodological proposal for the identification of marginal lands with remote sensing-derived products and ancillary data

Author(s): J. Torralba; Luis A. Ruiz; Charalampos Georgiadis; Petros Patias; Rodrigo Gómez-Conejo; Natalia Verde; Maria Tassapoulou; Fernando Bezares Sanfelip; Ewa Grommy; Sebastian Aleksandrowicz; Elke Krätzschmar; Michal Krupinski; Juan Pedro Carbonell-Rivera
Published in: 1, 2021
Publisher: CIGEO
DOI: 10.4995/cigeo2021.2021.12729

CLASSIFICATION OF UAV-BASED PHOTOGRAMMETRIC POINT CLOUDS OF RIVERINE SPECIES USING MACHINE LEARNING ALGORITHMS: A CASE STUDY IN THE PALANCIA RIVER, SPAIN

Author(s): J. P. Carbonell-Rivera, J. Estornell, L. A. Ruiz, J. Torralba, P. Crespo-Peremarch
Published in: ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B2-2020, 2020, Page(s) 659-666, ISSN 2194-9034
Publisher: The International Society for Photogrammetry and Remote Sensing
DOI: 10.5194/isprs-archives-XLIII-B2-2020-659-2020

A review of the use of remote sensing for monitoring and quantifying carbon sequestration in marginal lands

Author(s): Juan Pedro Carbonell-Rivera; Javier Estornell; Luis A. Ruiz; Alfonso Abad; Bettina Felten; J. Torralba
Published in: 2, 2021
Publisher: CIGEO
DOI: 10.4995/cigeo2021.2021.12694

Aboveground Biomass Estimation in Short Rotation Forest Plantations in Northern Greece Using ESA’s Sentinel Medium-High Resolution Multispectral and Radar Imaging Missions

Author(s): Nikos Theofanous, Irene Chrysafis, Giorgos Mallinis, Christos Domakinis, Natalia Verde, Sofia Siahalou
Published in: forests, 2021, ISSN 1999-4907
Publisher: MDPI Open Access Publishing
DOI: 10.3390/f12070902