Bringing Earth Observation Services for Monitoring Dynamic Forest Disturbances to the Users EOMonDis

Informations projet

EOMonDis

N° de convention de subvention: 685761

DOI

10.3030/685761

Projet clôturé

Date de signature de la CE 23 Octobre 2015

Date de début 1 Février 2016

Date de fin 31 Juillet 2019

Financé au titre de

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies – Space

Coût total

€ 2 528 139,75

Contribution de l’UE

€ 1 969 106,00

Coordonné par

GAF AG
Germany

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Documents, reports (12)

Customisation Report

See work package description.

Technical Design Document

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Agenda and Minutes Technical Review Meeting 12

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Requirement Baseline Document

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Standard Operations Reports Phase 1

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Dissemination Plan Phase 2

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Technical Note on the Service Platform

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Agenda and Minutes Technical Review Meeting 36

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Agenda and Minutes Technical Review Meeting 24

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Validation Report Ver. 1

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Validation Report Ver. 2

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Dissemination Plan Phase 1

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Demonstrators, pilots, prototypes (6)

Service platform update

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Prototype of a Service Platform

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Maps and Data Phase 2

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Data and Maps for the Prototype Test Areas Phase 2

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Data and Maps for the Prototype Test Areas Phase 1

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Maps and Data Phase 1

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Websites, patent fillings, videos etc. (2)

Project Website Phase 1

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Project Website Phase 2

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Publications

Peer reviewed articles (4)

An above-ground biomass map of African savannahs and woodlands at 25 m resolution derived from ALOS PALSAR

Auteurs: Alexandre Bouvet, Stéphane Mermoz, Thuy Le Toan, Ludovic Villard, Renaud Mathieu, Laven Naidoo, Gregory P. Asner
Publié dans: Remote Sensing of Environment, Numéro 206, 2018, Page(s) 156-173, ISSN 0034-4257
Éditeur: Elsevier BV
DOI: 10.1016/j.rse.2017.12.030

Use of the SAR Shadowing Effect for Deforestation Detection with Sentinel-1 Time Series

Auteurs: Alexandre Bouvet, Stéphane Mermoz, Marie Ballère, Thierry Koleck, Thuy Le Toan
Publié dans: Remote Sensing, Numéro 10/8, 2018, Page(s) 1250, ISSN 2072-4292
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs10081250

Methods for Mapping Forest Disturbance and Degradation from Optical Earth Observation Data: a Review

Auteurs: Manuela Hirschmugl, Heinz Gallaun, Matthias Dees, Pawan Datta, Janik Deutscher, Nikos Koutsias, Mathias Schardt
Publié dans: Current Forestry Reports, 2017, ISSN 2198-6436
Éditeur: Springer International Publishing
DOI: 10.1007/s40725-017-0047-2

Combined Use of Optical and Synthetic Aperture Radar Data for REDD+ Applications in Malawi

Auteurs: M. Hirschmugl, C. Sobe, J. Deutscher, M. Schardt
Publié dans: Land, Numéro 7, 2018, Page(s) 116, ISSN 2073-445X
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/land7040116

Conference proceedings (3)

Bringing Earth Observation Services for Monitoring Dynamic Forest Disturbances to the Users – EOMonDis

Auteurs: F.Enßle, T. Haeusler, S. Gomez, C. Storch, M. Pape, H. Ott, T. Wagner, G. Ramminger
Publié dans: Proceedings Book 7th edition of the International Scientifi c Conference ForestSAT 2016, Numéro 7th edition, 2016, Page(s) 209 - 215, ISBN 978-956-7459-49-0
Éditeur: Universidad Mayor

Satellite Based Monitoring of Forest Resources Compliant with REDD+ and Zero Deforestation

Auteurs: Hauesler, T., Enßle, F., Gomez, S.
Publié dans: Annual World Bank Conference on Land and Poverty, Numéro 2017, 2017, Page(s) na
Éditeur: na

Combined use of SAR and optical time series data for near real-time forest disturbance mapping

Auteurs: Manuela Hirschmugl, Janik Deutscher, Karl-Heinz Gutjahr, Carina Sobe, Mathias Schardt
Publié dans: 2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp), 2017, Page(s) 1-4, ISBN 978-1-5386-3327-4
Éditeur: IEEE
DOI: 10.1109/multi-temp.2017.8035208

Other (1)

Near-real time forest disturbance detection using Sentinel-1 time series

Auteurs: S. MERMOZ, A. BOUVET, T. LE TOAN, T. KOLECK, L. VILLARD
Publié dans: Presentation for the ISRSE Conference, 2017
Éditeur: NA