Open-Earth-Monitor Cyberinfrastructure

Informazioni relative al progetto

OEMC

ID dell’accordo di sovvenzione: 101059548

DOI

10.3030/101059548

Data della firma CE 1 Giugno 2022

Data di avvio 1 Giugno 2022

Data di completamento 31 Maggio 2026

Finanziato da

• Food, Bioeconomy Natural Resources, Agriculture and Environment

Costo totale

€ 13 780 154,06

Contributo UE

€ 12 720 045,00

Coordinato da

STICHTING OPENGEOHUB
Netherlands

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Websites, patent fillings, videos etc. (5)

"Summary of workshop ""Open-Earth-Monitor"" 2023"

Summary of the content presented and discussed in the workshop OpenEarthMonitor 2023 publicly available in the official website containing for example links to video recording presentations hackathon results and notebooksProduced by tasks T823Internal WP users WP12 WP8

"Report ""Status and prospect for European environmental data"" 1st version"

First version of the review and assessment for the existing European environmental data eg land use and land cover maps climate change indicators and prospect datasets relevant for the projectProduced by tasks T23Internal WP users WP28

Open-Earth-Monitor official website

Official website publicly available containing the partners stakeholders main components and scheduled events of the projectProduced by tasks T812Internal WP users WP28

"Summary of workshop ""Open-Earth-Monitor"" 2024"

"Summary of the content presented and discussed in the workshop Open-Earth-Monitor 2024 publicly available in the official website, containing for example links to video recording, presentations, hackathon results and notebooks.""Produced by task(s): T8.2-3Internal WP user(s): WP2-6"""

"Report ""Stakeholder committee and ""Open-Earth-Monitor design"" workshop"

Report describing the stakeholder committee composition and the design recommendations needs provided by them in a virtual workshopProduced by tasks T23Internal WP users WP28

Documents, reports (8)

"Report ""Economic assessment framework guidelines"" 1st version"

First version of OpenEarthMonitor economic assessment framework guidelines defining the standard concepts protocols classification schemes and accounting rules to support a holistic decisionmaking proces through a multipurpose and integrated view between economic and environmental aspectsProduced by tasks T21Internal WP users WP28

"Report ""FAIR operation, validation and analysis guidelines"" 1st version"

First version of OpenEarthMonitor FAIR guidelines defining data formats metadata standards communication protocols and implementation tools aligned with the DMP D13 Additionally this version is responsible for defining the validation and analysis strategies to ensure the implementation of FAIR principles in the projectProduced by tasks T22 T27Internal WP users WP18

"Report ""Economic assessment framework guidelines"" final version"

"Final and revised version of Open-Earth-Monitor economic assessment framework guidelines updated according to the stakeholders feedback.""Produced by task(s): T2.1Internal WP user(s): WP2-6"""

"Report ""User requirements and data gaps"" 1st version"

First version of user requirements considering the stakeholder committee needs D21 and the data gaps of the existing European environmental datasets D23Produced by tasks T21 T24Internal WP users WP28

"Report ""User requirements and data gaps"" final version"

"Final and revised version of user requirements considering the stakeholders feedback and data gaps of the existing European environmental datasets (D2.7).""Produced by task(s): T2.1, T2.4Internal WP user(s): WP2-6"""

"Report ""AI code of conduct and Open-Earth-Monitor harmonization guidelines"""

Report establishing the role the best practices and legal ethical implications of artificial intelligence AI solutions implemented in the project Additionally the report will provide harmonization guidelines for the outputs produced by these AI solutionsProduced by tasks T713Internal WP users WP12 WP8

"Report ""Feasibility and impact assessment"" 1st version"

First version of the feasibility and impact assessment for the OpenEarthMonitor tools D512 D612 considering the stakeholder committee needs D21 and the data gaps of the existing European environmental datasets D23 This version is responsible to identify the implementation risks the mitigation strategies and the metrics to monitor the impacts of the projectProduced by tasks T21 T26Internal WP users WP1 WP56 WP7

"Report ""Status and prospect for European environmental data"" final version"

"Final and revised version of the review and assessment for the existing European environmental data (e.g. land use and land cover maps, climate change indicators) and prospect datasets relevant for the project.""Produced by task(s): T2.3Internal WP user(s): WP1, WP5-6"""

Other (2)

EU in-situ data tool

"Front-end solution to access all the integrated European in-situ environmental data (D4.2) through public website.""Produced by task(s): T5.2Internal WP user(s): WP2-3, WP5-6"""

Implementation plan and general strategy for in-situ data

"Implementation plan with the inventory, prioritization, analysis of gaps, and general strategy to integrate the existing in-situ environmental data (e.g. soil, forest biomass, marine / terrestrial biodiversity, landscape diversity, ocean / seas / coastal waters, land cover and land use) at European and global scale.""Produced by task(s): T4.1-9Internal WP user(s): WP1, WP5-6, WP7"""

Pubblicazioni

Other (7)

Crop-Type Recognition in Street-level Images with Convolutional Neural Networks

Autori: Fernando Orduna-cabrera , Marcial Sandoval-Gastelum , Ian MCCALLUM , Linda SEE, Steffen Fritz , Santosh Karanam , Tobias Sturn , Valeria Javalera-Rincon , F. Fernando González-Navarro
Pubblicato in: 2023
Editore: Preprints
DOI: 10.20944/preprints202307.0724.v1

Ways forward for Machine Learning to make useful global environmental datasets from legacy observations and measurements

Autori: Nature Communications
Pubblicato in: NATURE COMMUNICATIONS, Numero 13, 2022
Editore: Nature Communications
DOI: 10.1038/s41467-022-32693-3

AI technology: what it is and what it’s not, and how it can (potentially) help us solve the climate crisis

Autori: Hengl, T., Consoli, D., Bagić, M., Brocca, L., & Herold, M. (2023). “AI technology: what it is and what it’s not, and how it can (potentially) help us solve the climate crisis” (v0.1). OpenGeoHub foundation. Published in MLearning.ai;
Pubblicato in: 2023
Editore: Publisher
DOI: 10.5281/ZENODO.8300534

Forest restoration challenges in Brazilian Amazonia

Autori: Camara; Simoes; Ruivo; Andrade; Soterroni; Ramos; Ramos; Scarabello; Almeida; Sanches; Maurano; Coutinho; Esquerdo; Antunes; Venturieri; Adami
Pubblicato in: NO, 2023
Editore: Zenodo
DOI: 10.5281/zenodo.7658038

Innovative governance, environmental observations and digital solutions in support of the European Green Deal - Open-Earth-Monitor public workshop 2022

Autori: OpenGeoHub
Pubblicato in: Innovative governance, environmental observations and digital solutions in support of the European Green Deal - Open-Earth-Monitor public workshop 2022, 2022
Editore: TIB
DOI: 10.5446/s_1292

Annual time series of global VIIRS nighttime lights for 2000-2021 at 500-m spatial resolution extrapolated using logistic regression

Autori: Tom Hengl
Pubblicato in: Open-Earth-Monitor Cyberinfrastructure project, 2023
Editore: Zenodo
DOI: 10.5281/zenodo.7750174

High frequency land cover classification method for supporting global monitoring

Autori: Dainius Masiliūnas, Diego Marcos, Nandin-Erdene Tsendbazar, Martin Herold, Jan Verbesselt
Pubblicato in: 2022
Editore: Zenodo
DOI: 10.5281/ZENODO.8310036

Peer reviewed articles (35)

Paddy rice methane emissions across Monsoon Asia

Autori: Zutao Ouyang, Robert B. Jackson, Gavin McNicol, Etienne Fluet-Chouinard, Benjamin R.K. Runkle, Dario Papale, Sara H. Knox, Sarah Cooley, Kyle B. Delwiche, Sarah Feron, Jeremy Andrew Irvin, Avni Malhotra, Muhammad Muddasir, Simone Sabbatini, Ma. Carmelita
Pubblicato in: Remote Sensing of Environment, 2023, ISSN 0034-4257
Editore: Elsevier
DOI: 10.1016/j.rse.2022.113335

Land potential assessment and trend-analysis using 2000–2021 FAPAR monthly time-series at 250 m spatial resolution

Autori: Hackländer, J., Parente, L., Ho, Y.-F., Hengl, T., Simoes, R., Consoli, D., Şahin, M., Tian, X., Herold, M., Jung, M., Duveiller, G., Weynants, M., Wheeler, I., (2023?) “Land potential assessment and trend-analysis using 2000–2021 FAPAR monthly time-serie
Pubblicato in: PeerJ Inc., 2024, ISSN 2167-8359
Editore: Corte Madera CA: PeerJ Inc.
DOI: 10.21203/rs.3.rs-3415685/v1

G-reqs, a New Model Proposal for Capturing and Managing In Situ Data Requirements: First Results in the Context of the Group on Earth Observations

Autori: Joan Maso, Alba Brobia, Marie-Francoise Voidrot, Alaitz Zabala and Ivette Serral
Pubblicato in: Remote Sensing, 2023, ISSN 2072-4292
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs15061589

AmeriFlux BASE data pipeline to support network growth and data sharing

Autori: Housen Chu, Danielle S. Christianson, You-Wei Cheah, Gilberto Pastorello, Fianna O’Brien, Joshua Geden, Sy-Toan Ngo, Rachel Hollowgrass, Karla Leibowitz, Norman F. Beekwilder, Megha Sandesh, Sigrid Dengel, Stephen W. Chan, André Santos, Kyle Delwiche, Koo
Pubblicato in: Scientific Data, 2023, ISSN 2052-4463
Editore: Nature Portfolio
DOI: 10.1038/s41597-023-02531-2

PeerJ

Autori: Ho Y, Grohmann CH, Lindsay J, Reuter HI, Parente L, Witjes M, Hengl T.
Pubblicato in: PeerJ, Numero 13, 2025, ISSN 2167-8359
Editore: PeerJ
DOI: 10.7717/PEERJ.19673

SM2RAIN-Climate, a monthly global long-term rainfall dataset for climatological studies

Autori: Hamidreza Mosaffa, Paolo Filippucci, Christian Massari, Luca Ciabatta, Luca Brocca
Pubblicato in: Scientific Data, 2023, ISSN 2052-4463
Editore: Nature Portfolio
DOI: 10.1038/s41597-023-02654-6

A Simply Updatable Cloud-based Ensemble Digital Terrain Model

Autori: Yu-Feng HO; Tomislav Hengl; Leandro Parente
Pubblicato in: GEOMORPHOMETRY IASI ROMANIA, 2023
Editore: Zenodo
DOI: 10.5281/zenodo.7877510

Environmental Research Letters

Autori: Johannes Reiche Johannes Balling, Amy Hudson Pickens, Robert N Masolele, Anika Berger, Mikaela J Weisse, Daniel Mannarino, Yaqing Gou, Bart Slagter, Gennadii Donchyts
Pubblicato in: Environmental Research Letters, 2024, ISSN 1748-9326
Editore: Institute of Physics Publishing
DOI: 10.1088/1748-9326/ad2d82

Using high-resolution imagery and deep learning to classify land-use following deforestation: a case study in Ethiopia

Autori: Robert N. Masolele; Veronique De Sy; Diego Marcos; Jan Verbesselt; Fabian Gieseke; Kalkidan Ayele Mulatu; Yitebitu Moges; Heiru Sebrala; Christopher Martius; Martin Herold
Pubblicato in: GIScience & Remote Sensing, 2022, ISSN 1548-1603
Editore: V.H. Winston and Sons, Inc.
DOI: 10.1080/15481603.2022.2115619

A harmonized Landsat Sentinel-2 (HLS) dataset for benchmarking time series reconstruction methods of vegetation indices

Autori: Consoli, D., Leal Parente, L., Witjes, M., & Hengl, T. (2023). A harmonized Landsat Sentinel-2 (HLS) dataset for benchmarking time series reconstruction methods of vegetation indices (Version 1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.8119407
Pubblicato in: WAGENINGEN UNIVERSITY AND RESEARCH, 2023
Editore: Zenodo
DOI: 10.5281/zenodo.8119406

Exploring characteristics of national forest inventories for integration with global space-based forest biomass data

Autori: Karimon Nesha; Martin Herold; Veronique De Sy; Sytze de Bruin; Arnan Araza; Natalia Málaga; Javier G.P. Gamarra; Kristell Hergoualc'h; Anssi Pekkarinen; Carla Ramirez; David Morales-Hidalgo; Rebecca Tavani
Pubblicato in: Science of the total Environment, 2022, ISSN 0048-9697
Editore: Elsevier BV
DOI: 10.1016/j.scitotenv.2022.157788

Comparing ground below-canopy and satellite spectral data for an improved and integrated forest phenology monitoring system

Autori: Vaglio Laurin, G., Cotrina-Sanchez, A., Belelli-Marchesini, L., Tomelleri, E., Battipaglia, G., Cocozza, C., Niccoli, F., Kabala, J. P., Gianelle, D., Vescovo, L., Da Ros, L., & Valentini, R. (2024). Comparing ground below-canopy and satellite spectral da
Pubblicato in: Ecological Indicators, 2023, ISSN 1872-7034
Editore: Elsevier Ltd
DOI: 10.1016/j.ecolind.2023.111328

EcoDataCube.eu: Analysis-ready open environmental data cube for Europe

Autori: Witjes, M., Parente, L. L., Krizan, J., Antonic, L., & Hengl, T. (2022). EcoDataCube. eu: Analysis-ready open environmental data cube for Europe. PeerJ, in review.
Pubblicato in: RESEARCH SQUARE, 2023
Editore: Research Square
DOI: 10.21203/rs.3.rs-2277090/v1

How textural features can improve SAR-based tropical forest disturbance mapping

Autori: Balling, J., Herold, M., Reiche, J.
Pubblicato in: International Journal of Applied Earth Observation and Geoinformation, 2023, ISSN 1569-8432
Editore: Elsevier
DOI: 10.1016/j.jag.2023.103492

The contributions of citizen science to the United Nations sustainable development goals and other international agreements and frameworks

Autori: Fraisl, Dilek, See, Linda, Campbell, Jillian, Danielsen, Finn and Andrianandrasana, Herizo T.
Pubblicato in: Citizen Science: Theory and Practice, Numero 8, 2023, ISSN 2057-4991
Editore: Ubiquity Press
DOI: 10.5334/cstp.643

Integrated global assessment of the natural forest carbon potential

Autori: Lidong Mo, Constantin M Zohner, Peter B Reich, Jingjing Liang, Sergio De Miguel, Gert-Jan Nabuurs, Susanne S Renner, Johan van den Hoogen, Arnan Araza, Martin Herold, et al.
Pubblicato in: Nature, 2023, ISSN 1476-4687
Editore: Springer Nature
DOI: 10.1038/s41586-023-06723-z

Multi-decadal trend analysis and forest disturbance assessment of European tree species: concerning signs of a subtle shift

Autori: Carmelo Bonannella, Leandro Parente, Sytze de Bruin, Martin Herold
Pubblicato in: Forest Ecology and Management, Numero 554, 2024
Editore: ELSEVIER
DOI: 10.21203/rs.3.rs-3288937/v1

Biomes of the world under climate change scenarios: increasing aridity and higher temperatures lead to significant shifts in natural vegetation

Autori: Carmelo Bonannella​, Tomislav Hengl, Leandro Parente, Sytze de Bruin
Pubblicato in: PeerJ, 2023, ISSN 2167-8359
Editore: Corte Madera CA: PeerJ Inc.
DOI: 10.7717/PEERJ.15593

Investigating the Use of Street-Level Imagery and Deep Learning to Produce In-Situ Crop Type Information

Autori: Fernando Orduna-cabrera , Marcial Sandoval-Gastelum , Ian MCCALLUM , Linda SEE, Steffen Fritz , Santosh Karanam , Tobias Sturn , Valeria Javalera-Rincon , F. Fernando González-Navarro
Pubblicato in: Geographies, 2023, ISSN 2673-7086
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/GEOGRAPHIES3030029

Spatial predictions and uncertainties of forest carbon fluxes for carbon accounting

Autori: Arnan Araza, Sytze de Bruin, Lars Hein & Martin Herold
Pubblicato in: Scientific Reports, 2023, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-023-38935-8

StrucNet: a global network for automated vegetation structure monitoring

Autori: Kim Calders, Benjamin Brede, Glenn Newnham, Darius Culvenor, John Armston, Harm Bartholomeus, Anne Griebel, Jodie Hayward, Samuli Junttila, Alvaro Lau, Shaun Levick, Rosalinda Morrone, Niall Origo, Marion Pfeifer, Jan Verbesselt, Martin Herold
Pubblicato in: Remote Sensing in Ecology and Conservation, Numero 5, 2023, ISSN 2056-3485
Editore: Wiley and the Zoological Society of London
DOI: 10.1002/rse2.333

OpenEOcubes; an open-source and lightweight R-based RESTful web service for analyzing earth observation data cubes

Autori: Brian Pondi, Marius Appel, Edzer Pebesma
Pubblicato in: Earth Science Informatics, 2024, ISSN 1865-0481
Editore: Springer Nature
DOI: 10.1007/s12145-024-01249-y

Building a community-based open harmonised reference data repository for global crop mapping

Autori: Hendrik Boogaard; Arun Kumar Pratihast; Juan Carlos Laso Bayas; Santosh Karanam; Steffen Fritz; Kristof Van Tricht; Jeroen Degerickx; Sven Gilliams
Pubblicato in: PLOS ONE, 2023, ISSN 1932-6203
Editore: Public Library of Science
DOI: 10.1371/journal.pone.0287731

Precision of subnational forest AGB estimates within the Peruvian Amazonia using a global biomass map

Autori: Natalia Málaga; Sytze de Bruin; Ronald E. McRoberts; Alexs Arana Olivos; Ricardo de la Cruz Paiva; Patricia Durán Montesinos; Daniela Requena Suarez; Martin Herold
Pubblicato in: International Journal of Applied Earth Observation and Geoinformation 115 (2022), 2022, ISSN 1569-8432
Editore: Elsevier BV
DOI: 10.1016/J.JAG.2022.103102

Monitoring direct drivers of small-scale tropical forest disturbance in near real-time with Sentinel-1 and -2 data

Autori: Bart Slagter, Johannes Reiche, Diego Marcos, Adugna Mullissa, Etse Lossou, Marielos Peña-Claros, Martin Herold
Pubblicato in: Remote Sensing of Environment, 2023, ISSN 0034-4257
Editore: Elsevier
DOI: 10.1016/J.RSE.2023.113655

Deep learning and automatic reference label harvesting for Sentinel-1 SAR-based rapid tropical dry forest disturbance mapping

Autori: Adugna Mullissa, Johannes Reiche, Martin Herold
Pubblicato in: Remote Sensing of Environment, 2023, ISSN 0034-4257
Editore: Elsevier BV
DOI: 10.1016/j.rse.2023.113799

Challenges to Achieving the Commitments of Brazil’s NDC in the Amazon Biome

Autori: Câmara, G., Simões, R., M. Ruivo, H., R. Andrade, P., Scarabello, M. ., Costa, W. ., Ramos, R., Ramos, F., Almeida, . C., Sanches, I., Adami, M., Maurano, L., Soterroni, A., Coutinho, A., Esquerdo, J., Antunes, J., & Venturieri, A.
Pubblicato in: CEBRI Journal, 2022, ISSN 2764-7897
Editore: CEBRI Journal
DOI: 10.54827/ISSN2764-7897.CEBRI2022.04.03.06.159-177.PT

"A widely-used eddy covariance gap-filling method creates systematic bias in carbon balance estimates"

Autori: Henriikka Vekuri, Juha-Pekka Tuovinen, Liisa Kulmala, Dario Papale, Pasi Kolari, Mika Aurela, Tuomas Laurila, Jari Liski & Annalea Lohila
Pubblicato in: Scientific Report, Numero 13, 2023, ISSN 2045-2322
Editore: Nature Portfolio
DOI: 10.1038/s41598-023-28827-2

Toward a forest biomass reference measurement system for remote sensing applications

Autori: Nicolas Labrière, Stuart J. Davies, Mathias I. Disney, Laura I. Duncanson, Martin Herold, Simon L. Lewis, Oliver L. Phillips, Shaun Quegan, Sassan S. Saatchi, Dmitry G. Schepaschenko, Klaus Scipal, Plinio Sist, Jérôme Chave
Pubblicato in: Global Change Biology, 2022, ISSN 1365-2486
Editore: Wiley-Blackwell
DOI: 10.1111/GCB.16497

"Impact of land tenure on deforestation control and forest restoration in Brazilian Amazonia"

Autori: Gilberto Camara4, Rolf Simoes, Heloisa M Ruivo, Pedro R Andrade, Aline C Soterroni, Fernando M Ramos, Rafael G Ramos, Marluce Scarabello, Claudio Almeida, Ieda Sanches
Pubblicato in: Environmental Research Letters, Numero 18, 2023, ISSN 1748-9326
Editore: IOP Publishing
DOI: 10.1088/1748-9326/acd20a

Storm Daniel revealed the fragility of the Mediterranean region

Autori: Junliang Qiu, Wei Zhao, Luca Brocca, Paolo Tarolli
Pubblicato in: The Innovation Geoscience, 2023, ISSN 2959-8753
Editore: Cell Press
DOI: 10.59717/j.xinn-geo.2023.100036

A pre-whitening with block-bootstrap cross-correlation procedure for temporal alignment of data sampled by eddy covariance systems

Autori: Vitale Domenico, Fratini Gerardo, Helfter Carol, Hortnagl Lukas, Kohonen Kukka-Maaria, Mammarella Ivan, Nemitz Eiko, Nicolini Giacomo, Rebmann Corinna, Sabbatini Simone & Papale Dario
Pubblicato in: Environmental and Ecological Statistics, 2024, ISSN 1573-3009
Editore: Springer Nature
DOI: 10.1007/s10651-024-00615-9

Past decade above-ground biomass change comparisons from four multi-temporal global maps

Autori: Arnan Araza, Martin Herold, Sytze de Bruin, Philippe Ciais, David A. Gibbs, Nancy Harris, Maurizio Santoro, Jean-Pierre Wigneron, Hui Yang, Natalia Mála, Karimon Nesha, Pedro Rodriguez-Veiga, Olga Brovkina, Hugh C.A. Brow
Pubblicato in: Remote Sensing of Environment, 2023, ISSN 0034-4257
Editore: Elsevier BV
DOI: 10.1016/J.JAG.2023.103274

Earth Observation and Machine Learning as the key technologies to track implementation of the Green Deal: 10 main takeaways

Autori: Hengl, T.; Ross, C.; Delconte, V.
Pubblicato in: OPEN EARTH MONITOR, 2022
Editore: Zenodo
DOI: 10.5281/zenodo.7118980

A Downsampling Method Addressing the Modifiable Areal Unit Problem in Remote Sensing

Autori: Andrei Mîrț; Johannes Reiche; Jan Verbesselt; Martin Herold
Pubblicato in: Remote Sensing 14 (2022) 21, 2022, ISSN 2072-4292
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs14215538

Conference proceedings (2)

Open-Earth-Monitor: a cyberinfrastructure bringing together key open source developers in Europe

Autori: Hengl, Tomislav
Pubblicato in: Open-Earth-Monitor, 2023
Editore: Zenodo
DOI: 10.5281/zenodo.7576771

High-precision datasets from monitoring stations based on eddy covariance measurements: what six years of quality evaluation process of ICOS ecosystem stations have to tell

Autori: Sabbatini, S., Nicolini, G., Gielen, B., Op de Beeck, M., Michilsens, F., Iserbyt, A., Loustau, D., Lafont, S., Loubet, B., Canfora, E., Polidori, D., Ribeca, A., and Papale, D.
Pubblicato in: EGU General Assembly 2023, Vienna, Austria, Numero EGU23-16343, 2023
Editore: European Geosciences Union
DOI: 10.5194/egusphere-egu23-16343