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CORDIS - Resultados de investigaciones de la UE
CORDIS

Open-Earth-Monitor Cyberinfrastructure

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

"Summary of workshop ""Open-Earth-Monitor"" 2023" (se abrirá en una nueva ventana)

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" (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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" (se abrirá en una nueva ventana)

"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" (se abrirá en una nueva ventana)

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

"Report ""Economic assessment framework guidelines"" 1st version" (se abrirá en una nueva ventana)

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" (se abrirá en una nueva ventana)

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" (se abrirá en una nueva ventana)

"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" (se abrirá en una nueva ventana)

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" (se abrirá en una nueva ventana)

"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""" (se abrirá en una nueva ventana)

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" (se abrirá en una nueva ventana)

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" (se abrirá en una nueva ventana)

"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"""

EU in-situ data tool (se abrirá en una nueva ventana)

"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 (se abrirá en una nueva ventana)

"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"""

Publicaciones

Crop-Type Recognition in Street-level Images with Convolutional Neural Networks (se abrirá en una nueva ventana)

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

Ways forward for Machine Learning to make useful global environmental datasets from legacy observations and measurements (se abrirá en una nueva ventana)

Autores: Nature Communications
Publicado en: NATURE COMMUNICATIONS, Edición 13, 2022
Editor: 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 (se abrirá en una nueva ventana)

Autores: 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;
Publicado en: 2023
Editor: Publisher
DOI: 10.5281/ZENODO.8300534

Forest restoration challenges in Brazilian Amazonia (se abrirá en una nueva ventana)

Autores: Camara; Simoes; Ruivo; Andrade; Soterroni; Ramos; Ramos; Scarabello; Almeida; Sanches; Maurano; Coutinho; Esquerdo; Antunes; Venturieri; Adami
Publicado en: NO, 2023
Editor: 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 (se abrirá en una nueva ventana)

Autores: OpenGeoHub
Publicado en: Innovative governance, environmental observations and digital solutions in support of the European Green Deal - Open-Earth-Monitor public workshop 2022, 2022
Editor: 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 (se abrirá en una nueva ventana)

Autores: Tom Hengl
Publicado en: Open-Earth-Monitor Cyberinfrastructure project, 2023
Editor: Zenodo
DOI: 10.5281/zenodo.7750174

High frequency land cover classification method for supporting global monitoring (se abrirá en una nueva ventana)

Autores: Dainius Masiliūnas, Diego Marcos, Nandin-Erdene Tsendbazar, Martin Herold, Jan Verbesselt
Publicado en: 2022
Editor: Zenodo
DOI: 10.5281/ZENODO.8310036

Paddy rice methane emissions across Monsoon Asia (se abrirá en una nueva ventana)

Autores: 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
Publicado en: Remote Sensing of Environment, 2023, ISSN 0034-4257
Editor: 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 (se abrirá en una nueva ventana)

Autores: 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
Publicado en: PeerJ Inc., 2024, ISSN 2167-8359
Editor: 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 (se abrirá en una nueva ventana)

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

AmeriFlux BASE data pipeline to support network growth and data sharing (se abrirá en una nueva ventana)

Autores: 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
Publicado en: Scientific Data, 2023, ISSN 2052-4463
Editor: Nature Portfolio
DOI: 10.1038/s41597-023-02531-2

PeerJ (se abrirá en una nueva ventana)

Autores: Ho Y, Grohmann CH, Lindsay J, Reuter HI, Parente L, Witjes M, Hengl T.
Publicado en: PeerJ, Edición 13, 2025, ISSN 2167-8359
Editor: PeerJ
DOI: 10.7717/PEERJ.19673

SM2RAIN-Climate, a monthly global long-term rainfall dataset for climatological studies (se abrirá en una nueva ventana)

Autores: Hamidreza Mosaffa, Paolo Filippucci, Christian Massari, Luca Ciabatta, Luca Brocca
Publicado en: Scientific Data, 2023, ISSN 2052-4463
Editor: Nature Portfolio
DOI: 10.1038/s41597-023-02654-6

A Simply Updatable Cloud-based Ensemble Digital Terrain Model (se abrirá en una nueva ventana)

Autores: Yu-Feng HO; Tomislav Hengl; Leandro Parente
Publicado en: GEOMORPHOMETRY IASI ROMANIA, 2023
Editor: Zenodo
DOI: 10.5281/zenodo.7877510

Environmental Research Letters (se abrirá en una nueva ventana)

Autores: Johannes Reiche Johannes Balling, Amy Hudson Pickens, Robert N Masolele, Anika Berger, Mikaela J Weisse, Daniel Mannarino, Yaqing Gou, Bart Slagter, Gennadii Donchyts
Publicado en: Environmental Research Letters, 2024, ISSN 1748-9326
Editor: 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 (se abrirá en una nueva ventana)

Autores: Robert N. Masolele; Veronique De Sy; Diego Marcos; Jan Verbesselt; Fabian Gieseke; Kalkidan Ayele Mulatu; Yitebitu Moges; Heiru Sebrala; Christopher Martius; Martin Herold
Publicado en: GIScience & Remote Sensing, 2022, ISSN 1548-1603
Editor: 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 (se abrirá en una nueva ventana)

Autores: 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
Publicado en: WAGENINGEN UNIVERSITY AND RESEARCH, 2023
Editor: Zenodo
DOI: 10.5281/zenodo.8119406

Exploring characteristics of national forest inventories for integration with global space-based forest biomass data (se abrirá en una nueva ventana)

Autores: 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
Publicado en: Science of the total Environment, 2022, ISSN 0048-9697
Editor: 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 (se abrirá en una nueva ventana)

Autores: 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
Publicado en: Ecological Indicators, 2023, ISSN 1872-7034
Editor: Elsevier Ltd
DOI: 10.1016/j.ecolind.2023.111328

EcoDataCube.eu: Analysis-ready open environmental data cube for Europe (se abrirá en una nueva ventana)

Autores: 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.
Publicado en: RESEARCH SQUARE, 2023
Editor: Research Square
DOI: 10.21203/rs.3.rs-2277090/v1

How textural features can improve SAR-based tropical forest disturbance mapping (se abrirá en una nueva ventana)

Autores: Balling, J., Herold, M., Reiche, J.
Publicado en: International Journal of Applied Earth Observation and Geoinformation, 2023, ISSN 1569-8432
Editor: 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 (se abrirá en una nueva ventana)

Autores: Fraisl, Dilek, See, Linda, Campbell, Jillian, Danielsen, Finn and Andrianandrasana, Herizo T.
Publicado en: Citizen Science: Theory and Practice, Edición 8, 2023, ISSN 2057-4991
Editor: Ubiquity Press
DOI: 10.5334/cstp.643

Integrated global assessment of the natural forest carbon potential (se abrirá en una nueva ventana)

Autores: 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.
Publicado en: Nature, 2023, ISSN 1476-4687
Editor: 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 (se abrirá en una nueva ventana)

Autores: Carmelo Bonannella, Leandro Parente, Sytze de Bruin, Martin Herold
Publicado en: Forest Ecology and Management, Edición 554, 2024
Editor: 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 (se abrirá en una nueva ventana)

Autores: Carmelo Bonannella​, Tomislav Hengl, Leandro Parente, Sytze de Bruin
Publicado en: PeerJ, 2023, ISSN 2167-8359
Editor: 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 (se abrirá en una nueva ventana)

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

Spatial predictions and uncertainties of forest carbon fluxes for carbon accounting (se abrirá en una nueva ventana)

Autores: Arnan Araza, Sytze de Bruin, Lars Hein & Martin Herold
Publicado en: Scientific Reports, 2023, ISSN 2045-2322
Editor: Nature Publishing Group
DOI: 10.1038/s41598-023-38935-8

StrucNet: a global network for automated vegetation structure monitoring (se abrirá en una nueva ventana)

Autores: 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
Publicado en: Remote Sensing in Ecology and Conservation, Edición 5, 2023, ISSN 2056-3485
Editor: 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 (se abrirá en una nueva ventana)

Autores: Brian Pondi, Marius Appel, Edzer Pebesma
Publicado en: Earth Science Informatics, 2024, ISSN 1865-0481
Editor: Springer Nature
DOI: 10.1007/s12145-024-01249-y

Building a community-based open harmonised reference data repository for global crop mapping (se abrirá en una nueva ventana)

Autores: Hendrik Boogaard; Arun Kumar Pratihast; Juan Carlos Laso Bayas; Santosh Karanam; Steffen Fritz; Kristof Van Tricht; Jeroen Degerickx; Sven Gilliams
Publicado en: PLOS ONE, 2023, ISSN 1932-6203
Editor: 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 (se abrirá en una nueva ventana)

Autores: Natalia Málaga; Sytze de Bruin; Ronald E. McRoberts; Alexs Arana Olivos; Ricardo de la Cruz Paiva; Patricia Durán Montesinos; Daniela Requena Suarez; Martin Herold
Publicado en: International Journal of Applied Earth Observation and Geoinformation 115 (2022), 2022, ISSN 1569-8432
Editor: 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 (se abrirá en una nueva ventana)

Autores: Bart Slagter, Johannes Reiche, Diego Marcos, Adugna Mullissa, Etse Lossou, Marielos Peña-Claros, Martin Herold
Publicado en: Remote Sensing of Environment, 2023, ISSN 0034-4257
Editor: 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 (se abrirá en una nueva ventana)

Autores: Adugna Mullissa, Johannes Reiche, Martin Herold
Publicado en: Remote Sensing of Environment, 2023, ISSN 0034-4257
Editor: Elsevier BV
DOI: 10.1016/j.rse.2023.113799

Challenges to Achieving the Commitments of Brazil’s NDC in the Amazon Biome (se abrirá en una nueva ventana)

Autores: 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.
Publicado en: CEBRI Journal, 2022, ISSN 2764-7897
Editor: 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" (se abrirá en una nueva ventana)

Autores: Henriikka Vekuri, Juha-Pekka Tuovinen, Liisa Kulmala, Dario Papale, Pasi Kolari, Mika Aurela, Tuomas Laurila, Jari Liski & Annalea Lohila
Publicado en: Scientific Report, Edición 13, 2023, ISSN 2045-2322
Editor: Nature Portfolio
DOI: 10.1038/s41598-023-28827-2

Toward a forest biomass reference measurement system for remote sensing applications (se abrirá en una nueva ventana)

Autores: 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
Publicado en: Global Change Biology, 2022, ISSN 1365-2486
Editor: Wiley-Blackwell
DOI: 10.1111/GCB.16497

"Impact of land tenure on deforestation control and forest restoration in Brazilian Amazonia" (se abrirá en una nueva ventana)

Autores: 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
Publicado en: Environmental Research Letters, Edición 18, 2023, ISSN 1748-9326
Editor: IOP Publishing
DOI: 10.1088/1748-9326/acd20a

Storm Daniel revealed the fragility of the Mediterranean region (se abrirá en una nueva ventana)

Autores: Junliang Qiu, Wei Zhao, Luca Brocca, Paolo Tarolli
Publicado en: The Innovation Geoscience, 2023, ISSN 2959-8753
Editor: 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 (se abrirá en una nueva ventana)

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

Past decade above-ground biomass change comparisons from four multi-temporal global maps (se abrirá en una nueva ventana)

Autores: 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
Publicado en: Remote Sensing of Environment, 2023, ISSN 0034-4257
Editor: 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 (se abrirá en una nueva ventana)

Autores: Hengl, T.; Ross, C.; Delconte, V.
Publicado en: OPEN EARTH MONITOR, 2022
Editor: Zenodo
DOI: 10.5281/zenodo.7118980

A Downsampling Method Addressing the Modifiable Areal Unit Problem in Remote Sensing (se abrirá en una nueva ventana)

Autores: Andrei Mîrț; Johannes Reiche; Jan Verbesselt; Martin Herold
Publicado en: Remote Sensing 14 (2022) 21, 2022, ISSN 2072-4292
Editor: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs14215538

Open-Earth-Monitor: a cyberinfrastructure bringing together key open source developers in Europe (se abrirá en una nueva ventana)

Autores: Hengl, Tomislav
Publicado en: Open-Earth-Monitor, 2023
Editor: 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 (se abrirá en una nueva ventana)

Autores: 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.
Publicado en: EGU General Assembly 2023, Vienna, Austria, Edición EGU23-16343, 2023
Editor: European Geosciences Union
DOI: 10.5194/egusphere-egu23-16343

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