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CORDIS - Forschungsergebnisse der EU
CORDIS

Open-Earth-Monitor Cyberinfrastructure

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

"Summary of workshop ""Open-Earth-Monitor"" 2023" (öffnet in neuem Fenster)

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" (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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" (öffnet in neuem Fenster)

"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" (öffnet in neuem Fenster)

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" (öffnet in neuem Fenster)

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" (öffnet in neuem Fenster)

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" (öffnet in neuem Fenster)

"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" (öffnet in neuem Fenster)

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" (öffnet in neuem Fenster)

"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""" (öffnet in neuem Fenster)

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" (öffnet in neuem Fenster)

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" (öffnet in neuem Fenster)

"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 (öffnet in neuem Fenster)

"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 (öffnet in neuem Fenster)

"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"""

Veröffentlichungen

Crop-Type Recognition in Street-level Images with Convolutional Neural Networks (öffnet in neuem Fenster)

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

Ways forward for Machine Learning to make useful global environmental datasets from legacy observations and measurements (öffnet in neuem Fenster)

Autoren: Nature Communications
Veröffentlicht in: NATURE COMMUNICATIONS, Ausgabe 13, 2022
Herausgeber: 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 (öffnet in neuem Fenster)

Autoren: 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;
Veröffentlicht in: 2023
Herausgeber: Publisher
DOI: 10.5281/ZENODO.8300534

Forest restoration challenges in Brazilian Amazonia (öffnet in neuem Fenster)

Autoren: Camara; Simoes; Ruivo; Andrade; Soterroni; Ramos; Ramos; Scarabello; Almeida; Sanches; Maurano; Coutinho; Esquerdo; Antunes; Venturieri; Adami
Veröffentlicht in: NO, 2023
Herausgeber: 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 (öffnet in neuem Fenster)

Autoren: OpenGeoHub
Veröffentlicht in: Innovative governance, environmental observations and digital solutions in support of the European Green Deal - Open-Earth-Monitor public workshop 2022, 2022
Herausgeber: 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 (öffnet in neuem Fenster)

Autoren: Tom Hengl
Veröffentlicht in: Open-Earth-Monitor Cyberinfrastructure project, 2023
Herausgeber: Zenodo
DOI: 10.5281/zenodo.7750174

High frequency land cover classification method for supporting global monitoring (öffnet in neuem Fenster)

Autoren: Dainius Masiliūnas, Diego Marcos, Nandin-Erdene Tsendbazar, Martin Herold, Jan Verbesselt
Veröffentlicht in: 2022
Herausgeber: Zenodo
DOI: 10.5281/ZENODO.8310036

Paddy rice methane emissions across Monsoon Asia (öffnet in neuem Fenster)

Autoren: 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
Veröffentlicht in: Remote Sensing of Environment, 2023, ISSN 0034-4257
Herausgeber: 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 (öffnet in neuem Fenster)

Autoren: 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
Veröffentlicht in: PeerJ Inc., 2024, ISSN 2167-8359
Herausgeber: 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 (öffnet in neuem Fenster)

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

AmeriFlux BASE data pipeline to support network growth and data sharing (öffnet in neuem Fenster)

Autoren: 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
Veröffentlicht in: Scientific Data, 2023, ISSN 2052-4463
Herausgeber: Nature Portfolio
DOI: 10.1038/s41597-023-02531-2

PeerJ (öffnet in neuem Fenster)

Autoren: Ho Y, Grohmann CH, Lindsay J, Reuter HI, Parente L, Witjes M, Hengl T.
Veröffentlicht in: PeerJ, Ausgabe 13, 2025, ISSN 2167-8359
Herausgeber: PeerJ
DOI: 10.7717/PEERJ.19673

SM2RAIN-Climate, a monthly global long-term rainfall dataset for climatological studies (öffnet in neuem Fenster)

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

A Simply Updatable Cloud-based Ensemble Digital Terrain Model (öffnet in neuem Fenster)

Autoren: Yu-Feng HO; Tomislav Hengl; Leandro Parente
Veröffentlicht in: GEOMORPHOMETRY IASI ROMANIA, 2023
Herausgeber: Zenodo
DOI: 10.5281/zenodo.7877510

Environmental Research Letters (öffnet in neuem Fenster)

Autoren: Johannes Reiche Johannes Balling, Amy Hudson Pickens, Robert N Masolele, Anika Berger, Mikaela J Weisse, Daniel Mannarino, Yaqing Gou, Bart Slagter, Gennadii Donchyts
Veröffentlicht in: Environmental Research Letters, 2024, ISSN 1748-9326
Herausgeber: 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 (öffnet in neuem Fenster)

Autoren: Robert N. Masolele; Veronique De Sy; Diego Marcos; Jan Verbesselt; Fabian Gieseke; Kalkidan Ayele Mulatu; Yitebitu Moges; Heiru Sebrala; Christopher Martius; Martin Herold
Veröffentlicht in: GIScience & Remote Sensing, 2022, ISSN 1548-1603
Herausgeber: 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 (öffnet in neuem Fenster)

Autoren: 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
Veröffentlicht in: WAGENINGEN UNIVERSITY AND RESEARCH, 2023
Herausgeber: Zenodo
DOI: 10.5281/zenodo.8119406

Exploring characteristics of national forest inventories for integration with global space-based forest biomass data (öffnet in neuem Fenster)

Autoren: 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
Veröffentlicht in: Science of the total Environment, 2022, ISSN 0048-9697
Herausgeber: 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 (öffnet in neuem Fenster)

Autoren: 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
Veröffentlicht in: Ecological Indicators, 2023, ISSN 1872-7034
Herausgeber: Elsevier Ltd
DOI: 10.1016/j.ecolind.2023.111328

EcoDataCube.eu: Analysis-ready open environmental data cube for Europe (öffnet in neuem Fenster)

Autoren: 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.
Veröffentlicht in: RESEARCH SQUARE, 2023
Herausgeber: Research Square
DOI: 10.21203/rs.3.rs-2277090/v1

How textural features can improve SAR-based tropical forest disturbance mapping (öffnet in neuem Fenster)

Autoren: Balling, J., Herold, M., Reiche, J.
Veröffentlicht in: International Journal of Applied Earth Observation and Geoinformation, 2023, ISSN 1569-8432
Herausgeber: 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 (öffnet in neuem Fenster)

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

Integrated global assessment of the natural forest carbon potential (öffnet in neuem Fenster)

Autoren: 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.
Veröffentlicht in: Nature, 2023, ISSN 1476-4687
Herausgeber: 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 (öffnet in neuem Fenster)

Autoren: Carmelo Bonannella, Leandro Parente, Sytze de Bruin, Martin Herold
Veröffentlicht in: Forest Ecology and Management, Ausgabe 554, 2024
Herausgeber: 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 (öffnet in neuem Fenster)

Autoren: Carmelo Bonannella​, Tomislav Hengl, Leandro Parente, Sytze de Bruin
Veröffentlicht in: PeerJ, 2023, ISSN 2167-8359
Herausgeber: 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 (öffnet in neuem Fenster)

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

Spatial predictions and uncertainties of forest carbon fluxes for carbon accounting (öffnet in neuem Fenster)

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

StrucNet: a global network for automated vegetation structure monitoring (öffnet in neuem Fenster)

Autoren: 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
Veröffentlicht in: Remote Sensing in Ecology and Conservation, Ausgabe 5, 2023, ISSN 2056-3485
Herausgeber: 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 (öffnet in neuem Fenster)

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

Building a community-based open harmonised reference data repository for global crop mapping (öffnet in neuem Fenster)

Autoren: Hendrik Boogaard; Arun Kumar Pratihast; Juan Carlos Laso Bayas; Santosh Karanam; Steffen Fritz; Kristof Van Tricht; Jeroen Degerickx; Sven Gilliams
Veröffentlicht in: PLOS ONE, 2023, ISSN 1932-6203
Herausgeber: 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 (öffnet in neuem Fenster)

Autoren: Natalia Málaga; Sytze de Bruin; Ronald E. McRoberts; Alexs Arana Olivos; Ricardo de la Cruz Paiva; Patricia Durán Montesinos; Daniela Requena Suarez; Martin Herold
Veröffentlicht in: International Journal of Applied Earth Observation and Geoinformation 115 (2022), 2022, ISSN 1569-8432
Herausgeber: 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 (öffnet in neuem Fenster)

Autoren: Bart Slagter, Johannes Reiche, Diego Marcos, Adugna Mullissa, Etse Lossou, Marielos Peña-Claros, Martin Herold
Veröffentlicht in: Remote Sensing of Environment, 2023, ISSN 0034-4257
Herausgeber: 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 (öffnet in neuem Fenster)

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

Challenges to Achieving the Commitments of Brazil’s NDC in the Amazon Biome (öffnet in neuem Fenster)

Autoren: 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.
Veröffentlicht in: CEBRI Journal, 2022, ISSN 2764-7897
Herausgeber: 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" (öffnet in neuem Fenster)

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

Toward a forest biomass reference measurement system for remote sensing applications (öffnet in neuem Fenster)

Autoren: 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
Veröffentlicht in: Global Change Biology, 2022, ISSN 1365-2486
Herausgeber: Wiley-Blackwell
DOI: 10.1111/GCB.16497

"Impact of land tenure on deforestation control and forest restoration in Brazilian Amazonia" (öffnet in neuem Fenster)

Autoren: 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
Veröffentlicht in: Environmental Research Letters, Ausgabe 18, 2023, ISSN 1748-9326
Herausgeber: IOP Publishing
DOI: 10.1088/1748-9326/acd20a

Storm Daniel revealed the fragility of the Mediterranean region (öffnet in neuem Fenster)

Autoren: Junliang Qiu, Wei Zhao, Luca Brocca, Paolo Tarolli
Veröffentlicht in: The Innovation Geoscience, 2023, ISSN 2959-8753
Herausgeber: 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 (öffnet in neuem Fenster)

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

Past decade above-ground biomass change comparisons from four multi-temporal global maps (öffnet in neuem Fenster)

Autoren: 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
Veröffentlicht in: Remote Sensing of Environment, 2023, ISSN 0034-4257
Herausgeber: 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 (öffnet in neuem Fenster)

Autoren: Hengl, T.; Ross, C.; Delconte, V.
Veröffentlicht in: OPEN EARTH MONITOR, 2022
Herausgeber: Zenodo
DOI: 10.5281/zenodo.7118980

A Downsampling Method Addressing the Modifiable Areal Unit Problem in Remote Sensing (öffnet in neuem Fenster)

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

Open-Earth-Monitor: a cyberinfrastructure bringing together key open source developers in Europe (öffnet in neuem Fenster)

Autoren: Hengl, Tomislav
Veröffentlicht in: Open-Earth-Monitor, 2023
Herausgeber: 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 (öffnet in neuem Fenster)

Autoren: 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.
Veröffentlicht in: EGU General Assembly 2023, Vienna, Austria, Ausgabe EGU23-16343, 2023
Herausgeber: European Geosciences Union
DOI: 10.5194/egusphere-egu23-16343

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