Items where Research Program is "Novel Data Ecosystems for Sustainability (NODES)" and Year is 2023

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Number of items: 54.


Araza, A., Herold, M., de Bruin, S., Ciais, P., Gibbs, D.A., Harris, N., Santoro, M., Wigneron, J.-P., Yang, H., Málaga, N. et al. (2023). Past decade above-ground biomass change comparisons from four multi-temporal global maps. International Journal of Applied Earth Observation and Geoinformation 118, e103274. 10.1016/j.jag.2023.103274.


Boogaard, H., Pratihast, A.K., Laso Bayas, J.. ORCID:, Karanam, S., Fritz, S. ORCID:, Van Tricht, K., Degerickx, J. & Gilliams, S. (2023). Building a community-based open harmonised reference data repository for global crop mapping. PLoS ONE 18 (7), e0287731. 10.1371/journal.pone.0287731.


De Keersmaecker, W., Zanaga, D., Lesiv, M. ORCID:, Fritz, S. ORCID:, Senaras, C., Singh Rana, A., Bischke, B., Helber, P., Davis, T., Wania, A. et al. (2023). High resolution and high cadence time series of land surface categories, land use land cover, and land use land cover changes. 10.5281/zenodo.7924341.

Delavaux, C., Crowther, T., Zohner, C., Robmann, N., Lauber, T., van den Hoogen, J., Kuebbing, S., Liang, J., de-Miguel, S., Nabuurs, G.-J. et al. (2023). Native diversity buffers against severity of non-native tree invasions. Nature 10.1038/s41586-023-06440-7.


Fraisl, D. ORCID: (2023). Academia experience in collaborating with the National Statistics Offices for the SDGs: The case of citizen science data. In: UN World Data Forum 2023, April 2023, Hangzhou, China.

Fraisl, D. ORCID: (2023). Building Trust in Citizen Science Data. In: UN World Data Forum 2023, April 2023, Hangzhou, China.

Fraisl, D. ORCID: (2023). Citizen Science Global Partnership. In: C*Sci 2023, 22-26 May 2023, Phoenix, USA.

Fraisl, D. ORCID: (2023). Citizen science data for tracking progress towards sustainable development. In: Crowd4SDG Final Conference, 17 March 2023, CERN, Geneva, Switzerland.

Fraisl, D. ORCID: (2023). Citizen science, impact and Open Innovation in Science. In: Open Innovation in Science (OIS) Research Conference 2023, 08-10 May 2023, Vienna, Austria.

Fraisl, D. ORCID: (2023). Citizen science, local knowledge, and the United Nations Sustainable Development Goals (SDGs). [Teaching Resource]

Fraisl, D. ORCID: (2023). Meaningful engagement of all the actors to build trust in citizen science data and results. In: SciDataCon 2023, 23 - 26 October, 2023, Salzburg, Austria.

Fraisl, D. ORCID: (2023). The Value of Citizen Science Data for Tracking Progress of the Sustainable Development Goals. In: Lecture Urban Big Data Centre, University of Glasgow, 7 February 2023, online.

Fraisl, D. ORCID:, See, L. ORCID:, Bowers, R., Seidu, Omar, Fredua, K.B., Bowser, A., Meloche, M., Weller, S., Amaglo-Kobla, T., Ghafari, D. et al. (2023). The contributions of citizen science to SDG monitoring and reporting on marine plastics. Sustainability Science 10.1007/s11625-023-01402-4. (In Press)

Fraisl, D. ORCID:, See, L. ORCID:, Campbell, J., Danielsen, F. & Andrianandrasana, H.T. (2023). The Contributions of Citizen Science to the United Nations Sustainable Development Goals and Other International Agreements and Frameworks. Citizen Science: Theory and Practice 8 (1), 1-6. 10.5334/cstp.643.

Fraisl, D. ORCID:, See, L. ORCID:, Estevez, D., Tomaska, N. & MacFeely, S. (2023). Citizen science for monitoring the health and well-being related Sustainable Development Goals and the World Health Organization’s Triple Billion Targets. Frontiers in Public Health 11 10.3389/fpubh.2023.1202188.

Fraisl, D. ORCID:, See, L. ORCID:, Estevez, D., Tomaska, N. & MacFeely, S. (2023). Citizen science for monitoring the health and well-being related Sustainable Development Goals and the World Health Organization’s Triple Billion Targets. In: Citizen Science for Health and Well-Being Statistics: Side Event to the United Nations Expert Group Meeting on Citizen Contributions to Data: A Conceptual Framework, 28 September 2023, Danish Institute for Human Rights, Copenhagen, Denmark.

Fraisl, D. ORCID:, Topouzelis, K., Seidu, O., See, L. ORCID: & Rabiee, M. (2023). Feasibility study on marine litter detection and reporting in Ghana. Thematic Research Network on Data and Statistics (TReNDS) , New York, NY.

Fritz, S. ORCID:, Barasso, C., Ehrmann, F., Lesiv, M. ORCID:, McCallum, I. ORCID:, Meyer, C., Laso Bayas, J.C. ORCID: & See, L. ORCID: (2023). Opening up FAIR in-situ land-use reference data: current gaps, obstacles and future challenges. In: EGU General Assembly 2023, 23-28 April 2023, Vienna.


Giralt, B., Hager, G. ORCID: & Maso, J. (2023). Processes and Tools for enabling Interoperability between Citizen Science and Expert Biodiversity Data in Agriculture. In: 13th International Symposium on Digital Earth. Earth intelligence to understand and protect our Living Planet, 11-14 July 2023, Athens, Greece.


Hager, G. ORCID: (2023). Enabling farmers to respond to the biodiversity crisis together: the role of Citizen Science in Farmer Clusters. In: XXIXth European Society for Rural Sociology Congress Crises and the futures of rural areas, 3-7 July 2023, Rennes, France.

Hager, G. ORCID:, Ablinger, D., Wohlmuth, M.-L., Starz, W., Friedel, J.K., Salehi, A. & Hussain, R.I. (2023). Landwirt*innen nutzen Citizen Science Praktiken zur Unterstützung der Artenvielfalt am Land. DOI:10.5281/zenodo.7858015. In: Österreichische Citizen Science Konferenz 2023, Linz, Austria.

Hager, G. ORCID:, Moorthy, I. & See, L. ORCID: (2023). Citizen Science Daten und Praktiken – (Konflikt-)Potentiale für bürger*innenbasierte Datenströme und neue Formen urbaner Entscheidungsfindung. In: Österreichische Citizen Science Konferenz 2023, Linz, Austria.

Hordijk, I., Maynard, D.S., Hart, S.P., Lidong, M., ter Steege, H., Liang, J., de‐Miguel, S., Nabuurs, G.‐J., Reich, P., Abegg, M. et al. (2023). Evenness mediates the global relationship between forest productivity and richness. Journal of Ecology, 1308-1326. 10.1111/1365-2745.14098.


Jasansky, S., Lieber, M., Giljum, S. & Maus, V. ORCID: (2023). An open database on global coal and metal mine production. Scientific Data 10 (1) 10.1038/s41597-023-01965-y.

Jones, C.D., Ziehn, T., Anand, J., Bastos, A., Burke, E., Canadell, J.G., Cardoso, M., Ernst, Y., Jain, A.K., Jeong, S. et al. (2023). RECCAP2 Future Component: Consistency and Potential for Regional Assessment to Constrain Global Projections. AGU Advances 4 (6), e2023AV001024. 10.1029/2023AV001024.

Jung, M., Lesiv, M. ORCID:, Warren-Thomas, E., Shchepashchenko, D. ORCID:, See, L. ORCID: & Fritz, S. ORCID: (2023). The importance of capturing management in forest restoration targets. Nature Sustainability 10.1038/s41893-023-01192-8.


Labrière, N., Davies, S.J., Disney, M.I., Duncanson, L.I., Herold, M., Lewis, S.L., Phillips, O.L., Quegan, S., Saatchi, S.S., Shchepashchenko, D. ORCID: et al. (2023). Toward a forest biomass reference measurement system for remote sensing applications. Global Change Biology 29 (3), 827-840. 10.1111/gcb.16497.

Lesiv, M. ORCID:, Bun, H. & Dürauer, M. (2023). Validation data set on land cover changes for RapidAI4EO project. 10.5281/zenodo.7825963.

Lesiv, M. ORCID:, Dürauer, M., Georgieva, I., Bilous, A., Laso Bayas, J.C. ORCID: & Fritz, S. ORCID: (2023). Global reference data set for validating ESA WorldCereal temporary cropland extent. 10.5281/zenodo.7837480.

Lutz, W. ORCID: & Pachauri, S. ORCID: (2023). Systems Analysis for Sustainable Wellbeing. 50 years of IIASA research, 40 years after the Brundtland Commission, contributing to the post-2030 Global Agenda. IIASA Report. Laxenburg, Austria: International Institute for Applied Systems Analysis (IIASA) 10.5281/zenodo.8214208.


Matsala, M., Myroniuk, V., Borsuk, O., Vishnevskiy, D., Shchepashchenko, D. ORCID:, Shvidenko, A., Kraxner, F. & Bilous, A. (2023). Wall-to-wall mapping of carbon loss within the Chornobyl Exclusion Zone after the 2020 catastrophic wildfire. Annals of Forest Science 80 (1), e26. 10.1186/s13595-023-01192-w.

McCallum, I. ORCID:, Walker, J., Fritz, S. ORCID:, Grau, M., Hannan, C., Hsieh, I-S., Lape, D., Mahone, J., McLester, C., Mellgren, S. et al. (2023). Crowd-Driven Deep Learning Tracks Amazon Deforestation. Remote Sensing 15 (21), e5204. 10.3390/rs15215204.

Milenkovic, M., Georgieva, I., Pérez Guzmán, K. ORCID:, Fritz, S. ORCID: & Ross, C. (2023). OEMC D2.5 Feasibility and Impact Assessment. Zenodo 10.5281/zenodo.8187003.

Mo, L., Zohner, C., Reich, P., Liang, J., de Miguel, S., Nabuurs, G., Renner, S., van den Hoogen, J., Araza, A., Herold, M. et al. (2023). Integrated global assessment of the natural forest carbon potential. Nature 10.1038/s41586-023-06723-z.

Moersberger, H., Martin, J.G.C. ORCID:, Valdez, J., Junker, J., Georgieva, I., Bauer, S., Beja, P., Breeze, T., Brotons, L., Bruelheide, H. et al. (2023). The future of biodiversity monitoring in Europe. IIASA Policy Brief. Laxenburg, Austria: PB-37

Moorthy, I. (2023). Urban ReLeaf: Citizen-powered data ecosystems for inclusive and green urban transitions. In: Driving a just Twin Transition, 11 October 2023, Warsaw, Poland.

Moorthy, I., Castella, N., Peters-Anders, J., Hager, G. ORCID: & Fritz, S. ORCID: (2023). Citizen Science in Urban Studies. In: EuroGEO workshop, 2-4 October 2023, Bolzano, Italy.

Mukhortova, L. V. & Shchepashchenko, D.G. ORCID: (2023). Estimation of Carbon Stock in Forest Soils of Sakhalin Region. In: Physical and Mathematical Modeling of Earth and Environment Processes—2022. PMMEEP 2022. Eds. Karev, V.I., pp. 295-304 Cham: Springer. 10.1007/978-3-031-25962-3_30.


Orduña-Cabrera, F. ORCID:, Sandoval-Gastelum, M., McCallum, I. ORCID:, See, L. ORCID:, Fritz, S. ORCID:, Karanam, S., Sturn, T., Javalera Rincón, V. ORCID: & Gonzalez-Navarro, F.F. (2023). Investigating the Use of Street-Level Imagery and Deep Learning to Produce In-Situ Crop Type Information. Geographies 3 (3), 563-573. 10.3390/geographies3030029.

Oturai, N.G., Syberg, K., Fraisl, D. ORCID:, Hooge, A., Ramos, T.M., Schade, S. & Hansen, S.F. (2023). UN plastic treaty must mind the people: Citizen science can assist citizen involvement in plastic policymaking. One Earth 6 (6), 715-724. 10.1016/j.oneear.2023.05.017.


Proden, E., Fraisl, D. ORCID: & See, L. ORCID: (2023). Citizen Science: What is in it for the Official Statistics Community? Citizen Science: Theory and Practice 8 (1), e35. 10.5334/cstp.584.


Sandbrook, C., Albury-Smith, S., Allan, J.R., Bhola, N., Bingham, H.C., Brockington, D., Byaruhanga, A.B., Fajardo, J., Fitzsimons, J., Franks, P. et al. (2023). Social considerations are crucial to success in implementing the 30×30 global conservation target. Nature Ecology & Evolution 10.1038/s41559-023-02048-2.

Schulze, K., Malek, Ž., Shchepashchenko, D. ORCID:, Lesiv, M. ORCID:, Fritz, S. ORCID: & Verburg, P.H. (2023). Pantropical distribution of short-rotation woody plantations: spatial probabilities under current and future climate. Mitigation and Adaptation Strategies for Global Change 28 (5) 10.1007/s11027-023-10066-5.

See, L. ORCID: (2023). Citizen Science and the Remote Sensing of Land Cover. In: Reference Module in Earth Systems and Environmental Sciences. Elsevier. 10.1016/B978-0-443-13220-9.00002-0.

See, L. ORCID:, Gilliams, S., Conchedda, G., Degerickx, J., Van Tricht, K., Fritz, S. ORCID:, Lesiv, M. ORCID:, Laso Bayas, J.C. ORCID:, Rosero, J., Tubiello, F.N. et al. (2023). Dynamic global-scale crop and irrigation monitoring. Nature Food 4 (9), 736-737. 10.1038/s43016-023-00841-7.

See, L. ORCID:, Soja, B., Kłopotek, G., Sturn, T., Weinacker, R., Karanam, S., Georgieva, I., Pan, Y., Crocetti, L., Rothacher, M. et al. (2023). Collecting volunteered geographic information from the Global Navigation Satellite System (GNSS): experiences from the CAMALIOT project. International Journal of Digital Earth 16 (1), 2818-2841. 10.1080/17538947.2023.2239761.

See, L. ORCID:, Sturn, T., Karanam, S., Subash, A., Fraisl, D. ORCID:, McCallum, I. ORCID: & Fritz, S. ORCID: (2023). The Picture Pile Platform for Rapid Image Classification: Demonstrating the Potential for Citizen Science and SDG Monitoring. In: ISRSE39, 24-28 April 2023, Antalya, Turkey.

Soja, B., Kłopotek, G., Pan, Y., Crocetti, L., Mao, S., Awadaljeed, M., Rothacher, M., See, L. ORCID:, Sturn, T., Weinacker, R. et al. (2023). Machine Learning-Based Exploitation of Crowdsourced GNSS Data for Atmospheric Studies. In: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium. pp. 1170-1173 Pasadena: IEEE. 10.1109/IGARSS52108.2023.10283441.

Sonter, L.J., Maron, M., Bull, J., Giljum, S., Luckeneder, S., Maus, V. ORCID:, McDonald-Madden, E., Northey, S.A., Sánchez, L.E., Valenta, R. et al. (2023). How to fuel an energy transition with ecologically responsible mining. Proceedings of the National Academy of Sciences 120 (35), e2307006120. 10.1073/pnas.2307006120.


Tubiello, F.N., Conchedda, G., Casse, L., Pengyu, H., Zhongxin, C., De Santis, G., Fritz, S. & Muchoney, D. (2023). Measuring the world’s cropland area. Nature Food 10.1038/s43016-022-00667-9.


Van Tricht, K., Degerickx, J., Gilliams, S., Zanaga, D., Battude, M., Grosu, A., Brombacher, J., Lesiv, M. ORCID:, Laso Bayas, J.C. ORCID:, Karanam, S. et al. (2023). WorldCereal: a dynamic open-source system for global-scale, seasonal, and reproducible crop and irrigation mapping. Earth System Science Data 10.5194/essd-2023-184. (Submitted)

Van Tricht, K., Degerickx, J., Gilliams, S., Zanaga, D., Savinaud, M., Battude, M., Buguet de Chargère, R., Dubreule, G., Grosu, A., Brombacher, J. et al. (2023). ESA WorldCereal 10 m 2021 v100. 10.5281/zenodo.7875105.


Werner, T.T., Toumbourou, T., Maus, V. ORCID:, Lukas, M.C., Sonter, L.J., Muhdar, M., Runting, R.K. & Bebbington, A. (2023). Patterns of infringement, risk, and impact driven by coal mining permits in Indonesia. Ambio 10.1007/s13280-023-01944-y. (In Press)

Williams, N.G., Lucash, M.S., Ouellette, M.R., Brussel, T., Gustafson, E.., Weiss, S.A., Sturtevant, B.R., Shchepashchenko, D. ORCID: & Shvidenko, A.Z. (2023). Simulating dynamic fire regime and vegetation change in a warming Siberia. Fire Ecology 19 (1), e33. 10.1186/s42408-023-00188-1.

This list was generated on Fri Dec 8 19:45:26 2023 UTC.