Items where Research Program is "Advancing Systems Analysis (ASA) > Novel Data Ecosystems for Sustainability (NODES)" and Year is 2022

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Number of items: 24.

Cha, S., Jo, H.-W., Kim, M., Song, C., Lee, H., Park, E., Lim, J., Shchepashchenko, D. ORCID: https://orcid.org/0000-0002-7814-4990, Shvidenko, A. & Lee, W.-K. (2022). Application of deep learning algorithm for estimating stand volume in South Korea. Journal of Applied Remote Sensing 16 (02), e024503. 10.1117/1.JRS.16.024503.

Crocetti, L., Soja, B., Klopotek, G., Awadaljeed, M., Rothacher, M., See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Weinacker, R. & Sturn, T. (2022). Machine learning based modelling of tropospheric parameters with GNSS enhanced by meteorological data. In: ESA Living Planet Symposium, 23-27 May 2022, Bonn, Germany.

Crocetti, L., Soja, B., Klopotek, G., Awadaljeed, M., Rothacher, M., See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Weinacker, R., Sturn, T., McCallum, I. ORCID: https://orcid.org/0000-0002-5812-9988 & Navarro, V. (2022). Machine learning and meteorological data for spatio-temporal prediction of tropospheric parameters. In: EGU General Assembly 2022, 23-27 May 2022, Vienna.

Crocetti, L., Soja, B., Kłopotek, G., Awadaljeed, M., Rothacher, M., See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Weinacker, R., Sturn, T., McCallum, I. ORCID: https://orcid.org/0000-0002-5812-9988 & Navarro, V. (2022). Machine learning algorithms for global modelling of Zenith Wet Delay based on GNSS measurements and meteorological data. In: 1st Workshop on Data Science for GNSS Remote Sensing, 13-15 June 2022, Potsdam, Germany.

Danielsen, F., Begg, G., Hager, G. ORCID: https://orcid.org/0000-0003-2259-0278, Poulsen, M.K., Le, H.T.T. & Kragh, G. (2022). Kan landmandsledet innovation fremme biodiversitet og bæredygtig landbrugsdrift? In: Biodiversitetssymposium 2022, 23-24 June 2022.

Fraisl, D. ORCID: https://orcid.org/0000-0001-7523-7967 (2022). Citizen science data for the SDGs Ghana experience in monitoring 14.1.1b plastic debris density. In: The UN Committee of Experts on Big Data and Data Science for Official Statistics (UN-CEBD), 25-27 January 2022.

Fraisl, D. ORCID: https://orcid.org/0000-0001-7523-7967, See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Sturn, T., MacFeely, S., Bowser, A., Campbell, J., Moorthy, I., Danylo, O., McCallum, I. ORCID: https://orcid.org/0000-0002-5812-9988 & Fritz, S. (2022). Demonstrating the potential of Picture Pile as a citizen science tool for SDG monitoring. Environmental Science & Policy 128, 81-93. 10.1016/j.envsci.2021.10.034.

Fritz, S., Laso Bayas, J.C. ORCID: https://orcid.org/0000-0003-2844-3842, See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Shchepashchenko, D. ORCID: https://orcid.org/0000-0002-7814-4990, Hofhansl, F. ORCID: https://orcid.org/0000-0003-0073-0946, Jung, M., Dürauer, M., Georgieva, I., Danylo, O., Lesiv, M. ORCID: https://orcid.org/0000-0001-9846-3342 et al. (2022). A Continental Assessment of the Drivers of Tropical Deforestation with a Focus on Protected Areas. Frontiers in Conservation Science 3, e830248. 10.3389/fcosc.2022.830248.

Hager, G. ORCID: https://orcid.org/0000-0003-2259-0278, Kragh, G., Pulsen, M., Danielsen, F., Vray, S. & Martin, Y. (2022). The potential of citizen science to support local biodiversity sensitive farming systems: First insights from the FRAMEwork project. Landscape Management for Functional Biodiversity. In: IOBC-WPRS Bulletin. Eds. Gerowitt, B., Holland, J., Bianchi, F., Begg, G., Moonen, C., Marini, S., Loni, A., Jackson, G., Sutter, L. & Lupi, D., pp. 45-49 Darmstadt: IOBC-WPRS. ISBN 978-92-9067-342-2

Javalera Rincón, V. ORCID: https://orcid.org/0000-0001-8743-9777, Orduña-Cabrera, F., Obersteiner, M. ORCID: https://orcid.org/0000-0001-6981-2769 & Rios, A. (2022). Smart Linker for harmonizing trade assumptions between countries' sustainable pathways on the FABLE's Scenathon. IIASA Report. IIASA, Laxenburg, Austria

Jung, M., Lewis, M. ORCID: https://orcid.org/0000-0003-2244-4078, Lesiv, M. ORCID: https://orcid.org/0000-0001-9846-3342, Arnell, A., Fritz, S. & Visconti, P. (2022). The global exposure of species ranges and protected areas to forest management. Diversity and Distributions 10.1111/ddi.13582. (In Press)

Klopotek, G., Soja, B., Awadaljeed, M., Crocetti, L., Rothacher, M., See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Weinacker, R., Sturn, T., McCallum, I. ORCID: https://orcid.org/0000-0002-5812-9988 & Navarro, V. (2022). Total Electron Content Monitoring Complemented with Crowdsourced GNSS Observations. In: EGU General Assembly 2022, 23-27 May 2022, Vienna.

Laso Bayas, J.C. ORCID: https://orcid.org/0000-0003-2844-3842, See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Georgieva, I., Shchepashchenko, D. ORCID: https://orcid.org/0000-0002-7814-4990, Danylo, O., Dürauer, M., Bartl, H., Hofhansl, F. ORCID: https://orcid.org/0000-0003-0073-0946, Zadorozhniuk, R., Burianchuk, M. et al. (2022). Drivers of tropical forest loss between 2008 and 2019. Scientific Data 9 (1), e146. 10.1038/s41597-022-01227-3.

Laurien, F. ORCID: https://orcid.org/0000-0001-7329-5864, McCallum, I. ORCID: https://orcid.org/0000-0002-5812-9988, Velev, S. & Mechler, R. ORCID: https://orcid.org/0000-0003-2239-1578 (2022). Resilience service technologies for identifying climate change adaptation gaps: The flood resilience dashboard. In: EGU General Assembly 2022, 23-27 May 2022, Vienna.

Lehmann, A., Mazzetti, P., Santoro, M., Nativi, S., Masò, J., Serral, I., Spengler, D., Niamir, A., Lacroix, P., Ambrosone, M. et al. (2022). Essential earth observation variables for high-level multi-scale indicators and policies. Environmental Science & Policy 131, 105-117. 10.1016/j.envsci.2021.12.024.

Lesiv, M. ORCID: https://orcid.org/0000-0001-9846-3342, Shchepashchenko, D. ORCID: https://orcid.org/0000-0002-7814-4990, Buchhorn, M., See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Dürauer, M., Georgieva, I., Jung, M., Hofhansl, F. ORCID: https://orcid.org/0000-0003-0073-0946, Schulze, K., Bilous, A. et al. (2022). Global forest management data for 2015 at a 100 m resolution. Scientific Data 9 (1), e199. 10.1038/s41597-022-01332-3.

McCallum, I. ORCID: https://orcid.org/0000-0002-5812-9988, Kyba, C.C.M., Laso Bayas, J.C. ORCID: https://orcid.org/0000-0003-2844-3842, Moltchanova, E., Cooper, M., Crespo Cuaresma, J., Pachauri, S. ORCID: https://orcid.org/0000-0001-8138-3178, See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Danylo, O., Moorthy, I. et al. (2022). Estimating global economic well-being with unlit settlements. Nature Communications 13, e2459. 10.1038/s41467-022-30099-9.

Moersberger, H., Martin, J.G. ORCID: https://orcid.org/0000-0002-2862-8540, Junker, J., Georgieva, I., Bauer, S., Beja, P., Breeze, T., Brotons, L., Bruelheide, H., Fernández, N. et al. (2022). Europa Biodiversity Observation Network: User and Policy Needs Assessment. EuropaBON/German Centre of Biodiversity Research (iDiv) , Leipzig. 10.3897/arphapreprints.e84517.

Ngo, A.T., Nguyen, G.T.H., Nong, D.H. & See, L. ORCID: https://orcid.org/0000-0002-2665-7065 (2022). Simulating the spatial distribution of pollutant loads from pig farming using an agent-based modeling approach. Environmental Science and Pollution Research 29, 42037-42054. 10.1007/s11356-021-17112-2.

Salk, C., Moltchanova, E., See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Sturn, T., McCallum, I. ORCID: https://orcid.org/0000-0002-5812-9988 & Fritz, S. (2022). How many people need to classify the same image? A method for optimizing volunteer contributions in binary geographical classifications. PLOS ONE 17 (5), e0267114. 10.1371/journal.pone.0267114.

See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Georgieva, I., Dürauer, M., Kemper, T., Corbane, C., Maffenini, L., Gallego, J., Pesaresi, M., Sirbu, F., Ahmed, R. et al. (2022). A crowdsourced global data set for validating built-up surface layers. Scientific Data 9 (1) 10.1038/s41597-021-01105-4.

See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Laso Bayas, J.C. ORCID: https://orcid.org/0000-0003-2844-3842, Lesiv, M. ORCID: https://orcid.org/0000-0001-9846-3342, Shchepashchenko, D. ORCID: https://orcid.org/0000-0002-7814-4990, Danylo, O., McCallum, I. ORCID: https://orcid.org/0000-0002-5812-9988, Dürauer, M., Georgieva, I., Domian, D., Fraisl, D. ORCID: https://orcid.org/0000-0001-7523-7967 et al. (2022). Lessons learned in developing reference data sets with the contribution of citizens: the Geo-Wiki experience. Environmental Research Letters 17 (6), e065003. 10.1088/1748-9326/ac6ad7.

Skarlatidou, A., Fraisl, D. ORCID: https://orcid.org/0000-0001-7523-7967, Wu, Y., See, L. ORCID: https://orcid.org/0000-0002-2665-7065 & Haklay, M. (2022). Extreme Citizen Science Contributions to the Sustainable Development Goals: Challenges and Opportunities for a Human-Centred Design Approach. In: Sense, Feel, Design. INTERACT - IFIP Conference on Human-Computer Interaction. pp. 20-35 Springer. ISBN 978-3-030-98387-1 10.1007/978-3-030-98388-8_3.

Xu, L., Herold, M., Tsendbazar, N.-E., Masiliūnas, D., Li, L., Lesiv, M. ORCID: https://orcid.org/0000-0001-9846-3342, Fritz, S. & Verbesselt, J. (2022). Time series analysis for global land cover change monitoring: A comparison across sensors. Remote Sensing of Environment 271, e112905. 10.1016/j.rse.2022.112905.

This list was generated on Sat Jul 2 23:34:15 2022 UTC.