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: 15.


Cha, S., Jo, H.-W., Kim, M., Song, C., Lee, H., Park, E., Lim, J., Shchepashchenko, D. ORCID:, 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.


Fraisl, D. ORCID: (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:, See, L. ORCID:, Sturn, T., MacFeely, S., Bowser, A., Campbell, J., Moorthy, I., Danylo, O., McCallum, I. ORCID: & 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:, See, L. ORCID:, Shchepashchenko, D. ORCID:, Hofhansl, F. ORCID:, Jung, M., Dürauer, M., Georgieva, I., Danylo, O., Lesiv, M. ORCID: 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.


Javalera Rincón, V. ORCID:, Orduña-Cabrera, F., Obersteiner, M. ORCID: & Rios, A. (2022). Smart Linker for harmonizing trade assumptions between countries' sustainable pathways on the FABLE's Scenathon. IIASA Report. IIASA, Laxenburg, Austria


Laso Bayas, J.C. ORCID:, See, L. ORCID:, Georgieva, I., Shchepashchenko, D. ORCID:, Danylo, O., Dürauer, M., Bartl, H., Hofhansl, F. ORCID:, 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.

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:, Shchepashchenko, D. ORCID:, Buchhorn, M., See, L. ORCID:, Dürauer, M., Georgieva, I., Jung, M., Hofhansl, F. ORCID:, 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:, Kyba, C.C.M., Laso Bayas, J.C. ORCID:, Moltchanova, E., Cooper, M., Crespo Cuaresma, J., Pachauri, S. ORCID:, See, L. ORCID:, 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:, 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.


Salk, C., Moltchanova, E., See, L. ORCID:, Sturn, T., McCallum, I. ORCID: & 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:, 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:, Laso Bayas, J.C. ORCID:, Lesiv, M. ORCID:, Shchepashchenko, D. ORCID:, Danylo, O., McCallum, I. ORCID:, Dürauer, M., Georgieva, I., Domian, D., Fraisl, D. ORCID: 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:, Wu, Y., See, L. ORCID: & 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:, 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 Sun May 22 11:40:52 2022 UTC.