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NODES will mobilize the tools of citizen and data science combined with Earth observations to monitor, analyze, and foster progress towards the UN Sustainable Development Goals (SDGs).
To realize this vision, NODES will exploit novel data ecosystems in which several actors interact via infrastructure, analytics, and applications to produce, analyze, exchange, and consume data.
Three main cross-fertilizing pillars characterize the research focus of NODES:
- Advancing the field of citizen science: NODES will remain at the forefront of citizen science from conceptual advancements to innovations in citizen science practice, including the development of new means to acquire, analyze, and openly share citizen science data, as well as how citizen science can contribute to the SDGs and sustainability.
- Enriching Earth observation: NODES will utilize new types of Earth observation technology (e.g., high-resolution imagery, drones, and the Internet of things (IoT)) and develop applications that focus on the interplay between Earth observation and citizen science using Geo-Wiki tools, various forms of remote sensing, and on-site observation.
- Exploiting the digital revolution: NODES will harness the opportunities arising from the digital revolution by exploiting advancements in computing capabilities, data science (e.g., machine and deep learning), environmental informatics, and the geospatial sciences, among others, to enhance integrated systems science research and generate new and innovative data sets for further insights.
Projects
Urban ReLeaf - Citizen-powered data ecosystems for inclusive and green urban transitions
Open-Earth-Monitor Cyberinfrastructure (OEMC)
Staff
Monica Shishodia
Research Software Developer (NODES)
Carl Salk
Guest Research Scholar (NODES)
Milutin Milenkovic
Research Scholar (NODES)
Martina Dürauer
Research Software Developer (NODES)
News
30 September 2024
Transforming climate action through data
After the devastating floods that recently struck Vienna and other areas of Europe, global attention has turned to the need for better tools to combat climate change impacts. President of the European Commission, Ursula von der Leyen, also highlighted the need to build a competitive, decarbonized and circular economy, with a fair transition for all as a high-priority objective for this legislature. In this spirit, the Open Earth Monitor project will kick off the second edition of its flagship event in collaboration with IIASA on 2 October.
02 September 2024
IIASA-led research lauded with Outstanding Article Award
An IIASA-led paper published with collaborators and stakeholders from the Ghana Statistical Service, the United Nations Environment Programme (UNEP), SDSN TReNDS, and other partners has received the Outstanding Article Award in the journal Sustainability Science’s Best Paper Awards for 2023.
22 August 2024
Improving the accuracy of global cropland mapping
To address the needs of the agricultural monitoring community, IIASA scientists fused two of the latest high quality, high-resolution, remotely-sensed cropland products to produce an improved cropland map for early warning and food security assessments.
Events
Krakow, Poland
NODES at EuroGEO 2024
Laxenburg, Austria
Open-Earth-Monitor Global Workshop 2024
Focus
29 August 2024
Experiencing the science that we write about
IIASA researcher, Linda See, shares her experiences at the coalface of where plastic pollution is collected by volunteers during a beach cleanup event.
08 July 2024
Future food demand in The Gambia: can increased crop productivity and climate adaptation close the supply–demand gap?
The Gambia faces significant food availability issues due to low agricultural productivity. IIASA researchers and colleagues used the FABLE Calculator to explore actions to reduce the food supply-demand gap by 2050. The results, published in Food Security, reveal that current cropland will not meet food demand by 2050.
Publications
Barthelme, P., Darbyshire, E., Spracklen, D.V., & Watmough, G. (2024). Detecting Vietnam War bomb craters in declassified historical KH-9 satellite imagery. Science of Remote Sensing 10 e100143. 10.1016/j.srs.2024.100143. Santoro, M., Cartus, O., Quegan, S., Kay, H., Lucas, R.M., Araza, A., Herold, M., Labrière, N., Chave, J., Rosenqvist, Å., Tadono, T., Kobayashi, K., Kellndorfer, J., Avitabile, V., Brown, H., Carreiras, J., Campbell, M.J., Cavlovic, J., Bispo, P.d.C., Gilani, H., Khan, M.L., Kumar, A., Lewis, S.L., Liang, J., Mitchard, E.T.A., Pacheco-Pascagaza, A.M., Phillips, O.L., Ryan, C.M., Saikia, P., Shchepashchenko, D. , Sukhdeo, H., Verbeeck, H., Vieilledent, G., Wijaya, A., Willcock, S., & Seifert, F.M. (2024). Design and performance of the Climate Change Initiative Biomass global retrieval algorithm. Science of Remote Sensing 10 e100169. 10.1016/j.srs.2024.100169. Sprinks, J., Maccani, G., Fraisl, D. , Solange Leal, A., Gras-Velazquez, A., Liconti, A., Fritz, S. , Azevedo, C., Ceccaroni, L., & Parkinson, S. (2024). CROPS: changing the scale of citizen science towards the transnational level. ARPHA Proceedings 1 101-105. 10.3897/ap.e126305. Fraisl, D. , See, L. , McCallum, I. , & Fritz, S. (2024). Complementary use of citizen science and EO data for addressing SDG data gaps. In: URBIS24, 16-18 SEPTEMBER 2024, Rome, Italy. Kłopotek, G., Pan, Y., Sturn, T., Weinacker, R., See, L. , Crocetti, L., Awadaljeed, M., Rothacher, M., McCallum, I. , Fritz, S. , Navarro, V., & Soja, B. (2024). A Cloud-native Approach for Processing of Crowdsourced GNSS Observations and Machine Learning at Scale: A Case Study from the CAMALIOT Project. Advances in Space Research 74 (6) 2752-2770. 10.1016/j.asr.2024.02.055.