![SpaceX | pexels.com](/sites/default/files/styles/thumbnail/public/2022-12/Satellite%20pexels-spacex-60132.jpg?itok=iihs3QUA)
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
Staff
News
![AI generated aerial view of a vast boreal forest](/sites/default/files/styles/thumbnail/public/2024-07/dreamstime_m_291091814.jpg?itok=_gsPzOVZ)
17 July 2024
Forests endure as carbon sink despite regional pressures
![Biodiversity Monitoring Europe](/sites/default/files/styles/thumbnail/public/2024-07/Conservation%20Letters%20Image.jpg?itok=-X3kVwIB)
01 July 2024
What do we need for better biodiversity monitoring in Europe?
![geometry](/sites/default/files/styles/thumbnail/public/2024-06/Climate-Survivors_Header.png?itok=9OjjYXEN)
26 June 2024
Jan Steinhauser in an interview for the ‘Climate Survivors’ game
Events
Focus
![Local people working in their field, near Lamin village, Gambia, West Africa](/sites/default/files/styles/thumbnail/public/2024-07/dreamstime_m_276452896.jpg?itok=g0v0JE50)
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.
27 June 2024
Improving national SDG reporting through citizen science
![marine litter](/sites/default/files/styles/thumbnail/public/2024-06/dreamstime_xxl_282380437.jpg?itok=ewoOMXN7)
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. Capinha, C., Ceia-Hasse, A., de-Miguel, S., Vila-Viçosa, C., Porto, M., Jarić, I., Tiago, P., Fernández, N., Valdez, J., McCallum, I. , & Pereira, H.M. (2024). Using citizen science data for predicting the timing of ecological phenomena across regions. BioScience biae041. 10.1093/biosci/biae041. Moersberger, H., Valdez, J., Martin, J.G.C. , Junker, J., Georgieva, I. , Bauer, S., Beja, P., Breeze, T.D., Fernandez, M., Fernández, N., Brotons, L., Jandt, U., Bruelheide, H., Kissling, W.D., Langer, C., Liquete, C., Lumbierres, M., Solheim, A.L., Maes, J., Morán‐Ordóñez, A., Moreira, F., Pe'er, G., Santana, J., Shamoun‐Baranes, J., Smets, B., Capinha, C., McCallum, I. , Pereira, H.M., & Bonn, A. (2024). Biodiversity monitoring in Europe: User and policy needs. Conservation Letters e13038. 10.1111/conl.13038. Hager, G. (2024). Citizen-basierte Daten- und Wissenssysteme für einen inklusiven und grünen städtischen Wandel. In: FFG Deep Dive "Aktuelle New European Bauhaus-Ausschreibungen in Horizon Europe & LIFE", 21 June 2024. Pišl, J., Rußwurm, M., Haydn Hughes, L., Lenczner, G., See, L. , Dirk Wegner, J., & Tuia, D. (2024). Mapping drivers of tropical forest loss with satellite image time series and machine learning. Environmental Research Letters 19 (6) e064053. 10.1088/1748-9326/ad44b2.