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References

Expertise

  • Earth and Planetary Sciences

    • Datum
    • Biodiversity
    • Leaf Area Index
    • Prediction
    • Vegetation
    • Temperate Forest
    • Accuracy
    • Remote Sensing

Organisations

Publications

2024
2022
Remote Sensing-Enabled EBVs Portal for Understanding Terrestrial Ecosystem Dynamics. Neinavaz, E., Darvishzadeh, R., Skidmore, A. K. & Nieuwenhuis, W.Prediction of leaf area index using thermal infrared data acquired by UAS over a mixed temperate forestInternational Journal of Applied Earth Observation and Geoinformation (JAG), 114, Article 103049. Stobbelaar, P., Neinavaz, E. & Nyktas, P.https://doi.org/10.1016/j.jag.2022.103049Investigating the potential of thermal infrared UAS imagery for detecting the health status of pine trees. Gidey Kahsay , A., Neinavaz, E. & Nyktas, P.Thermal infrared airborne hyperspectral data for vegetation land cover classification in a mixed temperate forest, 116-116. Korir, H. K., Neinavaz, E., Skidmore, A. K. & Darvishzadeh, R.Prediction of leaf area index using hyperspectral thermal infrared imagery over the mixed temperate forest. Neinavaz, E., Darvishzadeh, R. & Skidmore, A. K.On the relationship of primary productivity and remotely sensed canopy biophysical variables. Darvishzadeh, R., Neinavaz, E., Huesca Martinez, M., Skidmore, A. K., Nieuwenhuis, W., Fernández, N. & Wårlind, D.https://doi.org/10.5194/egusphere-egu22-10409Remotely sensed vegetation biophysical parameters as proxies for primary productivity estimation. Darvishzadeh, R., Neinavaz, E., Huesca Martinez, M., Nieuwenhuis, W., Fernández, N. & Skidmore, A. K.https://express.converia.de/frontend/index.php?page_id=18446&v=AuthorList&do=17&day=all&q=darvish&entity_id=393612
2021
Author Correction: Priority list of biodiversity metrics to observe from space (Nature Ecology & Evolution, (2021), 5, 7, (896-906), 10.1038/s41559-021-01451-x)Nature Ecology & Evolution, 5(12), 1639. Skidmore, A. K., Coops, N. C., Neinavaz, E., Ali, A., Schaepman, M. E., Paganini, M., Kissling, W. D., Vihervaara, P., Darvishzadeh, R., Feilhauer, H., Fernandez, M., Fernández, N., Gorelick, N., Geijzendorffer, I., Heiden, U., Heurich, M., Hobern, D., Holzwarth, S., Muller-Karger, F. E., … Wingate, V.https://doi.org/10.1038/s41559-021-01527-8

Research profiles

Courses academic year 2023/2024

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Courses academic year 2022/2023

EO 4 DIVERSITY

Earth Observation for Biodiversity Modelling (EO4Diversity) has been funded by the European Space Agency (ESA) in support of EC and ESA joint Flagship Action of Biodiversity and vulnerable ecosystems to advance Earth System Science and its responses to the global challenges. The EO4Diversty aims to contribute to the ESA future EO-1 programme by promoting the Earth Observation (EO) Science for Society element by boosting Europe’s excellence in EO systems, applications, and science. 

Current projects

Finished projects

ESA ESRIN CCI Knowledge

NextGEOSS

https://nextgeoss.eu/

E-shape

Address

University of Twente

Langezijds (building no. 19), room 1114
Hallenweg 8
7522 NH Enschede
Netherlands

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