Expertise

  • Earth and Planetary Sciences

    • Datum
    • Biodiversity
    • Vegetation
    • Prediction
    • Leaf Area Index
    • Emissivity
    • Temperate Forest
    • Accuracy

Organisations

Publications

2024

Comparison of functional and structural biodiversity using Sentinel-2 and airborne LiDAR data in agroforestry systems (2024)Remote Sensing Applications: Society and Environment, 35(101252). Article 101252. Zhu, X., Luleva, M., van Helfteren, S. P., Gou, Y., Gajda, W. & Neinavaz, E.https://doi.org/10.1016/j.rsase.2024.101252Quantifying Canopy Nitrogen Content in a Soil-Acidified Temperate Forest Using Image Spectroscopy (2024)[Contribution to conference › Abstract] 13th EARSeL Workshop on Imaging Spectroscopy 2024. Abdullah, H., Skidmore, A. K., Siegenthaler, A., Darvishzadeh, R., Neinavaz, E., Torres Rodriguez, A. & Duan, Y.Comparing Forest Species Emissivity Using Airborne Thermal Infrared Hyperspectral data in a Mixed Temperate Forest (2024)[Contribution to conference › Abstract] 13th EARSeL Workshop on Imaging Spectroscopy 2024. Korir, H. K., Neinavaz, E., Darvishzadeh, R. & Skidmore, A. K.Forest soils further acidify in core Natura 2000 areas amongst unaware government policy (2024)Ecological indicators, 159. Article 111621. Skidmore, A. K., Abdullah, H., Siegenthaler, A., Adiningrat, D. P., Rousseau, M., Duan, Y., Torres Rodriguez, A. & Neinavaz, E.https://doi.org/10.1016/j.ecolind.2024.111621

2022

Remote Sensing-Enabled EBVs Portal for Understanding Terrestrial Ecosystem Dynamics (2022)[Contribution to conference › Abstract] EuroGEO workshop 2022. 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 forest (2022)International 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 (2022)[Contribution to conference › Abstract] 12th EARSeL Workshop on Imaging Spectroscopy 2022. Gidey Kahsay , A., Neinavaz, E. & Nyktas, P.Thermal infrared airborne hyperspectral data for vegetation land cover classification in a mixed temperate forest (2022)[Contribution to conference › Abstract] 12th EARSeL Workshop on Imaging Spectroscopy 2022. 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 (2022)[Contribution to conference › Abstract] 12th EARSeL Workshop on Imaging Spectroscopy 2022. Neinavaz, E., Darvishzadeh, R. & Skidmore, A. K.On the relationship of primary productivity and remotely sensed canopy biophysical variables (2022)[Contribution to conference › Abstract] EGU General Assembly 2022. Darvishzadeh, R., Neinavaz, E., Huesca Martinez, M., Skidmore, A. K., Nieuwenhuis, W., Fernández, N. & Wårlind, D.https://doi.org/10.5194/egusphere-egu22-10409

Research profiles

Courses academic year 2024/2025

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 2023/2024

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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