dr. E. Neinavaz (Elnaz)

Assistant Professor
ITC-NRS
Langezijds 1114
e.neinavaz@utwente.nl
+31534891326
Business card

Expertise

  • Earth and Planetary Sciences

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

Organisations

Publications

2024
Comparison of functional and structural biodiversity using Sentinel-2 and airborne LiDAR data in agroforestry systems, 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. 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. Korir, H. K., Neinavaz, E., Darvishzadeh, R. & Skidmore, A. K.Forest soils further acidify in core Natura 2000 areas amongst unaware government policy, 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. 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, 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-egu22-10409

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

EO4ALL

EO4ALL

Inclusive Earth Observation for all (EO4all) is a working group started by women academics in EO science at ITC. The working group aims are to enhance ITC's visibility in the EO community and policy fields, advance EO science, benefit from new policies related to gender equality (inclusion) and diversity and enrich student and project acquisitions from new partnerships and target groups.

Earth Observation for Biodiversity Modelling

EO4DIVERSITY

The main objective of EO4Diversity is to predict and monitor biodiversity in terrestrial ecosystems using an innovative approach that integrates for the first time the scientific strengths of high-resolution multi-sensor Earth Observation imagery and products from next-generation ecological models. The project addresses important biodiversity science gaps, including forecasting ecological degradation in order to define effective actions to reduce terrestrial biodiversity loss, as well as filling data gaps, knowledge gaps, and gaps in the data-policy link, which may lead to a disconnection of biodiversity data and policy strategies.

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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