Expertises

  • Earth and Planetary Sciences

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

Organisaties

Publicaties

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

Onderzoeksprofielen

Vakken collegejaar 2024/2025

Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.

Vakken collegejaar 2023/2024

Lopende projecten

EO4ALL

EO4DIVERSITY

Voltooide projecten

ESA ESRIN CCI Knowledge

NextGEOSS

E-shape

Adres

Universiteit Twente

Langezijds (gebouwnr. 19), kamer 1114
Hallenweg 8
7522 NH Enschede

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