Expertises
Canopy
Effect
Method
Ndvi
Index
Landsat
Remote Sensing
Distribution
Faculteit Geo-Informatie Wetenschappen en Aardobservatie (ITC), Department of Natural Resources (NRS)Nevenactiviteiten
-
Macquarie University, Australia
part time Professor in Spatial Sciences
Publicaties
Recent
Zhu, X., Skidmore, A. K., Darvishzadeh, R., & Wang, T. (2019). Estimation of forest leaf water content through inversion of a radiative transfer model from LiDAR and hyperspectral data. International Journal of Applied Earth Observation and Geoinformation, 74, 120-129. DOI: 10.1016/j.jag.2018.09.008
Zhu, X., Skidmore, A. K., Wang, T., Liu, J., Darvishzadeh, R., Shi, Y., ... Heurich, M. (2018). Improving leaf area index (LAI) estimation by correcting for clumping and woody effects using terrestrial laser scanning. Agricultural and forest meteorology, 263, 276-286. DOI: 10.1016/j.agrformet.2018.08.026
Wang, Z., Skidmore, A. K., Darvishzadeh, R., & Wang, T. (2018). Mapping forest canopy nitrogen content by inversion of coupled leaf-canopy radiative transfer models from airborne hyperspectral imagery. Agricultural and forest meteorology, 253-254, 247-260. DOI: 10.1016/j.agrformet.2018.02.010
Lausch, A., Bastian, O., Klotz, S., Leitão, P. J., Jung, A., Rocchini, D., ... Knapp, S. (2018). Understanding and assessing vegetation health by in situ species and remote-sensing approaches. Methods in ecology and evolution, 9(8), 1799-1809. [MEE313025]. DOI: 10.1111/2041-210X.13025
Hally, B., Wallace, L., Reinke, K., Jones, S. D., Engel, C., & Skidmore, A. K. (2018). Estimating Fire Background Temperature at a Geostationary Scale—An Evaluation of Contextual Methods for AHI-8. Remote sensing, 10(9), 1-29. [1368]. DOI: 10.3390/rs10091368
Abdullah, H., Skidmore, A. K., Darvishzadeh, R., & Heurich, M. (2018). Sentinel-2 accurately maps green-attack stage of European spruce bark beetle ( Ips typographus , L.) compared with Landsat-8. Remote sensing in ecology and conservation, 1-21. DOI: 10.1002/rse2.93
Rocha, A., Groen, T. A., Skidmore, A. K., Darvishzadeh, R., & Willemen, L. (2018). Machine Learning Using Hyperspectral Data Inaccurately Predicts Plant Traits Under Spatial Dependency. Remote sensing, 10(8), 1263. DOI: 10.3390/rs10081263
Gara, T. W., Darvishzadeh, R., & Skidmore, A. K. (2018). Seasonal Retrieval of leaf traits across canopy using PROSPECT model. s1-s10. 3rd Bavaria_Sumava Forest Data Pool Meeting 2018, Sumava Forest National Park, Czech Republic.
Liu, M., Liu, X., Skidmore, A. K., & Wang, T. (2018). Identifying multiple stressors in regional agro-ecosystems based on Sentinel-2 spectral indices time series. In IEEE International Geoscience and Remote Sensing Symposium : Observing, Understanding and Forecasting the Dynamics of Our Planet (pp. 1218-1221). IEEE Press.
Liu, J., Skidmore, A. K., Wang, T., Zhu, X., Premier, J., Heurich, M., & Beudert, B. (2018). Measuring leaf angle distribution using terrestrial laser scanning in a European Beech forest. In IGARSS 2018 : IEEE International Geoscience and Remote Sensing Symposium : Observing, Understanding and Forecasting the Dynamics of Our Planet (pp. 8977-8980). IEEE Press.
Pure Link
Contactgegevens
Bezoekadres
Universiteit Twente
Faculteit Geo-Informatie Wetenschappen en Aardobservatie
ITC
(gebouwnr. 75), kamer 4-149
Hengelosestraat 99
7514AE Enschede
Postadres
Universiteit Twente
Faculteit Geo-Informatie Wetenschappen en Aardobservatie
ITC
4-149
Postbus 217
7500 AE Enschede