prof.dr. A.K. Skidmore (Andrew)

Canopy

Effect

Index

Ndvi

Water Content

Distribution

Landsat

Remote Sensing

Faculteit Geo-Informatie Wetenschappen en Aardobservatie (ITC), Department of Natural Resources (NRS)

Macquarie University, Australia
part time Professor in Spatial Sciences

Buchanan, G. M., Beresford, A. E., Hebblewhite, M., Escobedo, F. J., de Klerk, H. M., Donald, P. F., ... Wich, S. (2018). Free satellite data key to conservation. Science, 361(6398), 139-140.

Hally, B., Wallace, L., Reinke, K., Jones, S., & Skidmore, A. K. (2018). Advances in active fire detection using a multi-temporal method for next-generation geostationary satellite data. International journal of digital earth, 1-16. DOI: 10.1080/17538947.2018.1497099

Wang, T., Panthi, S., Sun, Y., & Skidmore, A. K. (2018). Assessment of PROBA-V 100m NDVI products for modelling wildlife species distribution at a local scale : powerpoint. ESA Proba-V Symposium, Ostend, Belgium.

Wang, T., Lv, Y., Sun, Y., Skidmore, A. K., Seifert, L., & Heurich, M. (2018). Mapping mires using multi-source remote sensing and GIS data - a case study in Bavarian Forest National Park : powerpoint.

Amiri, N., Polewski, P., Heurich, M., Krzystek, P., & Skidmore, A. K. (2018). Adaptive stopping criterion for top-down segmentation of ALS point clouds in temperate coniferous forests. ISPRS journal of photogrammetry and remote sensing, 141, 265-274. DOI: 10.1016/j.isprsjprs.2018.05.006

Shi, Y., Skidmore, A. K., Wang, T., Holzwarth, S., Heiden, U., Pinnel, N., ... Heurich, M. (2018). Tree species classification using plant functional traits from LiDAR and hyperspectral data. International Journal of Applied Earth Observation and Geoinformation, 73, 207-219. DOI: 10.1016/j.jag.2018.06.018

Khosravifard, S., Venus, V., Skidmore, A. K., Bouten, W., Munoz, A. R., & Toxopeus, A. G. (2018). Identification of Griffon Vulture's Flight Types Using High-Resolution Tracking Data. International journal of environmental research, 12(3), 313-325. DOI: 10.1007/s41742-018-0093-z

Amiri, N., Heurich, M., Krzystek, P., & Skidmore, A. K. (2018). Feature Relevance Assessment Of Multispectral Airborne Lidar Data For Tree Species Classification. In J. Jiang, A. Shaker, & H. Zhang (Eds.), International Archives of Photogrammetry and Remote Sensing, ISPRS TC III Mid-term symposium : Developments, technologies and applications in Remote Sensing, 7-10 May, Beijing, China (Vol. XLII-3, pp. 31-34). (ISPRS Archives). International Society for Photogrammetry and Remote Sensing (ISPRS). DOI: 10.5194/isprs-archives-XLII-3-31-2018

Liu, M., Wang, T., Skidmore, A. K., & Liu, X. (2018). Heavy metal-induced stress in rice crops detected using multi-temporal Sentinel-2 satellite images. Science of the total environment, 637-638, 18-29. DOI: 10.1016/j.scitotenv.2018.04.415

Wan, P., Zhang, W., Skidmore, A. K., Qi, J., Jin, X., Yan, G., & Wang, T. (2018). A simple terrain relief index for tuning slope-related parameters of LiDAR ground filtering algorithms. ISPRS journal of photogrammetry and remote sensing. DOI: 10.1016/j.isprsjprs.2018.03.020

Naar mijn profiel

+31534874276

+31534874240 (bij geen gehoor)

a.k.skidmore@utwente.nl