Jan van Aardt

Associate Professor

Imaging Science Profile
Information Products Laboratory for Emergency Response (IPLER)

Contact Information

OfficeCAR 3124
Phone(585) 475-4229
Emailvanaardt@cis.rit.edu

Mailing Address

Chester F. Carlson Center for Imaging Science
54 Lomb Memorial drive
Rochester
NY, 14623
USA


Dr. Jan van Aardt obtained a BSc Forestry degree (biometry and silviculture specialization) from the University of Stellenbosch, South Africa.  This was followed by a Hons. Forestry degree with a remote sensing and Geographical Information Systems (GIS) specialization, also from the University of Stellenbosch. Jan then completed MS and PhD Forestry degrees at Virginia Polytechnic Institute and State University, Blacksburg, Virginia - these degrees respectively focused on hyperspectral and light detection and ranging (lidar) applications in forestry.  Hyperspectral, lidar, and multi-temporal sensing form the core of his efforts, with various ecosystem and forestry projects, e.g., land quality and global change (multi-temporal), forest and savanna structural assessment using discrete and waveform lidar systems, and estimation of foliar chemistry and vegetation state (hyperspectral). He is an associate professor in the Chester F. Carlson Center for Imaging Science at the Rochester Institute of Technology, following stints at the Katholieke Universiteit Leuven as post-doc and the Council for Scientific and Industrial Research, South Africa, as research group leader.
 

Job Responsibilities

  • Teach undergraduate and graduate courses in remote sensing applications
  • Research end-to-end structural remote sensing solutions for natural resource and built environment applications
  • Perform fundamental research in vegetation system modeling using imaging spectroscopy and lidar modalities
  • Manage research projects and fund raising

Research Interests

Application of imaging spectroscopy and light detection and ranging (lidar) for spectral-structural characterization of natural systems (remote sensing of natural resources)

  • Forestry (vegetation) inventory and assessment
  • Species diversity
  • Foliar biochemistry
  • Scaling of remote sensing estimates

Selected Publications


Refereed journal articles

  1. McGlinchy J., J.A.N. Van Aardt, B.F.N. Erasmus, G.P. Asner, R. Mathieu, K. Wessels, D. Knapp, T. Kennedy-Bowdoin, H. Rhody, J. Kerekes, E. Ientilucci, J. Wu, D. Sarrazin, and K. Cawse-Nicholson, 2014. Extracting Structural Vegetation Components from Small-Footprint Waveform Lidar for Biomass Estimation in Savanna Ecosystems. Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7(2): 480-490.
  2. Fisher J., E. Witkowski, B.F.N. Erasmus, J.A.N. van Aardt, G. Asner, K. Wessels, and R. Mathieu, 2014. Management approaches of conservation areas: differences in woody vegetation structure in a private and national reserve. South African Journal of Botany 90: 146-152.
  3. Romanczyk P., J. van Aardt J., K. Cawse-Nicholson, D. Kelbe, J. McGlinchy, and K. Krause, 2013. Assessing the impact of broadleaf tree structure on airborne full-waveform small-footprint LiDAR signals through simulation. Canadian Journal of Remote Sensing 39 (s1): S60-S72.
  4. Wu J., K. Cawse-Nicholson, and J.A.N. van Aardt, 2013. 3D tree reconstruction from simulated small footprint waveform lidar. Photogrammetric Engineering and Remote Sensing 79(12): 1147-1157.
  5. Mathieu R., L. Naidoo, M.A. Cho, B. Leblon R. Main, K. Wessels, G.P. Asner, J. Buckley, J. van Aardt, B.F.N. Erasmus, and I.P.J. Smit, 2013. Toward structural assessment of semi-arid African savannahs and woodlands: the potential of multitemporal polarimetric RADARSAT-2 fine beam images. Remote Sensing of the Environment 138: 215-231.
  6. Fisher J., E. Witkowski, B.F.N. Erasmus, J.A.N. van Aardt, G. Asner, K. Wessels, and R. Mathieu, 2013. Savanna woody vegetation classification – now in 3D. Applied Vegetation Science (DOI: 10.1111/avsc.12048).
  7. Wessels K.J., Colgan M.S., Erasmus B.F.N., Asner G.P., Twine W.C., Mathieu R., van Aardt J.A.N., Fisher J.T., and I.P.J. Smit, 2013. Unsustainable fuelwood extraction from South African savannas. Environmental Research Letters 8: 014007 (doi:10.1088/1748-9326/8/1/014007; 10pp.).
  8. Cho M.A., Mathieu R., Asner G.P., Naidoo L., van Aardt J., Ramoelo A., Debba P., Wessels K., Main R., Smit I.P.J, and Erasmus B., 2012. Mapping tree species composition in South African savannas using an integrated airborne spectral and LiDAR system. Remote Sensing of Environment 125: 214-226.
  9. Wu J., J.A.N. van Aardt, J. McGlinchy, and G.P. Asner, 2012. A Robust Signal Preprocessing Chain for Small-footprint Waveform LiDAR. IEEE Transactions on Geoscience and Remote Sensing 50(8): 3242-3255.
  10. Fisher J., E. Witkowski, B.F.N. Erasmus, J.A.N. van Aardt, G. Asner, K. Wessels, and R. Mathieu, 2012. Human-modified landscapes: patterns of fine-scale woody vegetation structure in communal savanna rangelands. Environmental Conservation 39(1): 72-82 (doi:10.1017/S0376892911000592; online November 2011).
  11. Sarrazin M.J.D., J. van Aardt, G.P. Asner, J. McGlinchy, D.W. Messinger, and J. Wu, 2011. Fusing small-footprint waveform LiDAR and hyperspectral data for canopy-level species classification and herbaceous biomass modeling in savanna ecosystems. Canadian Journal of Remote Sensing 37(6): 653-665; 10.5589/m12-007.
  12. Gebreslasie M.T., F. B. Ahmed, and J.A.N. van Aardt, 2011. Extracting structural attributes from IKONOS imagery for Eucalyptus plantation forests in KwaZulu-Natal, South Africa, using image texture analysis and artificial neural networks. International Journal of Remote Sensing: DOI:10.1080/01431161.2010.527392; 25p.
  13. Gebreslasie M.T., F. B. Ahmed, J.A.N. van Aardt, and F. Blakeway, 2011. Individual tree detection based on variable and fixed window size local maxima filtering applied to IKONOS imagery for even-aged Eucalyptus plantation forests. International Journal of Remote Sensing 32(15): 4141-4154.
  14. van Aardt J.A.N., D. McKeown, J. Faulring, N. Raqueño, M. Casterline, C. Renschler, R. Eguchi, D. Messinger, R. Krzaczek, S. Cavillia, J. Antalovich Jr., N. Philips, B. Bartlett, C. Salvaggio, E. Ontiveros, and S. Gill, 2011. Geospatial disaster response during the Haiti earthquake: A case study spanning airborne deployment, data collection, transfer, processing, and dissemination. Photogrammetric Engineering and Remote Sensing 77(9): 943-952.
  15. Wu J., J.A.N. van Aardt, and G.P. Asner, 2011. A Comparison of Signal Deconvolution Algorithms Based on Small-Footprint LiDAR Waveform Simulation. IEEE Transactions on Geoscience and Remote Sensing 49(6): 2402-2414.
  16. Roberts J.W., J.A.N. van Aardt, and F.B. Ahmed, 2011. Image fusion for enhanced forest structure assessment.  International Journal of Remote Sensing 32(1): 243-266.
  17. Tesfamichael S.G., F.B. Ahmed, and J.A.N. van Aardt, 2010. Investigating the impact of discrete-return lidar point density on estimations of mean and dominant plot-level tree height in Eucalyptus grandis plantations. International Journal of Remote Sensing 31(11): 2925-2940.
  18. Wessels K.J., Mathieu R., Erasmus B.F.N., Asner G.P., Smit I.P.J., van Aardt J.A.N., Main R., Fisher J., Marais W., Kennedy-Bowdoin T., Knapp D.E., Emerson R., and Jacobson J., 2010. Impact of communal land use and conservation on woody vegetation structure in the Lowveld savannas of South Africa. Forest Ecology and Management  261(1): 19-29.
  19. Cho M.A., Debba P., Mathieu R., Naidoo L., van Aardt J.A.N., G.P. Asner, 2010. Improving discrimination of savanna tree species through a multiple endmember spectral angle mapper approach: Canopy-level analysis. IEEE Transactions on Geoscience and Remote Sensing 48(11): 4133-4142.
  20. Somers B., S. Delalieux, W.W. Verstraeten, J.A.N. van Aardt, G.L. Albrigo, and P. Coppin, 2010. An automated waveband selection technique for optimiz(ed hyperspectral mixture analysis. International Journal of Remote Sensing 31(20): 5549-5568.
  21. Cho M.A., J.A.N. van Aardt, R. Main, B. Majeke, 2010. Evaluating variations of physiology-based hyperspectral features along a soil water gradient in Eucalyptus grandis plantations. International Journal of Remote Sensing  31(12):  3143–3159.
  22. Tesfamichael S.G., F.B. Ahmed, and J.A.N. van Aardt, 2010. Estimating plot-level tree height and volume of Eucalyptus grandis plantations using small-footprint, discrete return lidar data. Progress in Physical Geography  34(4): 515–540.
  23. Gebreslasie M.T., F. B. Ahmed, and J.A.N. van Aardt, 2010. Predicting Forest Structural Attributes using Ancillary Data and ASTER Satellite Data. International Journal of Applied Earth Observation and Geoinformation 12S: S23–S26.
  24. Gebreslasie M.T., F. B. Ahmed, and J.A.N. van Aardt, 2009. Image-based reflectance conversion of ASTER and IKONOS imagery as precursor to structural assessment of plantation forests in KwaZulu-Natal, South Africa. Southern Forests 71(4): 259–265.
  25. Mutanga O., J.A.N. van Aardt, and L. Kumar, 2009. Imaging spectroscopy (hyperspectral remote sensing) in southern Africa: An overview. South African Journal of Science 105: 193-198.
  26. Tesfamichael S.G., F.B. Ahmed, J.A.N. van Aardt, and F. Blakeway, 2009. A semi-variogram approach for estimating stems per hectare in Eucalyptus grandis plantations using discrete-return lidar height data. Forest Ecology and Management 258: 1188–1199.
  27. Delalieux S., B. Somers, W.W. Verstraeten, J.A.N. van Aardt, W. Keulemans, and P. Coppin, 2009. Hyperspectral indices to diagnose leaf biotic stress of apple plants, considering leaf phenology. International Journal of Remote Sensing 30(8): 1887-1912.
  28. Gebreslasie M.T.,  F. B. Ahmed, and J.A.N. van Aardt, 2008. Estimating plot-level forest structural attributes using high spectral resolution ASTER satellite data in even-aged Eucalyptus plantations in southern KwaZulu-Natal, South Africa. Southern Forests 70(3): 227-236.
  29. Majeke B., J.A.N. van Aardt, and M.A. Cho, 2008. Imaging spectroscopy of foliar biochemistry in forestry environments. Southern Forests 70(3): 275–285.
  30. Roberts J.W., J.A.N. van Aardt, and Fethi Ahmed, 2008. Assessment of image fusion procedures using entropy, image quality, and multispectral classification. Journal of Applied Remote Sensing (SPIE) Vol. 2, 023522, [DOI: 10.1117/1.2945910]
  31. van Aardt J.A.N. and M. Norris-Rogers, 2008. Spectral-age interactions in managed, even-aged Eucalyptus plantations: Application of discriminant analysis and classification and regression trees approaches to hyperspectral data. International Journal of Remote Sensing 29(6): 1841-1845.
  32. Roberts J.W, S. Tesfamichael, M. Gebreslasie, J. van Aardt, and F.B. Ahmed, 2007. Forest Structural Assessment using Remote Sensing Technologies: A review of the current state of the art. Southern Forests 89(3): 183-203.
  33. Biliouris D., W. Verstraeten, P. Dutré, J. van Aardt, B. Muys, and Pol Coppin, 2007. A compact laboratory spectro-goniometer (CLabSpeG) to assess the BRDF of materials. Presentation, calibration and implementation on Fagus sylvatica L. leaves. Sensors (7): 1846-1870.
  34. Kempeneers P., P. J. Zarco-Tejada, P. R. J. North, S. De Backer, S. Delalieux, G. Sepulcre-Canto, F. Morales, J. A. N. van Aardt, R. Sagardoy, P. Coppin, and P. Scheunders, 2007. Model inversion robustness under changing viewing conditions for chlorophyll estimation from hyperspectral imagery. International Journal of Remote Sensing 29 (17-18): 5093-5111.
  35. Verbesselt, J., B. Somers, I. Jonckheere, J.A.N. van Aardt, and P. Coppin, 2007. Monitoring herbaceous fuel moisture content with SPOT VEGETATION time-series to improve fire risk assessment in savanna ecosystems. Remote Sensing of Environment 108: 357–368.
  36. van Aardt, J.A.N. and R.H. Wynne, 2007. Examining pine spectral separability using hyperspectral data from an airborne sensor: An extension of field-based results. International Journal of Remote Sensing 28(1-2): 431-436.
  37. van Aardt J.A.N., R.H. Wynne, and J.A. Scrivani, 2008. Lidar-based mapping of forest volume and biomass by taxonomic group using structurally homogenous segments. Photogrammetric Engineering and Remote Sensing 74 (8): 1033-1044 – “2009 ERDAS Award for Best Scientific Paper in Remote Sensing”, ASPRS.
  38. Lhermitte S., J. Verbesselt, K. Nackaerts, I. Jonckheere, J. van Aardt, W. Verstraeten, and P. Coppin, 2006. Hierarchical image segmentation based on similarity of NDVI time series. Remote Sensing of Environment 112: 506-521.
  39. Delalieux S., W. Keulemans, J. van Aardt, I. Jonckheere, E. Schrevens, and P. Coppin, 2006. Detection of biotic stress (Venturia inaequalis) in apple trees using hyperspectral data: Non-parametric statistical approaches and physiological implications. European Journal of Agronomy 27: 130-143.
  40. Van der Zande, D., W. Hoet, I. Jonckheere, J.A.N. van Aardt, and P. Coppin, 2006. Influence of measurement set-up of ground-based LiDAR for derivation of tree structure. Agricultural and Forest Meteorology 141 (2-4): 147-160.
  41. Jonckheere, I., K. Nackaerts, B. Muys, J.A.N. van Aardt, and P. Coppin, 2006. A fractal dimension-based modelling approach for studying the effect of leaf distribution on LAI retrieval in forest canopies. Ecological Modelling 197 (1-2): 179-195.
  42. Verbesselt, J., B. Somers, J.A.N. van Aardt, I. Jonckheere, and P. Coppin, 2006. Monitoring herbaceous biomass and water content with SPOT VEGETATION time-series to improve fire risk assessment in savanna ecosystems. Remote Sensing of Environment 101: 399-414.
  43. Verbesselt, J., P. Jönsson, S. Lhermitte, J.A.N. van Aardt, and P. Coppin, 2006. Evaluating satellite and climate data-derived indices as fire risk indicators in savanna ecosystems. IEEE Transactions on Geoscience and        Remote Sensing 44: 1622-1632.
  44. van Aardt, J.A.N., R.H. Wynne, and R.G. Oderwald, 2006. Forest Volume and Biomass Estimation Using Small-Footprint Lidar-Distributional Parameters on a Per-Segment Basis. Forest Science 52 (6): 636-649.
  45. Biliouris D., K. Vom Berge, J. van Aardt, P. Dutré, B. Muys, Y. Williams, and P. Coppin, 2005. Hyperspectral virtual imaging system of a Fagus sylvatica stand. Communications in Agricultural and Applied Biological Sciences  70(2): 65-68.
  46. Lhermitte, S., J. Verbesselt, J., I. Jonckheere, I., J. van Aardt, and P. Coppin, 2005. Eco-climatic image segmentation based on time series. Communications in Agricultural and Applied Biological Sciences 70(2): 165-168.
  47. Verbesselt, J., B. Somers, S. Lhermitte, J. van Aardt, I. Jonckheere, and P. Coppin, 2005. Fire risk assessment in savanna ecosystems with multi-temporal satellite data. Communications in Agricultural and Applied Biological Sciences 70(2): 23-26.
  48. van Aardt, J.A.N. and R.H. Wynne, 2001. Spectral Separability among Six Southern Tree Species. Photogrammetric Engineering and Remote Sensing 67 (12): 1367-1375
  49. Bortolot, Z.J., C.A. Copenheaver, R.L. Longe, and J.A.N. Van Aardt, 2001.  Development of a white oak chronology using live trees and a post-Civil War cabin in south-central Virginia. Tree-Ring Research 57: 197-203

 

 Conference proceedings - oral presentations (papers or abstracts)

  1. van Aardt J., D. Kelbe,  P. Romanczyk, J. van Aardt, and K. Cawse-Nicholson, 2014. Comparison of diameter retrieval algorithms for single-scan terrestrial lidar. Proceedings of the 2014 IEEE IGARSS Conference; Quebec City, Quebec, Canada; July 14-18, 2014 (Invited). 
  2. Kelbe D., P. Romanczyk, K. Cawse-Nicholson, K. Krause, T. Ramond, and T. Kampe, 2014. Towards extraction of vegetation biophysical parameters from the NEON Airborne Observation Platform (AOP) Waveform Lidar. Proceedings of the 2014 IEEE IGARSS Conference; Quebec City, Quebec, Canada; July 14-18, 2014.
  3. Paynter Ian, Zhan Li, Crystal Schaaf, Alan Strahler, Edward Saenz, Francesco Peri, Glenn Howe, Kuravi Hewawasam, Jason Martel, Ewan Douglas, Supriya Chakrabarti, Timothy Cook, Zhousen Wang, Yan Liu, Shabnam Rouhani, Angela Erb, Michael Schaefer, Glenn Newnham, David Jupp, Jan van Aardt, David Kelbe, Paul Romanczyk, Kerry Cawse-Nicholson, Jason Faulring, Thomas Kampe, Keith, Nathan Leisso, John Armston, Stuart Phinn, Jasmine Muir, and Darius Culvenor, 2014. Augmenting full-waveform dual-wavelength ECHIDNA® lidar (DWEL) with highly-portable canopy biomass lidar (CBL) for forestry assessment and satellite validation. Proceedings of the 2014 IEEE IGARSS Conference; Quebec City, Quebec, Canada; July 14-18, 2014. 
  4. Romanczyk Paul, Jan A van Aardt, Kerry Cawse-Nicholson, David Kelbe, Alan H Strahler, Crystal Schaaf, Keith Krause, and Tanya Ramond, 2013. Quantifying the Attenuation Due to Geometry Interactions in Waveform Lidar Signals. Proceedings: American Geophysics Union (AGU) Annual Fall Meeting; San Francisco, CA (December 9-13, 2013).
  5. Romanczyk P., J. van Aardt, D. Kelbe, K. Cawse-Nicholson, and T. Ramond, 2013. The Effect of Positioning Error on the Repeatability of Small-Footprint Waveform Lidar Signals. Peer-reviewed proceedings: Silvilaser Annual Conference Proceedings, Silvilaser 2013 Annual Conference, Beijing, China, 8p., October 2013.
  6. Cawse-Nicholson K., J. van Aardt, P. Romanczyk, D. Kelbe, K. Krause, and T. Kampe, 2013. A study of energy attenuation due to forest canopy in small-footprint waveform lidar signals. Proceedings: ASPRS 2013 Annual Conference; Baltimore, Maryland (March 24-28, 2013)
  7. Cawse-Nicholson K., J. van Aardt, P. Romanczyk, D. Kelbe, K. Krause, and T. Kampe, 2013. On the scalability of spectral leaf area index metrics. Proceedings: ASPRS 2013 Annual Conference; Baltimore, Maryland (March 24-28, 2013)
  8. Krause K., E. Hinckley, C. Meier, D. Barnett, N. Leisso, T. Kampe, D. Tazik, J. van Aardt, K. Cawse-Nicholson, C. Schaaf, and A. Strahler, 2013. NEON Airborne Observation Platform test flights: Validation of airborne lidar and hyperspectral data. Proceedings: ASPRS Annual Conference, May 1-5, 2011 Milwaukee, Wisconsin.
  9. Kelbe D., P. Romanczyk, J. van Aardt, and K. Cawse-Nicholson, 2013. Reconstruction of 3D tree stem models from low-cost terrestrial laser scanner data. Proceedings: SPIE Defense, Security, and Sensing Conference. April 29-May 3, 2013; Baltimore, Maryland, United States.
  10. Bandyopadhyay M., J.A.N. van Aardt, and K. Cawse-Nicholson, 2013. Classification and Extraction of Trees and Buildings from Urban Scenes Using Discrete Return LiDAR and Aerial Color Imagery. Proceedings: SPIE Defense, Security, and Sensing Conference. April 29-May 3, 2013; Baltimore, Maryland, United States.
  11. Kelbe, D., Romanczyk, P.A., van Aardt, J.A.N., Cawse-Nicholson, K.A., and Krause, K., 2012. Automatic extraction of tree stem models from single terrestrial lidar scans in structurally heterogeneous forest environments. Peer-reviewed proceedings: Silvilaser Annual Conference Proceedings, Silvilaser 2012 Annual Conference: First Return. Vancouver, Canada, pp. 54-61, September 2012.
  12. Romanczyk, P.A., Kelbe, D., van Aardt, J.A.N., Cawse-Nicholson, K.A., McGlinchy, J., and Krause, K., 2012. Assessing the impact of broadleaf tree structure on airborne full-waveform small-footprint LiDAR signals. Peer-reviewed proceedings: Silvilaser Annual Conference Proceedings, Silvilaser 2012 Annual Conference: First Return. Vancouver, Canada, pp. 271-492, September 2012.
  13. Sah S., J.A.N. van Aardt, D.M. McKeown, and D.W. Messinger, 2012. A multi-temporal analysis approach for land cover mapping in support of nuclear incident response. Proceedings of SPIE Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII, May 1, 2012; doi:10.1117/12.919276.
  14. van Aardt J.A.N., J. Wu, J. McGlinchy, K. Wessels, R. Mathieu, T. Kennedy Bowdoin, D. Knapp, and G. Asner, 2012. On Using Discrete Return Lidar Distributions as a Proxy for Waveform Lidar Signals When Modeling Vegetation Structure. Proceedings of 2012 IEEE International Geoscience & Remote Sensing Symposium, July 22-27, 2012, Munich, Germany, 2p.
  15. Wessels K., Erasmus B., Colgan M., Asner G.P., Mathieu R., Twine W., van Aardt J.A.N., and I. Smit, 2012. Impacts of communal fuelwood extraction on lidar-estimated biomass patterns of savanna woodlands. Proceedings of 2012 IEEE International Geoscience & Remote Sensing Symposium, July 22-27, 2012, Munich, Germany, 2p.
  16. Herweg J.A., J.P. Kerekes, O. Weatherbee, D. Messinger, J. van Aardt, E. Ientilucci, Z. Ninkov, J. Faulring, N. Raqueño, and J. Meola, 2012. SpecTIR hyperspectral airborne Rochester experiment data collection campaign. Proceedings: SPIE Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII; Baltimore, Maryland, USA; April 23, 2012.
  17. Kelbe D., J.A.N. van Aardt, B. Erasmus, R. Mathieu, K. Wessels, and G. Asner, 2011. Towards Scale-invariant Aboveground Biomass Estimation in Savanna Ecosystems using Small-footprint Waveform Lidar. Proceedings: ASPRS Annual Conference, May 1-5, 2011 Milwaukee, Wisconsin.
  18. van Aardt J.A.N., Arthur M., Sovkoplas G., and T. Swetnam, 2011. LiDAR-based estimation of forest floor fuel loads using a novel distributional approach. Peer-reviewed proceedings: Silvilaser 2011 - International Conference on Lidar Applications for Assessing Forest Ecosystems, October 16-20, 2011, Hobart, Australia, 8p.
  19. van Aardt J.A.N., J. Wu, J. McGlinchy, D. Sarrazin, D. Kelbe,  B. Erasmus, R. Mathieu, K. Wessels, G. Asner, D. Knapp, and T. Kennedy Bowdoin, 2011. Towards a Species-specific Description of Detailed Savanna Woody structure at Various Scales Using Imaging Spectroscopy and Waveform Lidar Sensing. 34th International Symposium for Remote Sensing of the Environment, Sydney, Australia, April 10-15, 2011.
  20. Labiak, R.C., van Aardt J.A.N., Bespalov D. Eychner D., Wirch E., and Bischof H.P., 2011. Automated method for detection and quantification of building damage and debris using post-disaster LiDAR data. Proceedings of SPIE Conference on Laser Radar Technology and Applications XVI, Orlando, FL, April 27-29, 2011, Volume 8037, Article Number 80370F, DOI: 10.1117/12.883509.
  21. Faulring J.W., McKeown D.M., van Aardt J., Casterline M.V., Bartlett B.D., and Raqueno N., 2011. Supporting Relief Efforts of the 2010 Haitian Earthquake using an Airborne Multi-Modal Remote Sensing Platform. Proceedings of SPIE Conference on Conference on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVII, Orlando, FL, April 25-28, 2011, Volume 8048, Article Number 80480F, DOI: 10.1117/12.883435.
  22. McKeown D., Faulring J., Krzaczek R., Cavilia S., and van Aardt J., 2011. Demonstration of delivery of ortho imagery in realtime for local emergency response. Proceedings of SPIE Conference on Conference on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVII, Orlando, FL, April 25-28, 2011, Volume 8048, Article Number 80480G, DOI: 10.1117/12.884054.
  23. van Aardt J.A.N., J. Wu, and G.P. Asner, 2010. Combining high fidelity simulations and real data for improved small-footprint waveform lidar assessment of vegetation structure. American Geophysics Union Annual Fall Conference, December 13-17, 2010, San Francisco, CA, 1p. (Invited presentation).
  24. Messinger D.W., van Aardt J., McKeown D., Casterline M., Faulring J., Raqueno N., Basener B., and Velez-Reyes M., 2010. High Resolution and LIDAR Imaging Support to the Haiti Earthquake Relief Effort. Proceedings of SPIE Conference on Imaging Spectrometry XV, San Diego, CA, August 2-3, 2010, Volume 7812, Article number 78120L, DOI: 10.1117.12.862090.
  25. van Aardt J.A.N., J. Wu, J. McGlinchy, D. Sarrazin, D. Kelbe, B. Erasmus, R. Mathieu, K. Wessels, and G.P. Asner, 2010. Advancing waveform lidar sensing through improved understanding of complex signals for ecological applications such as structural unmixing, species classification, and biomass estimation. IEEE Geoscience and Remote Sensing Society Western New York Chapter Meeting, November 8, 2010, Rochester, NY. (Invited presentation)
  26. McGlinchy J., J. Van Aardt, H. Rhody, J. Kerekes, E. Ientiluci, G.P. Asner, D. Knapp, R. Mathieu, T. Kennedy-Bowdoin, B.F.N. Erasmus, K. Wessels, I.P.J. Smit, J. Wu, D. Sarrazin, 2010. Extracting Structural Land Cover Components using Small--footprint Waveform Lidar Data. Proceedings of 2010 IEEE International Geoscience & Remote Sensing Symposium, July 25-30, 2010, Honolulu, Hawaii, USA, 4p.
  27. van Aardt J.A.N., D. McKeown, A. Vodacek, S. Duvvuri, A. Pillai, C. Renschler, J. Faulring, H.P. Bischoff, H. Collins, and D. Boyd, 2010. Information Products Laboratory for Emergency Response: Rapid Turnaround Geospatial Disaster Management Products with Fire and Earthquake Response as Case Studies. Proceedings of the 2010 ASPRS Annual Conference, April 26-30, 2010, San Diego, CA, USA, 1p.
  28. van Aardt J.A.N., M. Arthur, G. Carmean, R.L. Kremens, J.W. Faulring, and D. McKeown, 2010. A Sampling Approach to Forest Fuel Load Assessment Across Different Fire Regimes in Eastern Deciduous Forests using Small-footprint Discrete Return Lidar. Proceedings of the 2010 ASPRS Annual Conference, April 26-30, 2010, San Diego, CA, USA, 1p.
  29. van Aardt J.A.N., J. Wu, J. Fisher, B. Erasmus, K. Wessels, R. Mathieu, G.P. Asner, T. Kennedy-Bowdoin, D. Knapp, 2010. Comparing discrete return- to waveform lidar data for vegetation structural assessment: A contemporaneous, small-footprint study in a savanna ecosystem. Proceedings of the 2010 ASPRS Annual Conference, April 26-30, 2010, San Diego, CA, USA, 1p.
  30. Sarrazin D., J.A.N. van Aardt, G.P. Asner, and D.W. Messinger, 2010. Fusing waveform lidar and hyperspectral data for species-level structural assessment in savanna ecosystems. In Proceedings SPIE Defense, Security, and Sensing 7684, 76841H (2010); doi:10.1117/12.849882, April 5-9, 2010, Orlando, Florida, USA, 9p.
  31. van Aardt J.A.N., G.P. Asner, B. Erasmus, B. Somers, D. van der Zande, and S. Delalieux, 2010. See how it grows! …towards integrated sensing of vegetation systems. ASPRS Central New York Chapter Meeting, March 12, 2010, Canandaigua, NY. (Invited presentation)
  32. Wu J., J.A.N. van Aardt, G.P. Asner, T. Kennedy-Bowdoin, D. Knapp, B.F.N. Erasmus, R. Mathieu, K. Wessels, and I.P.J. Smit, 2009. LiDAR waveform-based woody and foliar biomass estimation in savanna environments. Peer-reviewed proceedings: Silvilaser 2009 - 9th International Conference on Lidar Applications for Assessing Forest Ecosystems, October 14-16, 2009, College Station, TX, 10p.
  33. Cho M.A., P. Debba, R. Mathieu, J. van Aardt, Greg Asner, Laven Naidoo, R. Main, A. Ramoelo, and B. Majeke, 2009. Spectral variability within species and its effects on savanna tree species discrimination. Proceedings of 2009 IEEE International Geoscience & Remote Sensing Symposium, July 13-17, 2009, Cape Town, South Africa, 4p.
  34. Cho M.A., J. van Aardt, B. Majeke, R. Main, A. Ramoelo, R. Mathieu, M. Norris-Rogers, and M. du Plessis, 2009. Integrating remote sensing and ancillary data for regional ecosystem assessment: Eucalyptus grandis agro-system in KwaZulu-Natal, South Africa. Proceedings of 2009 IEEE International Geoscience & Remote Sensing Symposium, July 13-17, 2009, Cape Town, South Africa, 4p.
  35. Mathieu R., K. Wessels, G. Asner, D. Knapp, J. van Aardt, R. Main, M. Cho, B. Erasmus, and I. Smit, 2009. , Fractional cover and structural variations along a land use degradation gradient in savannas in and around the Kruger National Park, South Africa. Proceedings of 2009 IEEE International Geoscience & Remote Sensing Symposium, July 13-17, 2009, Cape Town, South Africa, 4p.
  36. Fisher J., B.F.N. Erasmus, E. Witkowski, J. van Aardt, G. Asner, T. Kennedy-Bowdoin, D. Knapp, R. Mathieu, and K. Wessels, 2009. Three-dimensional woody vegetation structure across land-use intensities in a semi-arid savanna. Proceedings of 2009 IEEE International Geoscience & Remote Sensing Symposium, July 13-17, 2009, Cape Town, South Africa, 4p.
  37. Smit I.P.J., N. Govendor N., S.R. Levick., T. Kennedy-Bowdoin, D.E. Knapp, R. Emerson, J. Jacobson, R. Mathieu, K.J. Wessels, B.F.N. Erasmus, J.A.N. van Aardt, 2009. Fire as a browser: Using lidar to visualise and quantify woody structure on a long-term fire experiment in an African savanna. Proceedings of 2009 IEEE International Geoscience & Remote Sensing Symposium, July 13-17, 2009, Cape Town, South Africa, 2p.
  38. Wu J., J.A.N. van Aardt, G. P. Asner, R. Mathieu, T. Kennedy-Bowdoin, D. Knapp, K. Wessels, B.F.N. Erasmus, and I. Smit, 2009. Connecting the dots between laser waveforms and herbaceous biomass for assessment of land degradation using small-footprint waveform lidar data. Proceedings of 2009 IEEE International Geoscience & Remote Sensing Symposium, July 13-17, 2009, Cape Town, South Africa, 4p.
  39. Roberts J.W., F.B. Ahmed, and J. van Aardt, 2009. A data-fusion based semi-automatic tree counting algorithm for use in Eucalyptus grandis plantations. Proceedings of 2009 IEEE International Geoscience & Remote Sensing Symposium, July 13-17, 2009, Cape Town, South Africa, 2p.
  40. Gebreslasie M. T., F.B. Ahmed, Jan A.N. van Aardt, 2009. Extracting Forest Structural Attributes in South Africa using Image texture Analysis and Artificial Neural Networks from IKONOS Imagery, Proceedings of the 33rd International Symposium on Remote Sensing of Environment, May 4-8, 2009, Stresa, Italy, 4p.
  41. Cho M.A., J, van Aardt. B. Majeke, and R. Main, 2008. Evaluating the seasonality of remote sensing indicators of system state for Eucalyptus grandis growing on different site qualities. Proceedings of 2008 IEEE International Geoscience & Remote Sensing Symposium, July 6-11, 2008, Boston, Massachusetts, U.S.A.
  42. Roberts J.W., Van Aardt J., and F.B. Ahmed,  2009. Medium resolution image fusion, does it enhance forest structure assessment. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVII, Part B8, Beijing, China, 3-11 July 2008. pp 1053-1058
  43. Main R., Cho M., van Aardt J., and B. Majeke, 2008. A comparison between sensors with different spectral resolutions, relative to the Sumbandila satellite, for assessing site quality differences in Eucalyptus grandis plantations. Proceedings: 14th Australasian Remote Sensing and Photogrammetry Conference, September 29-October 3, 2008, Darwin, Australia, 11 p.
  44. van Aardt J.A.N. and M. Norris-Rogers, 2007. Investigating species specific spectral-age interactions in managed, even-aged Eucalyptus plantations using hyperspectral data. 5th EARSeL Workshop on Imaging Spectroscopy. Brugge, Belgium, April 23-25, 2007.
  45. van Aardt J.A.N., W. Roberts, M. Gebreslasie, and S. Tesfamichael, 2007. Investigating structural-spectral interactions in managed, even-aged Eucalyptus plantations using lidar and multispectral high resolution data. Proceedings: SPIE Remote Sensing in Ecosystems and Agriculture Conference, Florence, Italy, September 19-20, 2007, 12p. (digital)
  46. van Aardt J.A.N. and M. Norris-Rogers, 2007. Investigating species specific spectral-site-age interactions in managed, even-aged Eucalyptus plantations using hyperspectral data. Proceedings: EARSEL Imaging Spectroscopy Workshop, Brugge, Belgium, April 23-25, 2007, 9p. (digital)
  47. Delalieux S., Jan A.N. van Aardt, Pablo J. Zarco-Tejada, Pieter Kempeneers, Willem W. Verstraeten, and Pol Coppin, 2007. Development of robust hyperspectral indices for the detection of deviations from normal plant state. Peer-reviewed proceedings: 5th EARSeL Workshop on Imaging Spectroscopy. Bruges, Belgium, April 23-25 2007 13p.
  48. van Aardt J.A.N. and R.H. Wynne, 2006. Segment-based forest volume-by-type modelling using small-footprint lidar height distributions. Proceedings: IUFRO International Precision Forestry Symposium, Stellenbosch, South Africa, 5 - 10 March 2006.
  49. van Aardt J.A.N. and R.H. Wynne, 2006. Segment-based forest volume-by-type modelling using small-footprint lidar height distributions. IUFRO International Precision Forestry Symposium, Stellenbosch, South Africa, 5 - 10 March 2006.
  50. van Aardt J.A.N. and P. Coppin, 2006. Current state and potential of the IS-HS project – integration of in situ data and hyperspectral remote sensing for plant production modelling. IUFRO International Precision Forestry Symposium, Stellenbosch, South Africa, 5 - 10 March 2006.
  51. van Aardt J.A.N. and P. Coppin, 2006. Current state and potential of the IS-HS project – integration of in situ data and hyperspectral remote sensing for plant production modelling. Proceedings: IUFRO International Precision Forestry Symposium, Stellenbosch, South Africa, 5 - 10 March 2006.
  52. Verbesselt J., S. Van der Linden, S. Lhermitte, I. Jonckheere, J. van Aardt and P. Coppin. 2006. Monitoring vegetation water content of grasslands and forest plantations to assess forest fire risk with satellite time-series. Forest Ecology and Management. Volume 234, Supplement 1, 15 November 2006, Page S25.
  53. Lhermitte S., J.A.N. van Aardt, and P. Coppin, 2005. Development of indicators of burning efficiency based on time series of SPOT VEGETATION data. Third International Workshop on the Analysis of Multi-temporal Remote Sensing Images (MULTITEMP), Biloxi, Mississippi, USA, May 16-18 2005.
  54. Wynne R.H. and J.A.N. van Aardt, 2005. An Object-oriented Approach to Volume and Aboveground Biomass Modeling Using Height Distributions from Small-footprint Lidar Data. American Society for Photogrammetric Engineering and Remote Sensing Conference, Baltimore, MD, USA, March 7-11, 2005
  55. Delalieux S., W. Keulemans, J.A.N. van Aardt, E. Schrevens, and P. Coppin, 2005. Detection of natural and stress-induced variability in reflectance spectra of apple trees using hyperspectral analysis. Proceedings: SPIE Europe International Symposium on Remote Sensing, Brugge, Belgium, September 19-22, 2005. 12 p. (digital)
  56. Biliouris D., K. vom Berge, J.A.N. van Aardt, P. Dutre, B. Muys, Y. Williams, and P. Coppin, 2005. Hyperspectral virtual imaging system of a Fagus sylvatica stand. Proceedings: SPIE Europe International Symposium on Remote Sensing, Brugge, Belgium, September 19-22, 2005. 10 p. (digital)
  57. Van der Zande D., W. Hoet, J.A.N. van Aardt, and P. Coppin, 2005. Multidirectional laser measurement of three-dimensional tree structure. Proceedings: SPIE Europe International Symposium on Remote Sensing,        Brugge, Belgium, September 19-22, 2005. 10 p. (digital)
  58. Verbesselt J., B. Somers, S. Lhermitte, J.A.N. van Aardt, I. Jonckheere, and P. Coppin, 2005. Estimating vegetation dryness to optimize fire risk assessment with SPOT VEGETATION satellite data in savanna ecosystems. Proceedings: SPIE Europe International Symposium on Remote Sensing, Brugge, Belgium, September 19-22, 2005. 9 p. (digital)
  59. Lhermitte S., M. Tips, J. Verbesselt, I. Jonckheere, J.A.N. Van Aardt, and Pol Coppin, 2005. Development of indicators of vegetation recovery based on time series analysis of SPOT VEGETATION data. Proceedings: SPIE Europe International Symposium on Remote Sensing, Brugge, Belgium, September 19-22, 2005. 10 p. (digital)
  60. Delalieux S., J.A.N. van Aardt, W. Keulemans, and Pol Coppin, 2005. Detection of biotic stress (Venturia inaequalis) in apple trees using hyperspectral analysis. Proceedings: 4th Workshop on Imaging Spectroscopy, (EARSEL), Warsaw, Poland, April 27-29, 2005. 14 p. (digital)
  61. Biliouris S., K. vom Berge, J.A.N. van Aardt, B. Muys, and P. Coppin. Hyperspectral bidirectional reflectance measurements of Fagus sylvatica leaves. Proceedings: 4th Workshop on imaging Spectroscopy, (EARSEL), Warsaw, Poland, April 27-29, 2005. 13 p. (digital)
  62. van Aardt J.A.N. and R.H. Wynne, 2004.  A Multiresolution Approach to Forest Segmentation as a Precursor to Estimation of Volume and Biomass by Species.  American Society for Photogrammetric Engineering and Remote Sensing Annual Conference, Denver, CO, USA, May 24-28, 2004
  63. van Aardt J.A.N. and R.H. Wynne, 2004. A Multiresolution Approach to Forest Segmentation as a Precursor to Estimation of Volume and Biomass by Species.  Proceedings: American Society of Photogrammetric Engineering and Remote Sensing 2004 Annual Conference.  Denver, Colorado, USA, May 24-28, 2004. 9 p. (digital)
  64. van Aardt J.A.N. and R.H. Wynne, 2004.  Combining High-Density Lidar Data with High Spatial Resolution Hyperspectral Imagery to Estimate Coniferous and Deciduous Forest Volume and Biomass by Species:  Towards an Object-Oriented Approach.  Virginia Tech Office of GIS and Remote Sensing; 2004 Annual Conference, Blacksburg, Virginia, USA, April 9, 2004
  65. van Aardt J.A.N. and R.H. Wynne, 2003.  Extending Inherent Pine Spectral Separability to Operational Data:  A Case Study in the Virginia Piedmont.  International Symposium on Spectral sensing Research, Santa Barbara, California, USA, June 2-6, 2003
  66. van Aardt J.A.N. and R.H. Wynne, 2003. Forest Structural and Spectral Segmentation Using Lidar and Hyperspectral Data – Singular and Fused Data Set Approaches.  American Society for Photogrammetric Engineering and Remote Sensing Annual Conference, Anchorage, Alaska, USA, May 5-9, 2003
  67. van Aardt J.A.N. and R.H. Wynne, 2003. Extending Inherent Pine Spectral Separability to Operational Data:  A Case Study in the Virginia Piedmont.  Proceedings: 2003 International Symposium on Spectral Sensing Research.  Santa Barbara, CA, USA, June 2-6, 2003.  7 p. (digital)
  68. van Aardt, J.A.N. and R.H. Wynne, 2000.  Spectral Differentiability among Six Southern Forestry Species.  Proceedings: American Society of Photogrammetric Engineering and Remote Sensing 2000 Annual Conference.  Washington D.C., USA, May 22-26, 2000. 10 p. (digital)
  69. Kempeneers P., S. De Backer, P. J. Zarco-Tejada, S. Delalieux, G. Sepulcre-Cantó, F. Morales Iribas, Ruth Sagardoy, J.A.N. van Aardt, P. Coppin, P. Scheunders, 2006. Chlorophyll retrieval from canopy reflectance over orchards using hyperspectral techniques. RAQRS’II – 2nd International Symposium on Recent Advances in Quantitative Remote Sensing, September 25-29, 2006, Valencia, Spain.
  70. Delalieux S., P. Kempeneers, S. De Backer, P. J. Zarco-Tejada, G. Sepulcre-Cantó, R. Sagardoy, F. Morales Iribas, J. van Aardt, P. Coppin, and P. Scheunders, 2006. Modeling biochemical processes in orchards at leaf- and canopy-level using hyperspectral data. Belgium Science Policy Office Hyperspectral (Bruhyp) Annual Conference, October 2006, Brugge, Belgium.

 

 Conference proceedings - poster presentations

  1. Paynter Ian, Edward Saenz, Francesco Peri, Crystal Schaaf, Jan van Aardt, Jennifer Bowen, and Bob Chen, 2014. Characterizing structural properties of coastal systems with hyper-portable ground-based lidar. Proceedings of the 2014 IEEE IGARSS Conference; Quebec City, Quebec, Canada; July 14-18, 2014.
  2. Paynter Ian, Edward Saenz, Francesco Peri, Crystal Schaaf, Zhuosen Wang, Angela Erb, Yun Yang, Shabnam Rouhani, Yan Liu, Xiaoyuan Yang, Robert F Chen, Sarah Oktay, Allen M Gontz, Ellen Marie Douglas, JiHyun Kim, Qingsong Sun, Alan H Strahler, Zhan Li, Jan A van Aardt, David Kelbe, Paul Romanczyk, and Kerry Cawse-Nicholson, 2013. Coastal Applications of the Canopy Biomass Lidar (CBL). Proceedings: American Geophysics Union (AGU) Annual Fall Meeting; San Francisco, CA (December 9-13, 2013).
  3. Cawse-Nicholson Kerry, Jan A van Aardt, Paul Romanczyk, David Kelbe, Madhurima Bandyopadhyay, Wei Yao, Keith Krause, and Thomas U Kampe, 2013. The Effect of Lidar Point Density on LAI Estimation. Proceedings: American Geophysics Union (AGU) Annual Fall Meeting; San Francisco, CA (December 9-13, 2013).
  4. Schaaf Crystal, Ian Paynter, Edward Saenz, Francesco Peri, Zhuosen Wang, Angela Erb, Xiaoyuan Yang, Alan H Strahler, Zhan Li, Jan A van Aardt, David Kelbe, Paul Romanczyk, Kerry Cawse-Nicholson, Keith Krause, Nathan Leisso, Thomas U Kampe, Courtney L Meier, Cory Ritz, Supriya Chakrabarti, Timothy Cook, Glenn Howe, Jason Martel, Kuravi Hewawasam, Ewan S Douglas, Glenn Newnham, Michael Schaefer, John Armston, Jasmine Muir, Dan Tindall, and Stuart R Phinn, 2013. Canopy Biomass Lidar (CBL) Acquisitions at NEON and TERN Forest Sites. Proceedings: American Geophysics Union (AGU) Annual Fall Meeting; San Francisco, CA (December 9-13, 2013).
  5. Musinsky John, Leah A Wasser, Thomas U Kampe, Nathan Leisso, Keith Krause, Shelley Bougan Petroy, Kerry Cawse-Nicholson, Jan A van Aardt, and Shawn Serbin, 2013. Developing a Scalable Remote Sampling Design for the NEON Airborne Observation Platform (AOP). Proceedings: American Geophysics Union (AGU) Annual Fall Meeting; San Francisco, CA (December 9-13, 2013).
  6. van Aardt J.A.N., Mary Arthur, Tyson Swetnam, and Brent Mitchell, 2013. Validating a novel lidar distributional approach for forest floor fuel load mapping: Eastern hardwoods vs. western spruce-fir environments. Proceedings: American Geophysics Union (AGU) Annual Fall Meeting; San Francisco, CA (December 9-13, 2013).
  7. Kampe Thomas, Nathan Leisso, Keith Krause, John Musinsky, Shelley Bougan Petroy, Leah A Wasser, Kerry Cawse-Nicholson, Jan A van Aardt, Crystal Schaaf, Alan H Strahler, and Shawn Paul Serbin, 2013. NEON Collaborative Data Collection Campaign at Pacific South West Site in California. Proceedings: American Geophysics Union (AGU) Annual Fall Meeting; San Francisco, CA (December 9-13, 2013).
  8. Kelbe, D.; Romanczyk, P.A.; van Aardt, J.A.; Cawse-Nicholson, K.A., Marker-free registration of terrestrial laser scanner data for forestry applications, Silvilaser, 13th Annual Silvilaser Conference, Beijing, China, China (2013)
  9. van Aardt J.A.N. and Wynne R.H., 2002. Forest biomass estimation using small footprint lidar and hyperspectral data: Exploring data fusion approaches for biomass by species estimation. IUFRO Symposium on Statistics and Information Technology in Forestry, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA, September 8-12, 2002
  10. van Aardt J.A.N. and R.H. Wynne, 2002. Forest biomass estimation using small footprint lidar: Exploring approaches that might obviate the necessity of a priori derivation of a DTM. Workshop: Office of GIS and Remote Sensing – Virginia Tech, Roanoke, VA, USA, March 13, 2002
  11. van Aardt J.A.N. and R.H. Wynne, 2000. Spectral Separability among Three Pine Species. ERIM 2nd International Conference on Geospatial Information in Agriculture and Forestry. Lake Buena Vista, FL, USA, January 10-12, 2000

 

 Book Chapters

  1.  Kunneke A., J. van Aardt J., W. Roberts, and T. Seifert, 2014. Localisation of Biomass Potentials. In: Bioenergy from Wood: Sustainable Production in the Tropics, Managing Forest Ecosystems 26; DOI 10.1007/978-94-007-7448-3_2; Seifert, Thomas (Ed.); Springer, Dordrecht; 250p.
  2. van Aardt, J.A.N, R. Mathieu, M. Cho, K. Wessels, B. Erasmus, G.P. Asner, and I.P.J. Smit, 2011. Assessing degradation across a land use gradient in the Kruger National Park area using advanced remote sensing modalities. In: Earth Observation and Environmental Change in South Africa, South African Environmental Observation Network (SAEON), Zietsman L. (ed), (pp. 97-103), SUN Press, Stellenbosch, South Africa, 304p. 
  3. van Aardt, J.A.N., I. Kotze, M. Cho, R. Mathieu, and M. Norris-Rogers, 2011. Species-level classification using imaging spectroscopy for the detection of invasive alien species. In: Earth Observation and Environmental Change in South Africa, South African Environmental Observation Network (SAEON), Zietsman L. (ed), (pp. 147-153), SUN Press, Stellenbosch, South Africa, 304p.
  4. van Aardt, J.A.N., M. Cho, R. Main, R. Mathieu, B. Somers, M. Norris-Rogers, S. Verreynne, W. Verstraeten, and P. Coppin, 2011. Ecosystems: Case studies in capital intensive crops towards system modeling of ecosystems using integrated hyperspectral remote sensing and in situ inputs. In: Earth Observation and Environmental Change in South Africa, South African Environmental Observation Network (SAEON), Zietsman L. (ed), (pp. 116-123), SUN Press, Stellenbosch, South Africa, 304p.
  5. van Aardt J.A.N., M. Vogel, W. Lück, and John D. Althausen, 2010. Remote sensing systems for operational and research use. In: Manual of Geospatial Science and Technology, Bossler J.D. (Ed.), CRC Press, Taylor & Francis, New York, 808p.
  6. Verbesselt, J., P. Jönsson, S. Lhermitte, I. Jonckheere, J.A.N. van Aardt, and P. Coppin, 2006. Relating time-series of meteorological and remote sensing indices to monitor vegetation moisture dynamics. In: Chen C.H. (Ed.), Signal and image processing for remote sensing (pp. 153-173). CRC press, University of Massachusetts, Dartmouth, USA.
  7. Kempeneers P., De Backer S., Zarco-Tejada P.J., Delalieux S., Sepulcre-Canto G., Iribas F.M., van Aardt J., Coppin P., and Scheunders P., 2006. Stress detection in orchards with hyperspectral remote sensing data. Remote Sensing for Agriculture, Ecosystems, and Hydrology VIII Book Series: Proceedings of the Society of Photo-Optical Instrumentation Engineers, Vol. 6359: U242-U251.