Jan van Aardt Headshot

Jan van Aardt

Professor
Chester F. Carlson Center for Imaging Science
College of Science

585-475-4229
Office Location
Office Mailing Address
CIS-LIAS Building 17-3173

Jan van Aardt

Professor
Chester F. Carlson Center for Imaging Science
College of Science

Education

BSc, University of Stellenbosch (South Africa); MS, Ph.D., Virginia Polytechnic Institute and State University

Bio

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 Ph.D. Forestry degrees at Virginia Polytechnic Institute and State University, Blacksburg, Virginia - these degrees respectively focused on imaging spectroscopy (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.

585-475-4229

Currently Teaching

IMGS-632
3 Credits
This course will focus on a broader selection of analytical techniques with an application-centric presentation. These techniques include narrow-band indices, filtering in the spatial and frequency domains, principal component analysis, textural analysis, hybrid and object-oriented classifiers, change detection methods, and structural analysis. All of these techniques are applied to assessment of natural resources. Sensing modalities include imaging spectroscopy (hyperspectral), multispectral, and light detection and ranging (lidar) sensors. Applications such as vegetation stress assessment, foliar biochemistry, advanced image classification for land use purposes, detecting change between image scenes, and assessing topography and structure in forestry and grassland ecosystems (volume, biomass, biodiversity) and built environments will be examined. Real-world remote sensing and field data from international, US, and local sources are used throughout this course. Students will be expected to perform a more comprehensive final project and homework assignments, including literature review and discussion and interpretation of results.
IMGS-790
1 - 6 Credits
Masters-level research by the candidate on an appropriate topic as arranged between the candidate and the research advisor.
IMGS-607
1 Credits
This course is a continuation of the topics addressed in the preceding course Imaging Science Graduate Seminar I. The course is coupled with the research seminar sponsored by the Center for Imaging Science (usually weekly presentations). Students are expected to attend and participate in the seminar as part of the course. The course addresses issues and practices associated with technical presentations. Credits earned in this course apply to research requirements.
IMGS-532
3 Credits
This course will focus on a broader selection of analytical techniques with an application-centric presentation. These techniques include narrow-band indices, filtering in the spatial and frequency domains, principal component analysis, textural analysis, hybrid and object-oriented classifiers, change detection methods, and structural analysis. All of these techniques are applied to assessment of natural resources. Sensing modalities include imaging spectroscopy (hyperspectral), multispectral, and light detection and ranging (lidar) sensors. Applications such as vegetation stress assessment, foliar biochemistry, advanced image classification for land use purposes, detecting change between image scenes, and assessing topography and structure in forestry and grassland ecosystems (volume, biomass, biodiversity) and built environments will be examined. Real-world remote sensing and field data from international, US, and local sources are used throughout this course.
IMGS-890
1 - 6 Credits
Doctoral-level research by the candidate on an appropriate topic as arranged between the candidate and the research advisor.
IMGS-699
0 Credits
This course is a cooperative education experience for graduate imaging science students.
IMGS-799
1 - 4 Credits
This course is a faculty-directed tutorial of appropriate topics that are not part of the formal curriculum. The level of study is appropriate for student in their graduate studies.
IMGS-606
1 Credits
This course is focused on familiarizing students with research activities in the Carlson Center, research practices in the university, research environment and policies and procedures impacting graduate students. The course is coupled with the research seminar sponsored by the Center for Imaging Science (usually weekly presentations). Students are expected to attend and participate in the seminar as part of the course. The course also addresses issues and practices associated with technical presentation and technical writing. Credits earned in this course apply to research requirements.
IMGS-431
3 Credits
This course offers an introduction to remote sensing systems and a selection of environmental applications of remote sensing. The basic properties of electromagnetic radiation, its interaction with the atmosphere and earth surfaces (e.g., vegetation, minerals, water, etc.), and the interpretation of these interactions are dealt with in the first half of the course. This is followed by a description of airborne and spaceborne, active and passive sensors that operate throughout the electromagnetic spectrum for detecting physical phenomena. Finally, an introduction is provided to pre-processing and analysis techniques that are useful for extracting information from such sensors. The Earth's atmospheric, hydrospheric, and terrestrial processes are considered at local to regional scales. Application areas include monitoring vegetation health, measuring biomass (carbon sequestration), identifying cultural features, assessing water resources, and detecting pollution and natural hazards.
ENVS-798
1 - 4 Credits
This course is a faculty-directed tutorial of appropriate topics that are not part of the formal curriculum. The level of study is appropriate for student in the Environmental Science graduate program.

Latest News

Featured Work

Select Scholarship

Journal Paper
Yao, Wei, et al. "A Simulation-Based Approach to Assess Subpixel Vegetation Structural Variation Impacts on Global Imaging Spectroscopy." IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 56. 7 (2018): 4149-4164. Print.
Tesfamichael, Solomon G., et al. "Retrieval of Narrow-range LAI of at Multiple Lidar Point Densities: Application on Eucalyptus Grandis Plantation." Int J Appl Earth Obs Geoinformation 70. (2018): 93-104. Print.
Sebastián‑González, Esther, et al. "Testing the Acoustic Adaptation Hypothesis with Native and Introduced Birds in Hawaiian Forests." Journal of Ornithology 159. (2018): 827–838. Print.
Aardt, Jan A. van, et al. "Soil carbon estimation from Eucalyptus grandis using canopy spectra." South African Journal of Geomatics 4. 4 (2015): 548--561. Print.
Aardt, Jan A. van, et al. "Predicting soil nitrogen content using narrow-band indices from Eucalyptus grandis canopies as proxies." South African Journal of Plant and Soil 2015. (2015): 1--9. Print.
Aardt, Jan A. van, et al. "Single-Scan Stem Reconstruction Using Low-Resolution Terrestrial Laser Scanner Data." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 8. 7 (2015): 3414--3427. Print.
Aardt, Jan A. van, et al. "What lies beneath: detecting sub-canopy changes in savanna woodlands using a three-dimensional classification method." Applied Vegetation Science 18. (2015): 528--540. Print.
Aardt, Jan A. van, et al. "Estimation of Merchantable Volume of Eucalyptus Clones Based on Leaf-Level Hyperspectral Data." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 8. 6 (2015): 3095--3106. Print.
Aardt, Jan A. van, et al. "Tracking Diurnal Variation in Photosynthetic Down-Regulation Using Low Cost Spectroscopic Instrumentation." Sensors 15. (2015): 10616--10630. Print.
Aardt, Jan A. van, et al. "Detection and Quantification of Earthquake Building Damage Using Post-Disaster Airborne LiDAR Data." PE&RS TBD. (2015): --. Print.
Aardt, Jan A. van, et al. "Fusing High Spatial Resolution RapidEye and High Temporal Resolution MODIS Imagery for Land Cover Classification." Remote Sensing TBD. (2015): --. Print.
Aardt, Jan A. van, et al. "Marker-free Registration of Forest Terrestrial Laser Scanner Data Pairs with Embedded Confidence Metrics." Transactions on Geoscience and Remote Sensing TBD. (2015): 1--36. Print.
Aardt, Jan van, et al. "Tracking Diurnal Variation in Photosynthetic Down-regulation using Low Cost Spectroscopic Instrumentation." Sensors 15. 5 (2015): 10616--10630. Print.
Aardt, Jan A. van, et al. "Extracting Structural Vegetation Components From Small-Footprint Waveform Lidar for Biomass Estimation in Savanna Ecosystems." IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing 7. 2 (2014): 480--490. Print.
Aardt, Jan A. van, et al. "Management Approaches of Conservation Areas: Differences in Woody Vegetation Structure in a Private and a National Reserve." South African Journal of Botany 90. (2014): 146--152. Print.
Wu, Jiaying, Kerry A. Cawse-Nicholson, and Jan A. van Aardt. "3D Tree Reconstruction from SimulatedSmall Footprint Waveform Lidar." Photogrammetric Engineering and Remote Sensing 79. 12 (2013): 1147-1157. Print.
Mathieu, Renaud, et al. "Toward Structural Assessment of Semi-arid African Savannahs and Woodlands: The Potential of Multitemporal Polarimetric RADARSAT-2 Fine Beam Images." Remote Sensing of Environment 138. (2013): 215-231. Print.
Fisher, Jolene, et al. "Savanna Woody Vegetation Classification –now in 3-D." Applied Vegetation Science. Doi: 10.1111/avsc.12048 (2013): 1-13. Print.
Wessels, Konrad, et al. "Unsustainable Fuelwood Extraction from South African Savannas." Environmental Research Letters 8. 14007 (2013): 1-10. Print.
. "Assessing the impact of broadleaf tree structureon airborne full-waveform small-footprint LiDARsignals through simulation." Canadian Journal of Remote Sensing 39. S1 (2013): S1--S13. Print.
. "3D Tree Reconstruction from SimulatedSmall Footprint Waveform Lidar." Photogrammetric Engineering and Remote Sensing 79. 12 (2013): 1147--1157. Print.
A., van Aardt, Jan, et al. "Assessing the impact of broadleaf tree structureon airborne full-waveform small-footprint LiDARsignals through simulation." Canadian Journal of Remote Sensing 39. S1 (2013): S1--S13. Print.
A., van Aardt, Jan, et al. "3D Tree Reconstruction from SimulatedSmall Footprint Waveform Lidar." Photogrammetric Engineering and Remote Sensing 79. 12 (2013): 1147--1157. Print.
A., van Aardt, Jan, et al. "Assessing the impact of broadleaf tree structureon airborne full-waveform small-footprint LiDARsignals through simulation." Canadian Journal of Remote Sensing 39. S1 (2013): S1--S13. Print.
A., van Aardt, Jan, et al. "3D Tree Reconstruction from SimulatedSmall Footprint Waveform Lidar." Photogrammetric Engineering and Remote Sensing 79. 12 (2013): 1147--1157. Print.
Aardt, Jan A. van, et al. "Assessing the impact of broadleaf tree structureon airborne full-waveform small-footprint LiDARsignals through simulation." Canadian Journal of Remote Sensing 39. S1 (2013): S1--S13. Print.
Aardt, Jan A. van, et al. "3D Tree Reconstruction from SimulatedSmall Footprint Waveform Lidar." Photogrammetric Engineering and Remote Sensing 79. 12 (2013): 1147--1157. Print.
Cho, Moses A., et al. "Mapping Tree Species Composition in South African Savannas Using an Integrated Airborne Spectral and LiDAR System." Remote Sensing of the Environment 125. (2012): 214-226. Print.
Wu, Jiaying, et al. "A Robust Signal Preprocessing Chain for Small-Footprint Waveform LiDAR." IEEE Transactions on Geoscience and Remote Sensing 50. 8 (2012): 3242-3255. Print.
Fisher, Jolene, et al. "Human-Modified Landscapes: Patterns of Fine-Scale Woody Vegetation Structure in Communal Savannah Rangelands." Environmental Conservation 39. 1 (2012): 72-82. Print.
Aardt, Jan A. van, et al. "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 (2011): 943-952. Print.
Gebreslasie, Michael T., Fethi Ahmed, and Jan A. van Aardt. "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 32. 20 (2011): 1-25. Print.
Gebreslasie, Michael T., et al. "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 (2011): 4141-4154. Print.
Wu, Jiaying, Jan A. van Aardt, and Greg P. Asner. "A Comparison of Signal Deconvolution Algorithms Based on Small-Footprint LiDAR Waveform Simulation." IEEE Transactions on Geoscience and Remote Sensing 49. 6 (2011): 2402-2414. Print.
Roberts, Wesley J., Jan A. van Aardt, and Fethi Ahmed. "Image Fusion for Enhanced Forest Structural Assessment." International Journal of Remote Sensing 32. 1 (2011): 243-266. Print.
Wessels, Konrad, et al. "Impact of Communal Land Use and Conservation on Woody Vegetation Structure in the Lowveld Savannas of South Africa." Forest Ecology and Management 261. (2011): 19-29. Print.
Invited Keynote/Presentation
Aardt, Jan van, et al. "Transforming Disease Management Through the use of Unmanned Aerial Systems." International Congress of Plant Pathology (ICPP) 2018: Plant Health in A Global Economy. ICCP. Boston, MA. 29 Jul. 2018. Conference Presentation.
Published Conference Proceedings
Hughes, E.W., et al. "Snap Bean Flowering Detection from UAS Imaging Spectroscopy." Proceedings of the 14th International Conference on Precision Agriculture. Ed. N/A. Montreal, Quebec: n.p., 2018. Web.
McClelland, M., D.S Hale, and J. van Aardt. "A Comparison of Manned and Unmanned Aerial Lidar Systems in the Context of Sustainable Forest Management." Proceedings of the Proceedings: SPIE Commercial & Scientific Sensing and Imaging. Ed. N/A. Orlando, FL: n.p., 2018. Web.
Rouzbeh-Kargar, A., R. MacKenzie, and J. van Aardt. "Characterizing Stem Volume in Mangrove Forests Using Terrestrial Lidar Scanning." Proceedings of the ForestSat 2018. Ed. N/A. College Park, MD: n.p., 2018. Web.
Aardt, Jan A. van. "A precise estimation of the 3D structure of the forest based on the fusion of Airborne and Terrestrial LiDAR data." Proceedings of the IGARSS. Milano, Lombardia: IEEE, 2015. Print.
Aardt, Jan A. van. "Towards Robust Forest Leaf Area Index Assessment Using an Imaging Spectroscopy Simulation Approach." Proceedings of the International Geoscience and Remote Sensing Symposium. Milano, Lombardia: IEEE, 2015. Print.
Aardt, Jan A. van. "A Box-Counting Method to Characterize Degrees of Foliage Clumping Using Airborne and Simulated Lidar Data." Proceedings of the 36th International Symposium on Remote Sensing of Environment. Berlin, Berlin: ISPRS, 2015. Print.
Aardt, Jan A. van. "Assessing the Impact of Sub-pixel Vegetation Structure on Imaging Spectroscopy via Simulation." Proceedings of the SPIE Defense, Security, and Sensing Conference. Baltimore, Maryland: SPIE, 2015. Print.
Aardt, Jan A. van. "Modeling individual trees in an urban environment using dense discrete return LiDAR." Proceedings of the SPIE Defense, Security, and Sensing Conference. Baltimore, Maryland: SPIE, 2015. Print.
Aardt, Jan A. van. "Using Laser Scanning and Ray Tracing for Scaling Photosynthesis from Leaf to Stand Level." Proceedings of the 14th Conference on Lidar Applications for Assessing and Managing Forest Ecosystems. Montpellier, Languedoc-Roussillon: Silvilaser, 2015. Print.
Aardt, Jan A. van. "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, Quebec: IEEE, 2014. Print.
Aardt, Jan A. van. "Characterizing Structural Properties of Coastal Systems with Hyper-portable Ground-based Lidar." Proceedings of the 2014 IEEE IGARSS Conference. Quebec, Canada: IEEE, 2014. Print.
Aardt, Jan A. van. "Towards Extraction of Vegetation Biophysical Parameters from the NEON Airborne Observation Platform (AOP) Waveform Lidar." Proceedings of the 2014 IEEE IGARSS Conference. Quebec, Canada: IEEE, 2014. Print.
Kelbe, David, et al. "Reconstruction of 3D Tree Stem Models from Low-cost Terrestrial Laser Scanner Data." Proceedings of the SPIE Defense, Security, and Sensing Conference. Baltimore, MD: n.p., 2013. Print.
Bandyopadhyay, M, Jan A. van Aardt, and Kerry A. Cawse-Nicholson. "Classification and Extraction of Trees and Buildings from Urban Scenes Using Discrete Return LiDAR and Aerial Color Imagery." Proceedings of the SPIE Defense, Security, and Sensing Conference. Baltimore, MD: n.p., 2013. Print.
Giannandrea, AnneMarie, et al. "The SHARE 2012 Data Campaign." Proceedings of the Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX. Baltimore, Maryland: n.p., 2013. Print.
Cawse-Nicholson, Kerry A., et al. "A Study of Energy Attenuation Due to Forest Canopy in Small-footprint Waveform Lidar Signals." Proceedings of the Annual Conference. Baltimore, MD: n.p., 2013. Print.
Cawse-Nicholson, Kerry A., et al. "On the Scalability of Spectral Leaf Area Index Metrics." Proceedings of the Annual conference. Baltimore, MD: n.p., 2013. Print.
Krause, Keith, et al. "NEON Airborne Observation Platform Test Flights: Validation of Airborne Lidar and Hyperspectral Data." Proceedings of the Annual Meeting. Baltimore, MD: n.p., 2013. Print.
Romanczyk, Paul A., et al. "The Effect of Positioning Error on the Repeatability of Small-Footprint Waveform Lidar Signals." Proceedings of the Silvilaser. Beijing, : n.p., 2013. Print.
Aardt, Jan A. van, et al. "On Using Discrete Return Lidar Distributions as a Proxy for Waveform Lidar Signals when Modeling Vegetation Structure." Proceedings of the IEEE International Geoscience and Remote Sensing Symposium. Munich, Bavaria: n.p., 2012. Print.
Wessels, Konrad, et al. "Impacts of Communal Fuelwood Extraction on Lidar-Estimated Biomass Patterns of Savanna Woodlands." Proceedings of the IGARSS 2012. Munich, Bavaria: n.p., 2012. Print.
Herweg, Jared, et al. "SpecTIR Hyperspectral Airborne Rochester Experiment Data Collection Campaign." Proceedings of the Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII. Baltimore, MD: n.p., 2012. Print.
Sah, Shagan, et al. "A Multi-Temporal Analysa Multi-Temporal Analysis Approach for Land Cover Mapping in Support of Nuclear Incident Responseis Approach for Land Cover Mapping in Support Of Nuclear Incident Response." Proceedings of the SPIE Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII. Baltimore, MD: n.p., 2012. Print.
Kelbe, David, et al. "Automatic Extraction of Tree Stem Models from Single Terrestrial Lidar Scans in Structurally Heterogeneous Forest Environments." Proceedings of the Silvilaser 2012 Annual Conference: First Return. Vancouver, BC: n.p., 2012. Print.
Romanczyk, Paul A., et al. "Assessing the Impact of Broadleaf Tree Structure oan Airborne Full-Waveform Small-Footprint Lidar Signals." Proceedings of the Silvilaser 2012 Annual Conference: First Return. Vancouver, BC: n.p., 2012. Print.
Labiak, Rick, et al. "Automated Method for Detection and Quantification of Building Damage and Debris Using Post-disaster LiDAR Data." Proceedings of the SPIE Conference on Laser Radar Technology and Applications XVI. Orlando, FL: n.p., 2011. Print.
Faulring, Jason W., et al. "Supporting Relief Efforts of the 2010 Haitian Earthquake using an Airborne Multi-Modal Remote Sensing Platform." Proceedings of the SPIE Conference on Conference on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVII. Orlando, FL: n.p., 2011. Print.
McKeown, Donald, et al. "Demonstration of Delivery of Ortho Imagery in Realtime for Local Emergency Response." Proceedings of the SPIE Conference on Conference on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVII. Orlando, FL: n.p., 2011. Print.
Aardt, Jan A. van, et al. "LiDAR-based Estimation of Forest Floor Fuel Loads Using a Novel Distributional Approach." Proceedings of the SilviLaser 11th International Conference on LiDAR Applications for Assessing Forest Ecosystems. Hobart, Tasmania, Australia: n.p., 2011. Print.
External Scholarly Fellowships/National Review Committee
11/1/2017 - 12/31/2018
     NSF NEON
     Amount: 0
11/1/2017 - 12/31/2018
     NSF NEON
     Amount: 0
Book Chapter
Aardt, Jan A. van, et al. "Localisation of Biomass Potentials." Bioenergy from Wood: Sustainable Production in the Tropics, Managing Forest Ecosystems 26. Ed. T. Seifert. Dordrecht, The Netherlands: Springer, 2014. Print.
Aardt, Jan A. van, et al. "Assessing Degradation Across a Land Use Gradient in the Kruger National Park Area Using Advanced Remote Sensing Modalities." Observations on Environmental Change in South Africa. Stellenbosch, Western Cape, South Africa: Sun Press, 2011. 97-103. Print.
Aardt, Jan A. van, et al. "Ecosystems: Case Studies in Capital Intensive Crops Towards System Modeling of Ecosystems Using Integrated Hyperspectral Remote Sensing and In Situ Inputs." Observations on Environmental Change in South Africa. Stellenbosch, Western Cape, South Africa: Sun Press, 2011. 116-123. Print.
Aardt, Jan A. van, et al. "Species-level Classification Using Imaging Spectroscopy for the Detection of Invasive Alien Species." Observations on Environmental Change in South Africa. Stellenbosch, Western Cape, South Africa: SUN PRESS, 2011. 147-153. Print.
Published Article
Cho, M.A., P. Debba,R. Mathieu, L. Naidoo, J.A. van Aardt, and G.P. Asner. “Improving discrimination of savanna tree species through a multiple endmember spectral angle mapperapproach: Canopy-level analysis.” IEEE Transactions on Geoscience and Remote Sensing, 48.11 (2010): 4133-4142. Print. £
Somers, B., S. Delalieux, W. Verstraeten, J.A. van Aardt, G. Albrigo, and P. Coppin. “An automated waveband selection technique for optimizedhyperspectral mixture analysis.” International Journal of Remote Sensing, 31.20 (2010): 5549-5568. Print. £
Cho, M.A., J.A. van Aardt, R. Main, and B. Majeke. “Evaluating variations of physiology-based hyperspectral features along a soil water gradient ina Eucalyptus grandis plantation.” International Journal of Remote Sensing, 31.12 (2010): 3143-3159. Print. £
Tesfamichael, S.G., and J.A. van Aardt. “Ahmed Estimating plot-level tree height and volume ofEucalyptus grandis plantations using small-footprint, discrete return lidar data.” Progress in Physical Geography, 34.4 (2010): 515-540. Print. £
Gebreslasie, M.T., Ahmed, J.A. van Aardt. “Predicting forest structural attributes using ancillary data and ASTER satellite data.” International Journal of Applied Earth Observation and Geoinformation, 12S (2010): S23-S26. Print. £
Messinger, D.W., J.A.van Aardt, D., McKeown, M.V. Casterline, J.W. Faulring, N.G. Raqueno, B. Basener, and M. Velez-Reyes. “High Resolution and LIDAR Imaging Support to the Haiti Earthquake Relief Effort.” Imaging Spectrometry XV, Optics & Photonics,7812 (August 2010): n.p. Print. †
McGlinchy, J., J.A.van Aardt, H.E. Rhody, J.Kerekes, E.J. Ientilucci, G.P. Asner, D. Knapp, R.Mathieu, T. Kennedy-Bowdoin, B.F.Erasmus, K. Wessels, I.P. Smit, J. Wu, and D. Sarrazin.” Extracting Structural Land Cover Components using Small--footprint Waveform Lidar Data.” Proceedings of 2010 IEEE International Geoscience & Remote Sensing Symposium, IEEE, IGARSS, July 2010. n.p. Print. †
Sarrazin, D., J.A. van Aardt, D.W. Messinger and G.P. Asner. “Fusing waveform LIDAR and hyperspectraldata for species-level structural assessment in savanna ecosystems.” SPIE, Laser RadarTechnology and Applications XV, 7684 (2010): n.p. Print. †
Van Aardt, J.A., M. Vogel, W. Luck, J.D. Althausen. “Remote sensing systems for operational and research use.” Manual of Geospatial Science and Technology. 2010. n.p. Print.
Formal Presentation
Van Aardt, J.A., J. Wu, J. Fisher, B.F. Erasmus, K. Wessels, R. Mathieu, G.P Asner, T. Kennedy-Bowdoin, and D. Knapp. “Comparing discrete return-to waveform lidar data for vegetation structural assessment: A contemporaneous, small-footprint study ina savanna ecosystem.” American Society for Photogrammetric Engineering and Remote Sensing (ASPRS), ASPRS 2010 Annual Conference. San Diego, CA. April 2010. Presentation. †
Van Aardt, J.A., D. McKeown, A. Vodacek, S. Duvvuri, A. Pillai, C. Renschler, J.W. Faulring, H. Bischoff, H. Collins, and D. Boyd. “Information Products Laboratory for Emergency Response: Rapid Turnaround Geospatial Disaster Management Products with Fire and Earthquake Response as Case Studies.” American Society for Photogrammetric Engineering and Remote Sensing (ASPRS), ASPRS 2010 Annual Conference. San Diego, CA. April 2010. Presentation. †
Van Aardt, J.A., M. Arthur, G. Carmean, R.L. Kremens, J.W. Faulring, and D. McKeown. “A Sampling Approach to Forest Fuel Load Assessment Across Different Fire Regimes in Eastern Deciduous Forests using Small-footprint Discrete Return Lidar.” American Society for PhotogrammetricEngineering and Remote Sensing (ASPRS),ASPRS 2010 Annual Conference. San Diego, CA. April 2010. Presentation.