Papers and Publications

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Conference Paper
Hagstrom, S. & Broadwater, J. Generating passive NIR images from active LIDAR. SPIE Defense + SecurityLaser Radar Technology and Applications XXI (Turner, M. D. & Kamerman, G. W.) (SPIE, 2016). doi:10.1117/12.2223850PDF icon SPIE2016.pdf (1.52 MB)
Journal Article
Starr, G. et al. Carbon Dynamics of Pinus palustris Ecosystems Following Drought. Forests 7, 98 (2016).
Hoekman, D. et al. Design for mosquito abundance, diversity, and phenology sampling within the National Ecological Observatory Network. Ecosphere 7, e01320 (2016).
Mahecha, M. D. et al. Detecting impacts of extreme events with ecological in situ monitoring networks. Biogeosciences 14, 4255 - 4277 (2017).
Mahecha, M. D. et al. Detecting impacts of extreme events with ecological in-situ monitoring networks. Biogeosciences Discussions (2017). doi:10.5194/bg-2017-130
Kingdon, A., Giles, J. R. A. & Lowndes, J. P. Future of technology in NERC data models and informatics: outputs from InformaTEC. Geological Society, London, Special Publications 408, 245 - 253 (2017).
Zhou, T., Popescu, S. C., Krause, K., Sheridan, R. D. & Putman, E. Gold – A novel deconvolution algorithm with optimization for waveform LiDAR processing. ISPRS Journal of Photogrammetry and Remote Sensing 129, 131 - 150 (2017).
éy, J. et al. Greater temperature sensitivity of plant phenology at colder sites: implications for convergence across northern latitudes. Global Change Biology (2017). doi:10.1111/gcb.13619
Kelly, E. F. & Loescher, H. W. NEON Reboot. BioScience 66, 711 - 711 (2016).
Kao, R. Hufft et al. NEON terrestrial field observations: designing continental-scale, standardized sampling. Ecosphere 3, art115 (2012).
Kao, R. Hufft et al. NEON terrestrial field observations: designing continental-scale, standardized sampling. Ecosphere 3, art115 (2012).
Kuhlman, M. R. et al. A New Engagement Model to Complete and Operate the National Ecological Observatory Network. The Bulletin of the Ecological Society of America 97, 283 - 287 (2016).PDF icon Kuhlman_et_al-2016-The_Bulletin_of_the_Ecological_Society_of_America.pdf (80.44 KB)
Kuhlman, M. R. et al. A New Engagement Model to Complete and Operate the National Ecological Observatory Network. The Bulletin of the Ecological Society of America 97, 283 - 287 (2016).PDF icon Kuhlman_et_al-2016-The_Bulletin_of_the_Ecological_Society_of_America.pdf (80.44 KB)
Kunwor, S., Starr, G., Loescher, H. W. & Staudhammer, C. L. Preserving the variance in imputed eddy-covariance measurements: Alternative methods for defensible gap filling. Agricultural and Forest Meteorology 232, 635 - 649 (2017).
Kosmala, M. et al. Season Spotter: Using Citizen Science to Validate and Scale Plant Phenology from Near-Surface Remote Sensing. Remote Sensing 8, 726 (2016).
Vaughan, A. Robert et al. Spatially resolved flux measurements of NOx from London suggest significantly higher emissions than predicted by inventories. Faraday Discuss. (2015). doi:10.1039/C5FD00170F
Serrano-Ortiz, P. et al. Surface-Parallel Sensor Orientation for Assessing Energy Balance Components on Mountain Slopes. Boundary-Layer Meteorology (2015). doi:10.1007/s10546-015-0099-4
Springer, Y. P. et al. Tick-, mosquito-, and rodent-borne parasite sampling designs for the National Ecological Observatory Network. Ecosphere 7, e01271 (2016).
Springer, Y. P. et al. Tick-, mosquito-, and rodent-borne parasite sampling designs for the National Ecological Observatory Network. Ecosphere 7, e01271 (2016).
Cook, J. A. et al. Transformational Principles for NEON Sampling of Mammalian Parasites and Pathogens: A Response to Springer and Colleagues. BioScience 66, 917 - 919 (2016).
Knox, S. Helen et al. Using digital camera and Landsat imagery with eddy covariance data to model gross primary production in restored wetlands. Agricultural and Forest Meteorology 237-238, 233 - 245 (2017).
Vaughan, A. R. et al. VOC emission rates over London and South East England obtained by airborne eddy covariance. Faraday Discuss. 200, 599 - 620 (2017).
Crall, A. et al. Volunteer recruitment and retention in online citizen science projects using marketing strategies: lessons from Season Spotter. Journal of Science Communication 16 (01), (2017).

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