Papers and Publications

Export 67 results:
Author Keyword Title Type [ Year(Desc)]
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)
Sierra, C. A., Malghani, S. & Loescher, H. W. Interactions among temperature, moisture, and oxygen concentrations in controlling decomposition rates. Biogeosciences Discussions 1 - 11 (2016). doi:10.5194/bg-2016-474
Thorpe, A. S. et al. Introduction to the sampling designs of the National Ecological Observatory Network Terrestrial Observation System. Ecosphere 7, e01627 (2016).
Kelly, E. F. & Loescher, H. W. NEON Reboot. BioScience 66, 711 - 711 (2016).
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)
Metzger, S. et al. Optimization of an enclosed gas analyzer sampling system for measuring eddy covariance fluxes of H2O and CO2. Atmospheric Measurement Techniques 9, 1341 - 1359 (2016).
Hinckley, E. - L. S. et al. Optimizing Available Network Resources to Address Questions in Environmental Biogeochemistry. BioScience biw005 (2016). doi:10.1093/biosci/biw005
Elmendorf, S. C. et al. The plant phenology monitoring design for the national ecological observatory network. Ecosphere 7, (2016).
Johnson, K. A. Real Life Science with Dandelions and Project BudBurst. Journal of Microbiology & Biology Education 17, 115 - 116 (2016).
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).
Hinckley, E. - L. S. et al. The soil and plant biogeochemistry sampling design for The National Ecological Observatory Network. Ecosphere 7, e01234 (2016).
Springer, Y. P. et al. Tick-, mosquito-, and rodent-borne parasite sampling designs for the National Ecological Observatory Network. Ecosphere 7, e01271 (2016).
Gallery, W. TM-007 User guide for locating NEON camera images. NEON Technical Memorandum Series (NEON, 2016).PDF icon TM007-UserGuide_for_locating_NEON_Camera_Images.pdf (15.85 MB)
Stark, S. C. et al. Toward accounting for ecoclimate teleconnections: intra- and inter-continental consequences of altered energy balance after vegetation change. Landscape Ecology 31, 181 - 194 (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).
Brown, T. B. et al. Using phenocams to monitor our changing Earth: toward a global phenocam network. Frontiers in Ecology and the Environment 14, 84 - 93 (2016).
Chabbi, A. et al. Aligning agriculture and climate policy. Nature Climate Change 7, 307 - 309 (2017).
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
Metzger, S. et al. eddy4R 0.2.0: a DevOps model for community-extensible processing and analysis of eddy-covariance data based on R, Git, Docker, and HDF5. Geoscientific Model Development 10, 3189 - 3206 (2017).
Metzger, S. et al. eddy4R: A community-extensible processing, analysis and modeling framework for eddy-covariance data based on R, Git, Docker and HDF5. Geoscientific Model Development Discussions 1 - 26 (2017). doi:10.5194/gmd-2016-318
Vargas, R. et al. Enhancing interoperability to facilitate implementation of REDD+: case study of Mexico. Carbon Management 10, 1 - 9 (2017).
Vellend, M. et al. Estimates of local biodiversity change over time stand up to scrutiny. Ecology 98, 583 - 590 (2017).
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).


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