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
ørgensen, øgaard et al. Connecting people and ideas from around the world: global innovation platforms for next-generation ecology and beyond. Ecosphere 6, art68 (2015).
Hoekman, D. et al. Design for mosquito abundance, diversity, and phenology sampling within the National Ecological Observatory Network. Ecosphere 7, e01320 (2016).
Hoekman, D. et al. Design for mosquito abundance, diversity, and phenology sampling within the National Ecological Observatory Network. Ecosphere 7, e01320 (2016).
Hoekman, D. et al. Design for mosquito abundance, diversity, and phenology sampling within the National Ecological Observatory Network. Ecosphere 7, e01320 (2016).
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).
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
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
Ryan, W. H. et al. Initiating & Managing Long-Term Data with Amateur Scientists. The American Biology Teacher 79, 28 - 34 (2017).
Ryan, W. H. et al. Initiating & Managing Long-Term Data with Amateur Scientists. The American Biology Teacher 79, 28 - 34 (2017).
Thorpe, A. S. et al. Introduction to the sampling designs of the National Ecological Observatory Network Terrestrial Observation System. Ecosphere 7, e01627 (2016).
Thorpe, A. S. et al. Introduction to the sampling designs of the National Ecological Observatory Network Terrestrial Observation System. Ecosphere 7, e01627 (2016).
Ghabbour, E. A. et al. Measuring the Total and Sequestered Organic Matter Contents of Grassland and Forest Soil Profiles in the National Ecological Observatory Network Initiative. Soil Horizons 56, (2015).PDF icon 2015 Ghabbour et al Soil Horizons.pdf (1.46 MB)
Kao, R. Hufft et al. NEON terrestrial field observations: designing continental-scale, standardized sampling. Ecosphere 3, art115 (2012).
LaDeau, S. L., Han, B. A., Rosi-Marshall, E. J. & Weathers, K. C. The Next Decade of Big Data in Ecosystem Science. Ecosystems 20, 274 - 283 (2017).
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).
Gilmanov, T. G. et al. Productivity and Carbon Dioxide Exchange of Leguminous Crops: Estimates from Flux Tower Measurements. Agronomy Journal 106, 545 (2014).
Gilmanov, T. G. et al. Productivity and Carbon Dioxide Exchange of Leguminous Crops: Estimates from Flux Tower Measurements. Agronomy Journal 106, 545 (2014).
Gilmanov, T. G. et al. Productivity and Carbon Dioxide Exchange of Leguminous Crops: Estimates from Flux Tower Measurements. Agronomy Journal 106, 545 (2014).
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).
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).

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