Jennifer L. Dungan
Organization:
NASA Ames Research Center
Email:
Business Phone:
Work:
(650) 604-3618
Business Address:
NASA Ames Research Center
Moffett Field, CA 94035-1000
United StatesFirst Author Publications:
- Dungan, J. L. (2006), Focusing on feature-based differences in map comparison, J Geograph Syst, 8, 131-143, doi:10.1007/s10109-006-0019-8.
- Dungan, J. L., et al. (2002), A balanced view of scale in spatial statistical analysis, Ecography, 25, 626-640.
- Dungan, J. L., et al. (1996), High spectral resolution reflectance of Douglas fir grown under different fertilization treatments: Experiment design and treatment effects, Rem. Sens. Environ., 55, 217-228.
Co-Authored Publications:
- Claverie, M., et al. (2018), The Harmonized Landsat and Sentinel-2 surface reflectance data set T a,b,⁎ b,c b d b, Remote Sensing of Environment, 219, 145-161, doi:10.1016/j.rse.2018.09.002.
- Li, S., et al. (2017), Sentinel-2 MSI Radiometric Characterization and Cross-Calibration with Landsat-8 OLI, Advances in Remote Sensing, 6, 147-159, doi:10.4236/ars.2017.62011.
- Choi, S., et al. (2016), Application of the metabolic scaling theory and water-energy balance equation to model large-scale patterns of maximum forest canopy height, Global Ecology and Biogeography, (Global Ecol. Biogeogr., doi:10.1111/geb.12503.
- Schleeweis, K., et al. (2016), Selection and quality assessment of Landsat data for the North American forest dynamics forest history maps of the US, (Online) Journal homepage, 1753-8955, doi:10.1080/17538947.2016.1158876.
- Ganguly, S., et al. (2012), Generating global Leaf Area Index from Landsat: Algorithm formulation and demonstration, Remote Sens. Environ., 122, 185-202.
- Anderson, K., J. L. Dungan, and A. MacArthur (2011), On the reproducibility of field-measured reflectance factors in the context of vegetation studies, Remote Sensing of Environment, 115, 1893-1905, doi:10.1016/j.rse.2011.03.012.
- Wang, W., et al. (2010), Diagnosing and assessing uncertainties of terrestiral ecosystem models in a multi-model ensemble experiment: 1, primary production. Global Change Biology, doi:10.111/j.1365-2486.2010.02309.x.
- Hashimoto, H., et al. (2008), Satellite-based estimation of surface vapor pressure deficits using MODIS land surface temperature data, Remote Sensing of Environment, 112, 142-155.
- Warren-Rhodes, K. A., et al. (2007), Ecology and spatial pattern of cyanobacterial community island patches in the Atacama Desert, Chile, J. Geophys. Res., 112, G04S15, doi:10.1029/2006JG000305.
- Berterretche, M., et al. (2005), Comparison of regression and geostatistical methods for mapping Leaf Area Index (LAI) with Landsat ETM+ data over a boreal forest, Remote Sensing of Environment, 96, 49-61.
- Kao, D., et al. (2005), Visualizing distributions from multi-return lidar data to understand forest structure, The Cartographic Journal , Special issue on GeoVisualization, 42, 35-47.
- Hlavka, C. A., and J. L. Dungan (2002), Areal estimates of fragmented land cover - effects of pixel size and model-based corrections, International Journal of Remote Sensing, 23, 711-721.
- Moghaddam, M., and J. L. Dungan (2002), Forest variable estimation from fusion of SAR and multispectral optical data, IEEE Trans. Geosci. Remote Sens., 40, 2176-2187.
- Perry, J. N., et al. (2002), Illustrations and guidelines for selecting statistical methods for quantifying spatial pattern in ecological data, Ecography, 25, 578-600.
- Curran, P. J., J. L. Dungan, and D. L. Peterson (2001), Estimating the foliar biochemical concentration of leaves with reflectance spectrometry: Testing the Kokaly and Clark methodologies, Remote Sensing of Environment, 76, 349-359.
- Kyriakidis, P. C., and J. L. Dungan (2001), Stochastic simulation for assessing thematic classification accuracy and the impact of inaccurate spatial data on ecological model predictions, Environmental and Ecological Statistics, 8, 311-330.
- Potter, C., et al. (2001), Modeling seasonal and interannual variability in ecosystem carbon cycling for the Brazilian Amazon region, J. Geophys. Res., 106, 10,423-10.
- Keller, R. L., and J. L. Dungan (1999), Meta-modelling: A knowledge-based approach to facilitating model construction and reuse, Ecological Modelling, 119, 89-116.
- Rossi, R. E., J. L. Dungan, and L. R. Beck (1994), Kriging in the Shadows: Geostatistical Interpolation for Remote Sensing, Remote Sensing of Environment, 49, 32-40.
- Curran, P. J., J. L. Dungan, and H. L. Gholz (1992), Seasonal LAI in Slash Pine Estimated with Landsat TM, Remote Sensing of Environment, 39, 3-13.
- Curran, P. J., et al. (1992), Reflectance Spectroscopy of Fresh Whole Leaves for the Estimation of Chemical Concentration, Remote Sensing of Environment, 39, 153-166.
- Band, L. E., et al. (1991), Forest Ecosystem Processes at the Watershed Scale: Basis for Distributed Simulation, Ecological Modelling, 56, 171-196.
- Curran, P. J., et al. (1991), The Effect of a Red Leaf Pigment on the Relationship Between Red Edge and Chlorophyll Concentration, Remote Sensing of Environ., 35, 69-76.
- Curran, P. J., and J. L. Dungan (1990), The Airborne Visible/Infrared Imaging Spectrometer (AVIRIS), International Journal of Remote Sensing, 11, 929-931.
- Curran, P. J., J. L. Dungan, and H. L. Ghloz (1990), Exploring the Relationship Between Red Edge and Chlorophyll Content in Slash Pine, Tree Physiology, 7, 33-48.
- Curran, P. J., and J. L. Dungan (1989), Estimation of Signal-to-Noise: A New Techniques Applied to AVIRIS Data, IEEE Trans. Geosci. Remote Sens., 27, 620-628.
- Curran, P. J., and J. L. Dungan (1989), Preparations for AVIRIS: from VAX to CRAY, On Line, 11, 1-7.
- Curran, P. J., J. L. Dungan, and H. L. Gholz (1989), Reflectance Spectroscopy of Forest Canopy Chemistry, Bulletin-The Ecological Society of America, 70, 91.