J
Jennifer L. Dungan
Researcher at Ames Research Center
Publications - 73
Citations - 5547
Jennifer L. Dungan is an academic researcher from Ames Research Center. The author has contributed to research in topics: Leaf area index & Spatial analysis. The author has an hindex of 28, co-authored 71 publications receiving 4984 citations. Previous affiliations of Jennifer L. Dungan include California State University, Monterey Bay.
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Journal ArticleDOI
A balanced view of scale in spatial statistical analysis
Jennifer L. Dungan,Joe N. Perry,Mark R. T. Dale,Pierre Legendre,S. Citron-Pousty,Marie-Josée Fortin,A. Jakomulska,M. Miriti,Michael S. Rosenberg +8 more
TL;DR: In this paper, the authors identify the influence of observational scale on statistical results as a subset of what geographers call the Modifiable Area Unit Problem (MAUP), and recommend a set of considerations for sampling design to allow useful tests for specific scales of a phenomenon under study.
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The Harmonized Landsat and Sentinel-2 surface reflectance data set
Martin Claverie,Martin Claverie,Junchang Ju,Junchang Ju,Jeffrey G. Masek,Jennifer L. Dungan,Eric Vermote,Jean-Claude Roger,Jean-Claude Roger,Sergii Skakun,Sergii Skakun,Christopher O. Justice +11 more
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Exploring the relationship between reflectance red edge and chlorophyll content in slash pine.
TL;DR: The results suggest that the red edge could be used to estimate the chlorophyll content in branches, but it is unlikely to be of value for the estimation of chlorophylla content in canopies unless the canopy cover is high.
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Estimating the foliar biochemical concentration of leaves with reflectance spectrometry
TL;DR: In this paper, the authors used stepwise regression and either of the following: (i) standard first derivative reflectance spectra (FDS), (ii) absorption band depths, following continuum removal and normalisation against band depth at the centre of the absorption feature (BNC) or (iii) absorption bands depths, followed continuum removal, normalisation, and normalization against the area of the BNA.
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Illustrations and guidelines for selecting statistical methods for quantifying spatial pattern in ecological data
Joe N. Perry,Andrew M. Liebhold,Michael S. Rosenberg,Jennifer L. Dungan,M. Miriti,A. Jakomulska,S. Citron-Pousty +6 more
TL;DR: Advice to ecologists with limited experience in spatial analysis is to use simple visualization techniques for initial analysis, and subsequently to select methods that are appropriate for the data type and that answer their specific questions of interest.