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Eileen H. Helmer, PhD

Affiliations: 
1999- International Institute of Tropical Forestry USDA Forest Service 
Area:
Landscape Ecology, Tropical Forest Ecology, Remote Sensing
Website:
http://www.fs.fed.us/research/people/profile.php?alias=ehelmer
Google:
"E. H. Helmer"
Bio:

PhD in Forest Ecology from Oregon State University under Sandra Brown and Steven Radosevich
MS in Environmental Engineering and Sciences from University of Minnesota under Steven J. Eisenreich
BS in Ecology, Ethology and Evolution from University of Illinois

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Parents

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Steven J. Eisenreich grad student 1984-1987 University of Minnesota - Minneapolis (E-Tree)
Sandra Brown grad student 1994-1998 Oregon State

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Publications

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Helmer EH, Kay S, Marcano-Vega H, et al. (2023) Multiscale predictors of small tree survival across a heterogeneous tropical landscape. Plos One. 18: e0280322
Helmer EH, Gerson EA, Baggett LS, et al. (2019) Neotropical cloud forests and páramo to contract and dry from declines in cloud immersion and frost Plos One. 14: e0213155
Helmer EH, Gerson EA, Baggett LS, et al. (2019) Neotropical cloud forests and páramo to contract and dry from declines in cloud immersion and frost. Plos One. 14: e0213155
Cooper N, Ewert D, Wunderle J, et al. (2019) Revising the wintering distribution and habitat use of the Kirtland’s warbler using playback surveys, citizen scientists, and geolocators Endangered Species Research. 38: 79-89
Liu M, Yang W, Zhu X, et al. (2019) An Improved Flexible Spatiotemporal DAta Fusion (IFSDAF) method for producing high spatiotemporal resolution normalized difference vegetation index time series Remote Sensing of Environment. 227: 74-89
Helmer E, Ruzycki T, Wilson B, et al. (2018) Tropical Deforestation and Recolonization by Exotic and Native Trees: Spatial Patterns of Tropical Forest Biomass, Functional Groups, and Species Counts and Links to Stand Age, Geoclimate, and Sustainability Goals Remote Sensing. 10: 1724
Zhu X, Helmer EH. (2018) An automatic method for screening clouds and cloud shadows in optical satellite image time series in cloudy regions Remote Sensing of Environment. 214: 135-153
Gwenzi D, Helmer E, Zhu X, et al. (2017) Predictions of Tropical Forest Biomass and Biomass Growth Based on Stand Height or Canopy Area Are Improved by Landsat-Scale Phenology across Puerto Rico and the U.S. Virgin Islands Remote Sensing. 9: 123
Banda-R K, Delgado-Salinas A, et al. (2016) Plant diversity patterns in neotropical dry forests and their conservation implications. Science (New York, N.Y.). 353: 1383-1387
Zhu X, Helmer EH, Gao F, et al. (2016) A flexible spatiotemporal method for fusing satellite images with different resolutions Remote Sensing of Environment. 172: 165-177
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