2020 ESA Annual Meeting (August 3 - 6)

PS 20 - Remote Sensing And Image Analysis

Drone aerial mapping: Accuracy and limitations for predicting oyster habitat
Shannon Dolan, North Carolina State University, Doris Duke Conservation Scholars Program; Daniel J. Bowling, North Carolina State University, North Carolina State University Center for Marine Science and Technology; David B. Eggleston, North Carolina State University
Understanding land use effects on the landscape structure and connectivity of moose, fisher, and beaver habitat in Tsilhqot’in First Nation territory, British Columbia using Landsat and predictive ecological data
Matthew Grohovsky, University of British Columbia; Sarah Gergel, University of British Columbia; Sarah Gash, Tŝilhqot’in National Government; Kevin Hanna, University of British Columbia, Okanagan Campus
Quantifying forest loss due to linear infrastructure intrusions in data deficient landscapes using hybrid data collection and analysis techniques
Deepika Guruprasad, Nelson Institute for environmental studies, Wildlife First; Vivek Malleshappa, ESRI, Wildlife First
Mapping peatland vegetation at nested spatial scales
Heidi Cunnick, Lehigh University; Joan M. Ramage, Lehigh University; Robert K. Booth, Lehigh University; Dawn Magness, U.S. Fish and Wildlife Service; Stephen C. Peters, Lehigh University
Assessing forest disturbances by hurricane Bulbul in the Sundarbans mangrove forest using remote sensing
Mohammad Shamim Hasan Mandal, Hiroshima University; Md. Kamruzzaman, Khulna University; Tetsuro Hosaka, Hiroshima University
Satellite vegetation phenology reliably captures timing of carbon fluxes
Ian McGregor, North Carolina State University; Xiaojie Gao, North Carolina State University; Joshua Gray, North Carolina State University
NASA Earth science data pathfinders: Getting you to your data destination for biodiversity and ecological forecasting
Cynthia Hall, NASA; Kevin Ward, NASA; Keith Gaddis, NASA; Sara Lubkin, NASA Headquarters
From drone images to pollination services: Applying QGIS and machine learning techniques for classification and mapping of flower resources
Brandon D'Souza, Michigan State University, The Ohio State University; Hsun-Yi Hsieh, Michigan State University; Kevin Kahmark, Michigan State University; Lindsey Kemmerling, Michigan State University; Ally Brown, Michigan State University; Nick Haddad, Michigan State University; G Philip Robertson, Michigan State University
Conservation of showy stickseed (Hackelia venusta) using drones to monitor plant populations and survey for potential habitat
Andrew Foster, University of Washington; Wendy Gibble, University of Washington; L. Monika Moskal, University of Washington
Monitoring wetland invasive vegetation with drones: Pilot study on reed canary grass
Astrid Sanna, University of Washington; L. Monika Moskal, University of Washington; Meghan A. Halabisky, University of Washington; Jonathan L. Batchelor, University of Washington
Genetic structure of a temperate forest inferred from temporal indices derived from airborne imaging spectroscopy
Ewa Czyz, University of Zurich; Bernhard Schmid, University of Zurich; Andreas Hueni, University of Zurich; Meredith Schuman, University of Zurich; Michael E. Schaepman, University of Zurich
Using hyperspectral imagery to characterize fine-scale rangeland vegetation dynamics
Rowan M. Gaffney, USDA-ARS; Lauren Porensky, USDA-ARS; David J. Augustine, USDA-ARS
Mapping the composition of aspen in Utah forests using multivariate analysis
Curtis Gray, Utah State University; Larissa Yocom, Utah State University; Doug Ramsey, Utah State University
Seeing the forest without the trees: How lidar-derived canopy gaps can inform snag modeling and provide value to wildlife
Jessica M. Stitt, University of Idaho; Andrew Hudak, USDA Forest Service; Lee A. Vierling, University of Idaho; Kerri T. Vierling, University of Idaho
ICESat-2 land water vegetation elevation product (ATL08) product validation in California and Oregon
Lonesome Malambo, Texas A&M University; Sorin C. Popescu, Texas A & M University
Reckless abandonment? assessing how agricultural legacies influence ecosystem recovery
Damien Farrant, University of California Santa Barbara; Ashley E. Larsen, University of California Santa Barbara; Dar A. Roberts, University of California Santa Barbara
Mapping flooding regimes in the Lower Mississippi Alluvial Valley during 2001-2018 using satellite remote sensing
Xichun Zhou, Mississippi State University; Jia Yang, Mississippi State University
A comparison of the environmental responses of canopy SIF and GPP in a subalpine conifer forest in Colorado, USA
Julia Yang, University of Utah; Troy Magney, University of California, Davis; Andrew D. Richardson, Northern Arizona University; Christian Frankenberg, Jet Propulsion Laboratory, California Institute of Technology; Sean P. Burns, University of Colorado and NCAR; Jochen Stutz, University of California, Los Angeles; Bijan Seyednasrollah, Northern Arizona University; Peter D. Blanken, University of Colorado, Boulder; Katja Grossmann, University of Heidelberg; David Bowling, University of Utah
Improved estimates of the extent of fire, management, and drought-induced die-off in California’s forests using dense time series of Landsat remote sensing data
Jonathan A Wang, University of California, Irvine; James T. Randerson, University of California, Irvine; Michael Goulden, University of California, Irvine; John J. Battles, University of California, Berkeley; Clarke Knight, University of California, Berkeley
Evapotranspiration, beetles, and groundwater dynamics at a former uranium mill site: Implications for the remediation of contaminated groundwater
Chris Jarchow, Navarro Research and Engineering; William J. Waugh, Navarro Research and Engineering, Inc.; Kamel Didan, University of Arizona; Armando Barreto-Munoz, University of Arizona; Stephanie Herrmann, University of Arizona; Pamela Nagler, US Geological Survey
See more of: Contributed Posters