B33K:
Novel Methods of Connecting Ecosystem Structure to Function with Remote Sensing Posters


Submit an Abstract to this Session


Session ID#: 52958

Session Description:
Remote sensing provides a critical link in understanding how ecological and biogeochemical processes scale to entire ecosystems. Advances in technology, techniques, and theory have led to novel applications across the biogeosciences. Passive (e.g. optical, multi- and hyperspectral, and thermal) and active (e.g. LiDAR and radar) sensors enable complementary measurements across a broad range of spatial scales. Unmanned aerial systems (UAS/UAV) allow for rapid and repeated measurements of smaller, targeted areas of interest, facilitating upscaling by bridging ground and spaceborne observation. Terrestrial LiDAR improves our ability to characterize vegetation structure and complexity, while imaging spectroscopy (e.g. hyperspectral) helps map plant species composition and measure plant function. Linking structure to function via remote sensing is an exciting research frontier. In this session, we invite submissions from all who are using innovative applications of remote sensing to understand structure-function connections, or who are working in novel environments.
Primary Convener:  Jeff Atkins, Virginia Commonwealth University, Biology, Richmond, United States
Conveners:  Atticus Stovall, NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Washington, United States and Elizabeth LaRue, University of Texas El Paso, El Paso, United States
Primary Liaison:  Jeff Atkins, Virginia Commonwealth University, Biology, Richmond, United States
Chairs:  Jeff Atkins, Virginia Commonwealth University, Biology, Richmond, United States and Atticus Stovall, NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Washington, United States
OSPA Liaison:  Jeff Atkins, Virginia Commonwealth University, Biology, Richmond, United States

Cross-Listed:
  • GC - Global Environmental Change
Index Terms:

0414 Biogeochemical cycles, processes, and modeling [BIOGEOSCIENCES]
0439 Ecosystems, structure and dynamics [BIOGEOSCIENCES]
0480 Remote sensing [BIOGEOSCIENCES]
1640 Remote sensing [GLOBAL CHANGE]

Abstracts Submitted to this Session:

Using Aircraft Remote Sensing to Map Tree Species Distribution at Harvard Forest, Massachusetts, USA (416239)
Jack Hastings1, Franklin Sullivan1, Scott V Ollinger1, Andrew Ouimette2 and Michael W Palace3, (1)University of New Hampshire, Earth Systems Research Center, Durham, United States, (2)University of New Hampshire, Department of Natural Resources and the Environment, Durham, United States, (3)University of New Hampshire, Dept. of Earth Sciences and Earth Systems Research Center, Durham, United States
Mapping Peatland Belowground C Stock by Using UAV-based Aboveground Vegetation Attributes as Proxies (383031)
Javier Lopatin1, Teja Kattenborn1, Mauricio Humberto Galleguillos2, Jorge Francisco Perez-Quezada3 and Sebastian Schmidtlein1, (1)Karlsruhe Institute of Technology, Karlsruhe, Germany, (2)University of Chile, Santiago, Chile, (3)University of Chile, Environmental Science and Renewable Natural Resources, Santiago, Chile
3D canopy structure and biotic resistance to invasion in North American forests (378284)
Elizabeth LaRue, University of Texas El Paso, El Paso, United States, Brady S Hardiman, Purdue University, Forestry & Natural Resources and Division of Environmental & Ecological Engineering, West Lafayette, United States, Jessica Elliot, Purdue University, FNR, West Lafayette, United States, Jeff Atkins, Virginia Commonwealth University, Biology, Richmond, United States and Songlin Fei, Purdue University, Forestry and Natural Resources, West Lafayette, United States
Assessing Salt Marsh Vulnerability Potential Through the use of High Resolution Hyperspectral Imagery (456092)
Sarah Goldsmith1, Anna Christina Tyler2, Charles M Bachmann1, David Osgood3, Rehman Saifee Eon1 and Christopher Lapszynski4, (1)Rochester Institute of Technology, Rochester, NY, United States, (2)Rochester Institute of Technology, Thomas H. Gosnell School of Life Sciences, Rochester, United States, (3)Albright College, Reading, PA, United States, (4)Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, Rochester, NY, United States
Documenting Microtopographic Change of Tundra Landscapes using Terrestrial LiDAR: A Case Study in a High-Arctic Tundra Ecosystem (446093)
Tabatha Fuson1, Ryan P Cody1, Sergio A Vargas Zesati1, Stephen Michael Escarzaga1, Steven F Oberbauer2 and Craig E. Tweedie1, (1)University of Texas at El Paso, El Paso, TX, United States, (2)Florida International University, Biological Sciences, Miami, United States
Examining temporal changes in foliar nutrient content and reflectance spectra of plant species through succession (364741)
Alexandra Parisien1, Kelsey Susanne Huelsman1 and Howard E Epstein2, (1)University of Virginia, Charlottesville, VA, United States, (2)University of Virginia, Department of Environmental Sciences, Charlottesville, United States
Investigation of the potential impact of land use/land cover changes on the urban ecosystem services of Colombo metropolitan region in Sri Lanka: A scenario-based approach (462479)
Athukorala Arachchige SUMUDU Darshana, University of Tsukuba, Graduate School of Life and Environmental Sciences, Division of Spatial Information Science, Tsukuba, Japan
Aerial photograph time series and UAS Remote Sensing application to study rapid ecosystem change of palsa mires in Fennoscandinavia. (453452)
Timo Kumpula1, Mariana Verdonen2, Pasi Korpelainen3, Tiina Kolari3, Seppo Tuominen4 and Teemu Tahvanainen3, (1)University of Eastern Finland, Department of Geographical and Historical Studies, Joensuu, Finland, (2)Agricultural University of Iceland, Environmental and Forest Sciences, Reykjavik, Iceland, (3)University of Eastern Finland, Joensuu, Finland, (4)Finnish Environment Institute (SYKE, Helsinki, Finland
Monitoring vegetation greening at alpine treeline ecotones using airborne laser scanning and Landsat time-series (452101)
Douglas Kane Bolton1, Nicholas C Coops2, Txomin Hermosilla3, Michael Wulder4 and Joanne White4, (1)Boston University, Earth & Environment, Boston, United States, (2)University of British Columbia, Department of Forest Resources Management, Vancouver, BC, Canada, (3)University of British Columbia, Forest Resources Management, Faculty of Forestry, Vancouver, BC, Canada, (4)Natural Resources Canada, Canadian Forest Service, Victoria, BC, Canada
Phenological indicators of vegetation recovery in restored wetland (466454)
Sophie Taddeo, University of California Berkeley, Landscape Architecture and Environmental Planning, Berkeley, CA, United States and Iryna Dronova, University of California Berkeley, Depts. of Environmental Science, Policy & Management and Landscape Architecture and Environmental Planning, Berkeley, CA, United States
Picture worth a thousand words: updating repeat photography for the 21st century scientist. (373915)
William M. Hammond1, Marie E.B. Stone2, Jackson Delametter3, Kaleb Cooper3 and Paul A. Stone2, (1)University of Florida, Agronomy Department, Ft Walton Beach, FL, United States, (2)University of Central Oklahoma, Biology, Edmond, OK, United States, (3)Oklahoma State University Main Campus, Stillwater, United States
The Relative Sensitivity of Forest Productivity to Landscape Position vs. Microtopography (461105)
Soudeh Ghasemian, University of Kansas, Department of Geography and Atmospheric Science, Lawrence, KS, United States, Jude Kastens, University of Kansas, Kansas Biological Survey, Lawrence, United States and Sharon A Billings, University of Kansas, Department of Ecology and Evolutionary Biology and Kansas Biological Survey and Center for Ecological Research, Lawrence, KS, United States
Using Terrestrial LiDAR to Examine Forest Structural Complexity Following Disturbance (467963)
Ellen JoAnne Stuart-Haëntjens1, Jeff Atkins2, Robert Timothy Fahey3, Alex Theodore Fotis4, Raleigh D Ricart4, Brady S Hardiman5 and Christopher Michael Gough6, (1)U.S. Geological Survey, California Water Science Center, Sacramento, CA, United States, (2)Virginia Commonwealth University, Biology, Richmond, United States, (3)University of Connecticut, Natural Resources and the Environment, Storrs, United States, (4)Ohio State University Main Campus, Columbus, OH, United States, (5)Purdue University, Forestry and Natural Resources, West Lafayette, United States, (6)Virginia Commonwealth University, Biology, Richmond, VA, United States
Long-Term Changes in Forest Structure and Carbon Dioxide Fluxes in Natural Forest in South Korea (359369)
Chanwoo Park1, SoonJin Yun2, JungHwa Chun2 and JongHwan Lim2, (1)National Institute of Forest Science, Research Planning and Coordination Division, Seoul, South Korea, (2)National Institute of Forest Science, Seoul, South Korea
Registration of Airborne and Terrestrial LiDAR Point Clouds of Forest Based on ICP Algorithm (404772)
Leiyu Dai, Shihua Li and Sen Lin, University of Electronic Science and Technology of China, School of Resources and Environment, Chengdu, China
Using Hyperspectral Imagery to Detect an Invasive Fungal Pathogen and Determine Symptom Severity in Pinus Strobiformis Seedlings (456924)
Marja Haagsma1, Gerald F M Page2, Jeremy S Johnson3, Christopher J Still2 and John Steven Selker1, (1)Oregon State University, Biological and Ecological Engineering, Corvallis, OR, United States, (2)Oregon State University, Forest Ecosystems and Society, Corvallis, OR, United States, (3)Northern Arizona University, Flagstaff, AZ, United States
Spatio-Temporal Dynamics of Biomass Production in the part of Doon Valley, India using MODIS data and Google Earth Engine Cloud Computing. (440427)
Saurabh Purohit1, Shiv Prasad Aggarwal1 and Natvarlal R Patel2, (1)Indian Institute of Remote Sensing, Water Resources Department, Dehradun, India, (2)Indian Institute of Remote Sensing, Agriculture and Soils Department, Dehradun, India
Forest stand structure and dynamics of warm temperate forest in Mt. Geumsan, Korea (462923)
Yun Soon JIn1, Chanwoo Park2, JungHwa Chun1 and JongHwan Lim1, (1)National Institute of Forest Science, Seoul, South Korea, (2)National Institute of Forest Science, Research Planning and Coordination Division, Seoul, South Korea
Inconsistent estimates of forest cover change in China between 2000 and 2013 from multiple datasets: differences in parameters, spatial resolution, and definitions (434594)
Safa Motesharrei1, Yan Li2, Damien J Sulla-Menashe3, Xiao-Peng Song4, Eugenia Kalnay5, Qing Ying6 and Shuangcheng Li2, (1)University of Maryland College Park, Institute for Physical Science and Technology, College Park, MD, United States, (2)Peking University, Beijing, China, (3)Boston University, Earth and Environment, Boston, MA, United States, (4)Univeristy of Maryland, College Park, United States, (5)University of Maryland College Park, Department of Atmospheric and Oceanic Science, College Park, MD, United States, (6)NASA GSFC/UMD ESSIC, College Park, United States

See more of: Biogeosciences