2018 ESA Annual Meeting (August 5 -- 10)

OOS 11 - Cutting-Edge Remote Sensing Applications in Ecology: Spanning Scales, Sensors, and Ecosystems

Tuesday, August 7, 2018: 1:30 PM-5:00 PM
348-349, New Orleans Ernest N. Morial Convention Center
Organizer:
Jeffrey Atkins
Co-organizers:
Brady Hardiman , Kyla Dahlin and Elizabeth A. LaRue
Moderator:
Jeffrey Atkins
Remote sensing technologies and techniques provide a critical link in improving our understanding of ecological processes as they scale measurements of single leaves and plants to entire ecosystems. Growing availability of both advanced sensor technologies and data collected by these sensors has spurred the development of new methods and applications. These cutting-edge applications are rapidly advancing our ability to measure and map ecosystem composition, structure, and function, and leverage these measurements to strengthen links between such observations and broad-scale biospheric processes and disturbances. Passive (optical multi- and hyperspectral, and thermal infrared) and active (lidar and radar) sensors enable scientists to make complementary ecological measurements at a range of spatial scales.These sensors can collect data on the ground, over smaller, targeted areas of interest on platforms such as Unmanned Aerial Systems (UAS/UAV), over broader regions when mounted on aircraft, and globally via satellite platforms. In particular, sensors mounted on aerial platforms, such as UAS, are becoming increasingly important for bridging ground and spaceborne observations. Relevant and exciting advances in ecological applications of remote sensing include using LiDAR data to characterize vegetation structure and imaging spectroscopy (hyperspectral) data to map plant species composition and measure plant function. This session will include speakers working with lidar, hyperspectral, and thermal to improve our ability to measure carbon & photosynthesis, vegetation structure and change, drought impacts, and plant species over a range of scales and across various ecosystems.
1:30 PM
Mapping leaf traits within and among forest canopies with airborne remote sensing
Kyla Dahlin, Michigan State University; Aaron G. Kamoske, Michigan State University; Shawn P. Serbin, Brookhaven National Laboratory; Scott C. Stark, Michigan State University
1:50 PM
Use of multiple remote sensing platforms to examine spatial patterns and temporal dynamics of arctic tundra vegetation
Howard Epstein, University of Virginia; Uma S Bhatt, University of Alaska Fairbanks; Donald A. Walker, University of Alaska; Martha K Raynolds, University of Alaska; Gerald V. Frost, ABR, Inc.
2:30 PM
Measuring tropical tree growth rates via spectroscopy and leaf traits to monitor reforestation on degraded lands
Sarah Graves, University of Florida, University of Wisconsin-Madison; T. Trevor Caughlin, Boise State University; Martijn Slot, Smithsonian Tropical Research Institute; Stephanie Bohlman, University of Florida
2:50 PM
Upscaling semi-arid ecosystem carbon fluxes using spaceborne imagery: A machine learning approach
Mallory L. Barnes, University of Arizona; Russell L. Scott, USDA-ARS; David J.P. Moore, University of Arizona; Guillermo E. Ponce-Campos, USDA-ARS; Joel A. Biederman, USDA-ARS; Natasha MacBean, University of Arizona; David D. Breshears, University of Arizona
3:10 PM
3:20 PM
Remote sensing of plant spectral diversity to predict ecosystem function
Anna K. Schweiger, University of Minnesota; Jeannine Cavender-Bares, University of Minnesota; Philip Townsend, University of Wisconsin-Madison; Sarah E. Hobbie, University of Minnesota; Michael D. Madritch, Appalachian State University; Ran Wang, University of Alberta; David Tilman, University of Minnesota; John A. Gamon, University of Nebraska - Lincoln
3:40 PM
Landsat models of Spartina alterniflora belowground biomass in Georgia salt marshes
Jessica L. O'Connell, University of Georgia; Deepak Mishra, University of Georgia; Merryl Alber, University of Georgia; Kristin B. Byrd, U.S. Geological Survey
4:00 PM
Vegetation spectroscopy of tropical forests: Scaling from leaves to landscapes
Jin Wu, Brookhaven National Laboratory; Hideki Kobayashi, Japan Agency for Marine-Earth Science and Technology; Scott C Stark, Michigan State University; Brett T. Wolfe, Smithsonian Tropical Research Institute; Kim Ely, Brookhaven National Laboratory; Ran Meng, Brookhaven National Laboratory; Bruce Nelson, Brazil's National Institute for Amazon Research (INPA); Alfredo Huete, University of Technology; Scott R. Saleska, University of Arizona; Alistair Rogers, Brookhaven National Laboratory; Shawn P. Serbin, Brookhaven National Laboratory
4:20 PM
Linking Landsat to terrestrial LIDAR: Spectral indices of greenness and brightness are correlated with canopy structural complexity
Elizabeth A. LaRue, Purdue University; Jeffrey Atkins, Virginia Commonwealth University; Kyla Dahlin, Michigan State University; Robert Fahey, University of Connecticut; Songlin Fei, Purdue University; Christopher Gough, Virginia Commonwealth University; Brady Hardiman, Purdue University
4:40 PM