Advances in Remote Sensing Techniques and Applications I

Type: Virtual Paper
Sponsor Groups: Remote Sensing Specialty Group
Poster #:
Day: 4/8/2021
Start / End Time: 1:30 PM / 2:45 PM (PDT)
Room: Virtual 13
Organizers: Philip Dennison
Chairs: Philip Dennison

Call for Submissions

This session is open to all presentations featuring novel remote sensing techniques or applications. All remote sensing technologies are welcome, including (but not limited to) multispectral, hyperspectral, thermal infrared, high resolution, drone/unmanned aerial systems, lidar, and synthetic aperture radar remote sensing.


The diversity and availability of remote sensing technologies used to measure and monitor the Earth continues to grow. A decades-long record of multispectral remote sensing allows quantification of change and mapping at regional-to-global scales, drones provide easily accessible imagery at very high spatial resolution, and rapidly evolving technologies like hyperspectral, lidar, and radar remote sensing have enabled retrieval of a new array of biogeophysical variables. This session features novel remote sensing, with respect to either the techniques being applied to remotely sensed data or to the remote sensing application.


Type Details Minutes Start Time
Presenter Enbo Zhou*, Department of Geography, Univeristy of California, Santa Barbara, Dar Roberts, Department of Geography, University of California, Santa Barbara, Mapping Crop Types in California Central Valley Using Deep Learning 15 1:30 PM
Presenter Alexandra Evans*, University of New Hampshire, Kevin Gardner, University of Louisville, Scott Greenwood, University of New Hampshire, Brett Still, University of Rhode Island, Denise Burchsted, Keene State College, Evaluating the Ecological Impacts of Dam Removal Using Drones, Structure-from-Motion, and Machine Learning 15 1:45 PM
Presenter Xuebin Yang*, University of Oklahoma, Xiangming Xiao, University of Oklahoma, Yuanwei Qin, University of Oklahoma, Jie Wang, China Agricultural University, Kevin Neal, University of Oklahoma, Mapping trees and evergreen trees in Southern Great Plains with PALSAR-2 and Landsat 8 data 15 2:00 PM
Presenter Caitlin Alyssa Sliva*, University of Missouri, Clayton F. Blodgett, University of Missouri, Using Deep Learning for Land Classification and Change Detection within the Konza Prairie, 1985-2011 15 2:15 PM
Presenter Philip E Dennison*, University of Utah, Patrick R Sullivan, University of Utah, Markus D Foote, University of Utah, Kelly B O'Neill, University of Utah, Sarang Joshi, University of Utah, Andrew K. Thorpe, Jet Propulsion Laboratory, California Institute of Technology, Measuring Greenhouse Gas Point Source Emissions using Hyperspectral Remote Sensing 15 2:30 PM

To access contact information login