I am a Ph.D. student of Dr. Erle Ellis in the Geography and Environmental Systems department at the University of Maryland Baltimore County.

My dissertation research focuses on the development of 'user-deployed' tools for making observations of landscape vegetation using very inexpensive remote sensing tools.  Working with fellow researchers at UMBC, I use kites, and remote conotrolled airplanes and helicopters to take high-resolution photos of forests and the surrounding landscape using regular digital cameras.  Then, using computer vision software, I generate full-color, 3D reconstructions of landscape vegetation that are used to map forest height and estimate forest biomass, and may be useful for mapping individual tree crowns of different canopy species.

To learn more about our 3D vegetation mapping project, check out our 'Ecosynth' website at http://ecotope.org/ecosynth

We also post weekly updates on research progress related to ecology, engineering and computer science on the Ecosynth Blog at http://ecotope.org/ecosynth/blog

You can also learn more about the research of our lab in general by checking out the Human Landscapes blog at http://ecotope.org/blogs


Publications:
Dandois J.P., Ellis E.C. Remote Sensing of Vegetation Structure Using Computer Vision. Remote Sensing. 2010; 2(4):1157-1176.

Presentations:
Dandois J.P., Ellis E.C. Oral presentation in OOS-18: Citizen Science to Remote Sensing.  ESA 2010 Annual Meeting, Pittsburgh PA, August 3, 2010.

Dandois J.P., Ellis E.C. Poster: Three Dimensional Remote Sensing of Vegetation in Human Landscapes Using Computer Vision Technologies. AGU 2009 Annual Meting, San Francisco, CA. December 2009.

Dandois J.P., Ellis E.C. Poster: Measuring vegetation structure and biomass in human landscapes using ground based three-dimensional scene reconstruction. ESA 2009 Annual Meeting

Gallery:

Coming Soon!