The Ecosynth project is supported by a
grant from NSF's Advances in Bioinformatics Program (2012).
The project began in Spring 2009 with support from the USFS
and the UMBC CUERE IGERT.
Publications
Dandois, J. P. and E. C. Ellis. 2013. High spatial
resolution three-dimensional mapping of vegetation spectral dynamics using
computer vision. Remote Sensing of Environment 136:259-276. [download]
[blog
post]
Dandois, J. P. and E. C. Ellis. 2010. Remote sensing of
vegetation structure using computer vision.
Remote Sensing
2(4):1157-1176. [download]
Zahawi, R., J.P. Dandois, K.D. Holl, D. Nadwodny, L.J. Reid, and
E.C.
Ellis. 2015. Using lightweight unmanned aerial vehicles to monitor tropical
forest recovery.
Biological Conservation 186:287–295. [download]
Dandois, J.P., D. Nadwodny, E. Anderson, A. Bofto, M. Baker, and E.C. Ellis.
2015. Forest census and map data for two temperate deciduous forest edge
woodlot patches in Baltimore, Maryland, USA.
Ecology 96:1734-1734.
[download]
[download
dataset]
Dandois, J.,M. Olano, and E.C. Ellis. 2015. Optimal Altitude,
Overlap, and Weather Conditions for Computer Vision UAV Estimates of Forest
Structure. Remote Sensing 7(10): 13895-13920. [download]
Dandois, J. P., M. Baker, M. Olano, G. G. Parker, and E. C. Ellis.
2017. What is the point? Evaluating the structure, color, and
semantic traits of computer vision point clouds of vegetation.
Remote Sensing
9:355. [download]
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