Jonathan P Dandois
Title
Cited by
Cited by
Year
High spatial resolution three-dimensional mapping of vegetation spectral dynamics using computer vision
JP Dandois, EC Ellis
Remote Sensing of Environment 136, 259-276, 2013
4372013
Optimal altitude, overlap, and weather conditions for computer vision UAV estimates of forest structure
JP Dandois, M Olano, EC Ellis
Remote Sensing 7 (10), 13895-13920, 2015
2502015
Remote sensing of vegetation structure using computer vision
JP Dandois, EC Ellis
Remote sensing 2 (4), 1157-1176, 2010
2202010
Using lightweight unmanned aerial vehicles to monitor tropical forest recovery
RA Zahawi, JP Dandois, KD Holl, D Nadwodny, JL Reid, EC Ellis
Biological Conservation 186, 287-295, 2015
2032015
The photochemical reflectance index from directional cornfield reflectances: observations and simulations
YB Cheng, EM Middleton, Q Zhang, LA Corp, J Dandois, WP Kustas
Remote sensing of environment 124, 444-453, 2012
292012
What is the point? Evaluating the structure, color, and semantic traits of computer vision point clouds of vegetation
JP Dandois, M Baker, M Olano, GG Parker, EC Ellis
Remote Sensing 9 (4), 355, 2017
252017
Quantifying leaf phenology of individual trees and species in a tropical forest using unmanned aerial vehicle (UAV) images
JY Park, HC Muller-Landau, JW Lichstein, SW Rifai, JP Dandois, ...
Remote Sensing 11 (13), 1534, 2019
222019
Drones as a tool for monoculture plantation assessment in the steepland tropics
E Miller, JP Dandois, M Detto, JS Hall
Forests 8 (5), 168, 2017
102017
Remote sensing of vegetation structure using computer vision. Remote Sens. 2, 1157–1176
JP Dandois, EC Ellis
92010
Forest census and map data for two temperate deciduous forest edge woodlot patches in Baltimore, Maryland, USA: Ecological Archives E096‐156
JP Dandois, D Nadwodny, E Anderson, A Bofto, M Baker, EC Ellis
Ecology 96 (6), 1734-1734, 2015
42015
Remote sensing of vegetation structure using computer vision
JP Dandois
UNIVERSITY OF MARYLAND, BALTIMORE COUNTY, 2014
22014
Quantifying asynchronous species-specific canopy leaf phenology using camera-mounted UAV images
JY Park, SW Rifai, J Dandois, JW Lichstein, HC Muller-Landau, ...
2018 ESA Annual Meeting (August 5--10), 2018
2018
Intra-and interspecific variation in tropical tree and liana phenology derived from Unmanned Aerial Vehicle images
S Bohlman, J Park, HC Muller-Landau, SW Rifai, JP Dandois
AGUFM 2017, B34C-05, 2017
2017
Drones as a Tool for Monoculture Plantation Assessment in the Steepland Tropics.
JS Hall, E Miller, M Detto, JP Dandois
Forests (19994907) 8 (5), 2017
2017
Community patterns of tropical tree phenology derived from Unmanned Aerial Vehicle images: intra-and interspecific variation, association with species plant traits, and …
S Bohlman, S Rifai, J Park, J Dandois, H Muller-Landau
EGUGA, 11262, 2017
2017
Using unmanned aerial vehicles to quantify phenology of a tropical forest
JY Park, JP Dandois, JW Lichstein, HC Muller-Landau, SA Bohlman
101st ESA Annual Meeting (August 7--12, 2016), 2016
2016
Tracking the Creation of Tropical Forest Canopy Gaps with UAV Computer Vision Remote Sensing
JP Dandois
AGUFM 2015, B53I-02, 2015
2015
High spatial resolution three-dimensional mapping of vegetation spectral dynamics using computer vision and hobbyist unmanned aerial vehicles
JP Dandois, EC Ellis
AGUFM 2013, B34A-01, 2013
2013
Closing Scale Gaps in Ecological Research using Unmanned Aerial Vehicles: a meta-data synthesis
RH Grossman, K Guan, LD Estes, KK Caylor, JP Dandois
AGUFM 2013, B52D-08, 2013
2013
OOS 18-10: Remote sensing of vegetation structure using computer vision
JP Dandois, EC Ellis
The 95th ESA Annual Meeting, 2010
2010
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Articles 1–20