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
4762013
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
2712015
Remote sensing of vegetation structure using computer vision
JP Dandois, EC Ellis
Remote sensing 2 (4), 1157-1176, 2010
2332010
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
2122015
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
312012
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
262017
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
252019
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
112017
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
32015
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
AGU Fall Meeting Abstracts 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
EGU General Assembly Conference Abstracts, 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
AGU Fall Meeting Abstracts 2015, B53I-02, 2015
2015
Closing Scale Gaps in Ecological Research using Unmanned Aerial Vehicles: a meta-data synthesis
RH Grossman, K Guan, LD Estes, KK Caylor, JP Dandois
AGU Fall Meeting Abstracts 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
Three Dimensional Remote Sensing of Vegetation in Human Landscapes Using Computer Vision Technologies
J Dandois, EC Ellis
AGU Fall Meeting Abstracts 2009, B31B-0343, 2009
2009
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Articles 1–20