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Jonathan P Dandois
Titolo
Citata da
Citata da
Anno
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
6672013
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
4922015
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
3292015
Remote sensing of vegetation structure using computer vision
JP Dandois, EC Ellis
Remote sensing 2 (4), 1157-1176, 2010
3242010
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
992019
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
442017
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
322012
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
242017
Strong temporal variation in treefall and branchfall rates in a tropical forest is related to extreme rainfall: results from 5 years of monthly drone data for a 50 ha plot
RF Araujo, S Grubinger, CHS Celes, RI Negrón-Juárez, M Garcia, ...
Biogeosciences 18 (24), 6517-6531, 2021
152021
Remote sensing of vegetation structure using computer vision. Remote Sens. 2, 1157–1176
JP Dandois, EC Ellis
112010
Strong temporal variation in treefall and branchfall rates in a tropical forest is explained by rainfall: results from five years of monthly drone data for a 50-ha plot
RF Araujo, S Grubinger, CHS Celes, RI Negrón-Juárez, M Garcia, ...
Biogeosciences Discussions 20, 1-9, 2021
82021
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
42014
Quantifying asynchronous species-specific canopy leaf phenology using camera-mounted UAV images
JY Park, SW Rifai, J Dandois, JW Lichstein, H Muller-Landau, S Bohlman
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, H Muller-Landau, S 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
Il sistema al momento non puň eseguire l'operazione. Riprova piů tardi.
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