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Sarah J. Graves
Sarah J. Graves
Bestätigte E-Mail-Adresse bei wisc.edu
Titel
Zitiert von
Zitiert von
Jahr
TRY plant trait database–enhanced coverage and open access
J Kattge, G Bönisch, S Díaz, S Lavorel, IC Prentice, P Leadley, ...
Global change biology 26 (1), 119-188, 2020
15172020
A new urban landscape in East–Southeast Asia, 2000–2010
A Schneider, CM Mertes, AJ Tatem, B Tan, D Sulla-Menashe, SJ Graves, ...
Environmental Research Letters 10 (3), 034002, 2015
1972015
Women are underrepresented on the editorial boards of journals in environmental biology and natural resource management
AH Cho, SA Johnson, CE Schuman, JM Adler, O Gonzalez, SJ Graves, ...
PeerJ 2, e542, 2014
1262014
Tree species abundance predictions in a tropical agricultural landscape with a supervised classification model and imbalanced data
SJ Graves, GP Asner, RE Martin, CB Anderson, MS Colgan, L Kalantari, ...
Remote Sensing 8 (2), 161, 2016
902016
Outer bark thickness decreases more with height on stems of fire‐resistant than fire‐sensitive Floridian oaks (Quercus spp.; Fagaceae)
SJ Graves, SW Rifai, FE Putz
American Journal of Botany 101 (12), 2183-2188, 2014
752014
A remote sensing derived data set of 100 million individual tree crowns for the National Ecological Observatory Network
BG Weinstein, S Marconi, SA Bohlman, A Zare, A Singh, SJ Graves, ...
Elife 10, e62922, 2021
642021
A data science challenge for converting airborne remote sensing data into ecological information
S Marconi, SJ Graves, D Gong, MS Nia, M Le Bras, BJ Dorr, P Fontana, ...
PeerJ 6, e5843, 2019
432019
A tree-based approach to biomass estimation from remote sensing data in a tropical agricultural landscape
SJ Graves, TT Caughlin, GP Asner, SA Bohlman
Remote sensing of environment 218, 32-43, 2018
382018
Integrating Li DAR‐derived tree height and Landsat satellite reflectance to estimate forest regrowth in a tropical agricultural landscape
TT Caughlin, SW Rifai, SJ Graves, GP Asner, SA Bohlman
Remote Sensing in Ecology and Conservation 2 (4), 190-203, 2016
382016
A benchmark dataset for canopy crown detection and delineation in co-registered airborne RGB, LiDAR and hyperspectral imagery from the National Ecological Observation Network
BG Weinstein, SJ Graves, S Marconi, A Singh, A Zare, D Stewart, ...
PLoS computational biology 17 (7), e1009180, 2021
362021
Estimating individual‐level plant traits at scale
S Marconi, SJ Graves, BG Weinstein, S Bohlman, EP White
Ecological Applications 31 (4), e02300, 2021
29*2021
A hyperspectral image can predict tropical tree growth rates in single‐species stands
TT Caughlin, SJ Graves, GP Asner, M Van Breugel, JS Hall, RE Martin, ...
Ecological Applications 26 (8), 2369-2375, 2016
262016
A digital mapping method for linking high-resolution remote sensing images to individual tree crowns
S Graves, J Gearhart, TT Caughlin, S Bohlman
PeerJ Preprints 6, e27182v1, 2018
182018
Impact of atmospheric correction and image filtering on hyperspectral classification of tree species using support vector machine
M Shahriari Nia, DZ Wang, SA Bohlman, P Gader, SJ Graves, M Petrovic
Journal of Applied Remote Sensing 9 (1), 095990-095990, 2015
132015
NEON Crowns: a remote sensing derived dataset of 100 million individual tree crowns
BG Weinstein, S Marconi, S Bohlman, A Zare, A Singh, SJ Graves, ...
BioRxiv, 2020.09. 08.287839, 2020
102020
One-class Gaussian process for possibilistic classification using imaging spectroscopy
L Kalantari, P Gader, S Graves, SA Bohlman
IEEE Geoscience and Remote Sensing Letters 13 (7), 967-971, 2016
92016
Capturing long‐tailed individual tree diversity using an airborne imaging and a multi‐temporal hierarchical model
BG Weinstein, S Marconi, SJ Graves, A Zare, A Singh, SA Bohlman, ...
Remote Sensing in Ecology and Conservation 9 (5), 656-670, 2023
8*2023
Species‐level tree crown maps improve predictions of tree recruit abundance in a tropical landscape
C Barber, SJ Graves, JS Hall, PA Zuidema, J Brandt, SA Bohlman, ...
Ecological Applications 32 (5), e2585, 2022
82022
Data science competition for cross-site individual tree species identification from airborne remote sensing data
SJ Graves, S Marconi, D Stewart, I Harmon, B Weinstein, Y Kanazawa, ...
PeerJ 11, e16578, 2023
7*2023
Injecting domain knowledge into deep neural networks for tree crown delineation
I Harmon, S Marconi, B Weinstein, S Graves, DZ Wang, A Zare, ...
IEEE Transactions on Geoscience and Remote Sensing 60, 1-19, 2022
72022
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