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Sarah J. Graves
Sarah J. Graves
Verified email at wisc.edu
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Cited by
Year
TRY plant trait database–enhanced coverage and open access
J Kattge, G B÷nisch, S DÝaz, S Lavorel, IC Prentice, P Leadley, ...
Global change biology 26 (1), 119-188, 2020
7492020
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
1592015
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
1082014
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
722016
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
562014
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
372019
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
292016
Rethinking the fundamental unit of ecological remote sensing: Estimating individual level plant traits at scale
S Marconi, SJ Graves, BG Weinstein, S Bohlman, EP White
BioRxiv, 556472, 2019
28*2019
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
282018
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
262021
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
212016
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
142018
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
112021
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
102015
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
62016
High-resolution remote sensing data as a boundary object to facilitate interdisciplinary collaboration
TT Caughlin, SJ Graves, GP Asner, BC Tarbox, SA Bohlman
Collaboration across boundaries for social-ecological systems scienceá…, 2019
52019
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
42020
Hyperspectral measurement of seasonal variation in the coverage and impacts of an invasive grass in an experimental setting
Y Guo, S Graves, SL Flory, S Bohlman
Remote Sensing 10 (5), 784, 2018
42018
Data science competition for cross-site delineation and classification of individual trees from airborne remote sensing data
SJ Graves, S Marconi, D Stewart, I Harmon, BG Weinstein, Y Kanazawa, ...
bioRxiv, 2021.08. 06.453503, 2021
32021
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
22022
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Articles 1–20