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
1342020
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
1122015
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
69*2014
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
532016
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
332014
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
192016
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
172019
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
152019
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
152016
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
142018
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
72018
Impact of atmospheric correction and image filtering on hyperspectral classification of tree species using support vector machine
MS Nia, DZ Wang, SA Bohlman, PD Gader, SJ Graves, M Petrovic
Journal of Applied Remote Sensing 9 (1), 095990, 2015
72015
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
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
32018
Contribution of Tropical Agricultural Trees to Species Diversity and Carbon: A New Landscape Perspective Enabled by High-Resolution Hyperspectral and Lidar Images
S Graves
University of Florida, 2014
22014
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 Science, 295-326, 2019
12019
Understanding species composition from NEON high resolution hyperspectral-LIDAR data across a heterogeneous landscape: Effects of land use, fire regime and topography
S Bohlman, S Graves, M Shahriari Nia, G Paul, K Leila, DZ Wang
AGU Fall Meeting Abstracts 2015, B53I-07, 2015
12015
A benchmark dataset for individual tree crown delineation in co-registered airborne RGB, LiDAR and hyperspectral imagery from the National Ecological Observation Network
B Weinstein, S Graves, S Marconi, A Singh, A Zare, D Stewart, S Bohlman, ...
bioRxiv, 2020
2020
NEON Crowns: a remote sensing derived dataset of 100 million individual tree crowns
B Weinstein, S Marconi, S Bohlman, A Zare, A Singh, S Graves, E White
bioRxiv, 2020
2020
Scaling up remote sensing fundamental unit: from pixel to crowns. Inferring forest structure and traits syndromes for each individual tree within NEON forest sites
S Marconi, SJ Graves, S Bohlman, JW Lichstein, A Singh, EP White
2018 ESA Annual Meeting (August 5--10), 2018
2018
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