Sarah J. Graves

发表

Impact of atmospheric correction and image filtering on hyperspectral classification of tree species using support vector machine

Daisy Zhe Wang, Milenko Petrovic, Morteza Shahriari Nia, 2015 .

Women are underrepresented on the editorial boards of journals in environmental biology and natural resource management

Sarah J. Graves, Oscar Gonzalez, Emilio M. Bruna, 2014, PeerJ.

A digital mapping method for linking high-resolution remote sensing images to individual tree crowns

Sarah J. Graves, Stephanie A. Bohlman, Justin Gearhart, 2018 .

Tree Species Abundance Predictions in a Tropical Agricultural Landscape with a Supervised Classification Model and Imbalanced Data

Gregory Asner, Roberta E. Martin, Sarah J. Graves, 2016, Remote. Sens..

A benchmark dataset for individual tree crown delineation in co-registered airborne RGB, LiDAR and hyperspectral imagery from the National Ecological Observation Network

Sergio Marconi, Ethan P. White, Sarah J. Graves, 2020 .

A remote sensing derived dataset of 100 million individual tree crowns for the National Ecological Observatory Network

Sergio Marconi, Sarah J. Graves, Ethan P. White, 2021 .

Rethinking the fundamental unit of ecological remote sensing: Estimating individual level plant traits at scale

Sarah J. Graves, Stephanie A. Bohlman, Ben. G. Weinstein, 2019, bioRxiv.

Integrating LiDAR‐derived tree height and Landsat satellite reflectance to estimate forest regrowth in a tropical agricultural landscape

Sarah J. Graves, Stephanie A. Bohlman, G. Asner, 2016 .

A new urban landscape in East–Southeast Asia, 2000–2010

Sarah J. Graves, Nirav N. Patel, A. Tatem, 2015 .

A data science challenge for converting airborne remote sensing data into ecological information

Sergio Marconi, Stephanie Ann Bohlman, Sarah J. Graves, 2018, PeerJ.

A tree-based approach to biomass estimation from remote sensing data in a tropical agricultural landscape

Sarah J. Graves, Gregory P. Asner, Stephanie A. Bohlman, 2018, Remote Sensing of Environment.

A data science challenge for converting airborne remote sensing data into ecological information

Sergio Marconi, Bonnie J. Dorr, Sarah J. Graves, 2018 .

Estimating individual level plant traits at scale.

Sarah J. Graves, Ben. G. Weinstein, E. White, 2021, Ecological applications : a publication of the Ecological Society of America.

A benchmark dataset for canopy crown detection and delineation in co-registered airborne RGB, LiDAR and hyperspectral imagery from the National Ecological Observation Network

Sarah J. Graves, Stephanie A. Bohlman, Ben. G. Weinstein, 2021, PLoS Comput. Biol..

High-Resolution Remote Sensing Data as a Boundary Object to Facilitate Interdisciplinary Collaboration

Sarah J. Graves, G. Asner, B. Tarbox, 2019, Collaboration Across Boundaries for Social-Ecological Systems Science.

1 A data science challenge for converting airborne remote sensing data 2 into ecological information 3

Sarah J. Graves, Craig S. Greenberg, Stephanie A. Bohlman, 2019 .

Injecting Domain Knowledge Into Deep Neural Networks for Tree Crown Delineation

Sarah J. Graves, Stephanie A. Bohlman, D. Wang, 2022, IEEE Transactions on Geoscience and Remote Sensing.

NEON Crowns: a remote sensing derived dataset of 100 million individual tree crowns

Sarah J. Graves, Ben. G. Weinstein, Alina Zare, 2020, bioRxiv.

Hyperspectral Measurement of Seasonal Variation in the Coverage and Impacts of an Invasive Grass in an Experimental Setting

Sarah J. Graves, Stephanie A. Bohlman, Sarah Graves, 2018, Remote. Sens..

TRY plant trait database - enhanced coverage and open access.

Denis Bastianelli, Yuanzhi Li, Ben Somers, 2019, Global change biology.

Outer bark thickness decreases more with height on stems of fire-resistant than fire-sensitive Floridian oaks (Quercus spp.; Fagaceae).

Sarah J. Graves, F. Putz, S. Rifai, 2014, American journal of botany.

A remote sensing derived data set of 100 million individual tree crowns for the National Ecological Observatory Network

Sarah J. Graves, Ben. G. Weinstein, E. White, 2021, eLife.

One-Class Gaussian Process for Possibilistic Classification Using Imaging Spectroscopy

Paul D. Gader, Sarah J. Graves, Leila Kalantari, 2016, IEEE Geoscience and Remote Sensing Letters.

A hyperspectral image can predict tropical tree growth rates in single-species stands.

Sarah J. Graves, Gregory P Asner, Michiel van Breugel, 2016, Ecological applications : a publication of the Ecological Society of America.

Capturing long‐tailed individual tree diversity using an airborne imaging and a multi‐temporal hierarchical model

Sarah J. Graves, Stephanie A. Bohlman, Ben. G. Weinstein, 2023, Remote Sensing in Ecology and Conservation.

Capturing long-tailed individual tree diversity using an airborne multi-temporal hierarchical model

Sarah J. Graves, Ben. G. Weinstein, E. White, 2022, bioRxiv.

Data science competition for cross-site delineation and classification of individual trees from airborne remote sensing data

Sarah J. Graves, Stephanie A. Bohlman, D. Wang, 2021, bioRxiv.

Data science competition for cross-site individual tree species identification from airborne remote sensing data

Sarah J. Graves, Maxwell B. Joseph, Ben. G. Weinstein, 2023, PeerJ.

Estimating individual level plant traits at scale 1

Sarah J. Graves, Stephanie A. Bohlman, Ben. G. Weinstein, 2020 .