Stephanie A. Bohlman

According to our database, Stephanie A. Bohlman authored at least 14 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Comparing Phenology of a Temperate Deciduous Forest Captured by Solar-Induced Fluorescence and Vegetation Indices.

Trina Merrick, Ralf Bennartz, Maria Luisa S. P. Jorge, Carli Merrick, Stephanie A. Bohlman, Carlos Alberto Silva, Stephanie Pau

Remote. Sens., November, 2023

Improving Rare Tree Species Classification Using Domain Knowledge.

Ira Harmon, Sergio Marconi, Ben G. Weinstein, Yang Bai, Daisy Zhe Wang, Ethan P. White, Stephanie A. Bohlman

IEEE Geosci. Remote. Sens. Lett., 2023

2022

Injecting Domain Knowledge Into Deep Neural Networks for Tree Crown Delineation.

Ira Harmon, Sergio Marconi, Ben G. Weinstein, Sarah Graves, Daisy Zhe Wang, Alina Zare, Stephanie A. Bohlman, Aditya Singh, Ethan P. White

IEEE Trans. Geosci. Remote. Sens., 2022

2021

RandCrowns: A Quantitative Metric for Imprecisely Labeled Tree Crown Delineation.

Dylan Stewart, Alina Zare, Sergio Marconi, Ben G. Weinstein, Ethan P. White, Sarah J. Graves, Stephanie A. Bohlman, Aditya Singh

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

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

Ben G. Weinstein, Sarah J. Graves, Sergio Marconi, Aditya Singh, Alina Zare, Dylan Stewart, Stephanie A. Bohlman, Ethan P. White

PLoS Comput. Biol., 2021

Addressing Annotation Imprecision for Tree Crown Delineation Using the RandCrowns Index.

Dylan Stewart, Alina Zare, Sergio Marconi, Ben G. Weinstein, Ethan P. White, Sarah Graves, Stephanie A. Bohlman, Aditya Singh

CoRR, 2021

2020

Cross-site learning in deep learning RGB tree crown detection.

Ben G. Weinstein, Sergio Marconi, Stephanie A. Bohlman, Alina Zare, Ethan P. White

Ecol. Informatics, 2020

2019

Individual Tree-Crown Detection in RGB Imagery Using Semi-Supervised Deep Learning Neural Networks.

Ben G. Weinstein, Sergio Marconi, Stephanie A. Bohlman, Alina Zare, Ethan P. White

Remote. Sens., 2019

Quantifying Leaf Phenology of Individual Trees and Species in a Tropical Forest Using Unmanned Aerial Vehicle (UAV) Images.

John Y. Park, Helene C. Muller-Landau, Jeremy W. Lichstein, Sami W. Rifai, Jonathan P. Dandois, Stephanie A. Bohlman

Remote. Sens., 2019

2018

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

Yuxi Guo, Sarah Graves, S. Luke Flory, Stephanie A. Bohlman

Remote. Sens., 2018

2016

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

Sarah J. Graves, Gregory P. Asner, Roberta E. Martin, Christopher B. Anderson, Matthew S. Colgan, Leila Kalantari, Stephanie A. Bohlman

Remote. Sens., 2016

One-Class Gaussian Process for Possibilistic Classification Using Imaging Spectroscopy.

Leila Kalantari, Paul D. Gader, Sarah Graves, Stephanie A. Bohlman

IEEE Geosci. Remote. Sens. Lett., 2016

2014

Evaluating similarity measures for hyperspectral classification of tree species at Ordway-Swisher Biological Station.

Leila Kalantari, Paul D. Gader, Sarah Graves, Stephanie A. Bohlman

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2011

Estimation of the Distribution of <i>Tabebuia guayacan </i>(Bignoniaceae) Using High-Resolution Remote Sensing Imagery.

G. Arturo Sanchez-Azofeifa, Benoit Rivard, Joseph Wright, Jilu Feng, Peijun Li, Mei Mei Chong, Stephanie A. Bohlman

Sensors, 2011