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Victoria M. Scholl
Victoria M. Scholl
Verified email at usgs.gov
Title
Cited by
Cited by
Year
Social‐environmental extremes: Rethinking extraordinary events as outcomes of interacting biophysical and social systems
JK Balch, V Iglesias, AE Braswell, MW Rossi, MB Joseph, AL Mahood, ...
Earth's Future 8 (7), e2019EF001319, 2020
452020
Integrating National Ecological Observatory Network (NEON) airborne remote sensing and in-situ data for optimal tree species classification
VM Scholl, ME Cattau, MB Joseph, JK Balch
Remote Sensing 12 (9), 1414, 2020
422020
Harnessing the NEON data revolution to advance open environmental science with a diverse and data‐capable community
RC Nagy, JK Balch, EK Bissell, ME Cattau, NF Glenn, BS Halpern, ...
Ecosphere 12 (12), e03833, 2021
222021
Fusion neural networks for plant classification: learning to combine RGB, hyperspectral, and lidar data
VM Scholl, J McGlinchy, T Price-Broncucia, JK Balch, MB Joseph
PeerJ 9, e11790, 2021
122021
Social-environmental extremes: Rethinking extraordinary events as outcomes of interacting biophysical and social systems, Earth’s Future, 8, e2019EF001319
JK Balch, V Iglesias, AE Braswell, MW Rossi, MB Joseph, AL Mahood, ...
62020
NEON algorithm theoretical basis document (ATBD): ecosystem structure
T Goulden, V Scholl
NEON, 2019.(2019-07-01)[2021-09-06]. https:∥ data. neonscience. org/api/v0 …, 2019
62019
Removing glint with video processing to enhance underwater target detection
V Scholl, A Gerace
2013 IEEE Western New York Image Processing Workshop (WNYIPW), 18-21, 2013
62013
Remote sensing‐based forest modeling reveals positive effects of functional diversity on productivity at local spatial scale
FD Schneider, M Longo, E Paul‐Limoges, VM Scholl, B Schmid, ...
Journal of Geophysical Research: Biogeosciences 128 (6), e2023JG007421, 2023
52023
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
52021
Ten simple rules for working with high resolution remote sensing data
AL Mahood, MB Joseph, AI Spiers, MJ Koontz, N Ilangakoon, KK Solvik, ...
Peer Community Journal 3, 2023
32023
Harnessing commercial satellite technologies to monitor our forests
BR Johnson, J McGlinchy, M Cattau, M Joseph, V Scholl
Remote sensing and modeling of ecosystems for sustainability XV 10767, 1076702, 2018
32018
Motion picture science: A fully integrated fine Arts/STEM degree program
VM Scholl, MM Iafrati, DL Long, JJ Pow
2014 IEEE Integrated STEM Education Conference, 1-6, 2014
32014
NEON Algorithm Theoretical Basis Document (ATBD): Ecosystem Structure(NEON Doc.#: NEON. DOC. 002387; Revision A)
T Goulden, V Scholl
22019
Democratizing macroecology: Integrating unoccupied aerial systems with the National Ecological Observatory Network
MJ Koontz, VM Scholl, AI Spiers, ME Cattau, J Adler, J McGlinchy, ...
Ecosphere 13 (8), e4206, 2022
12022
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
2023
Guidelines for calibration of uncrewed aircraft systems imagery
A Sampath, M Shrestha, M While, VM Scholl
Open-File Report, 2023
2023
Analyzing the Relationship of Forest Structural Diversity to Biotic Resistance to Invasion using NEON Data
R Nagy, C Amaral, J Balch, NT Ilangakoon, M Kalantri, EA LaRue, ...
AGU Fall Meeting Abstracts 2022, B26B-07, 2022
2022
Western US forest vegetation recovery under compound disturbances
N Ilangakoon, J Balch, M Cattau, R Nagy, C Wessman, EN Stavros, ...
AGU Fall Meeting Abstracts 2021, B52B-05, 2021
2021
UAS for Forest Inventory Traits: A Review
A Spiers, V Scholl, J McGlinchy, J Balch, ME Cattau
EcoEvoRxiv, 2021
2021
Assessing The Integration and Pre-Processing of Neon Airborne Remote Sensing and in-Situ Data for Optimal Tree Species Classification
VM Scholl
University of Colorado at Boulder, 2019
2019
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Articles 1–20