نتائج البحث - "Scholl, Victoria M."

المساهمون: National Science Foundation, Gordon and Betty Moore Foundation’s Data-Driven Discovery Initiative, NSF Dimension of Biodiversity Program Grant, USDA/NIFA McIntire-Stennis Program, University of Florida Biodiversity Institute, Informatics Institute (UFII) Graduate Fellowship

المصدر: PeerJ ; volume 11, page e16578 ; ISSN 2167-8359

الاتاحة: http://dx.doi.org/10.7717/peerj.16578
https://peerj.com/articles/16578.pdf
https://peerj.com/articles/16578.xml
https://peerj.com/articles/16578.html

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6

Academic Journal

Hyperspectral Image Transects during Transient Events in Rivers (HITTER): Framework Development and Application to a Tracer Experiment on the Missouri River, USA.

المؤلفون: Legleiter, Carl J.¹ (AUTHOR) cjl@usgs.gov, Scholl, Victoria M.² (AUTHOR) vscholl@usgs.gov, Sansom, Brandon J.³ (AUTHOR) bsansom@usgs.gov, Burgess, Matthew A.² (AUTHOR) maburgess@usgs.gov

المصدر: Remote Sensing. Oct2024, Vol. 16 Issue 19, p3743. 33p.

مصطلحات موضوعية: *REMOTE sensing, *WATER supply, *RATIO analysis, *PROOF of concept, *POLLUTANTS

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7

Academic Journal

Democratizing macroecology: Integrating unoccupied aerial systems with the National Ecological Observatory Network

المؤلفون: Koontz, Michael J., Scholl, Victoria M., Spiers, Anna I., Cattau, Megan E., Adler, John, McGlinchy, Joseph, Goulden, Tristan, Melbourne, Brett A., Balch, Jennifer K.

المساهمون: Cooperative Institute for Research in Environmental Sciences, National Aeronautics and Space Administration, National Science Foundation of Sri Lanka

المصدر: Ecosphere ; volume 13, issue 8 ; ISSN 2150-8925 2150-8925

الاتاحة: http://dx.doi.org/10.1002/ecs2.4206
https://onlinelibrary.wiley.com/doi/pdf/10.1002/ecs2.4206
https://onlinelibrary.wiley.com/doi/full-xml/10.1002/ecs2.4206
https://esajournals.onlinelibrary.wiley.com/doi/pdf/10.1002/ecs2.4206

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8

Academic Journal

Harnessing the NEON data revolution to advance open environmental science with a diverse and data-capable community

المؤلفون: Nagy, R. Chelsea, Balch, Jennifer K., Bissell, Erin K., Cattau, Megan E., Glenn, Nancy F., Halpern, Benjamin S., Ilangakoon, Nayani, Johnson, Brian, Joseph, Maxwell B., Marconi, Sergio, O’Riordan, Catherine, Sanovia, James, Swetnam, Tyson L., Travis, William R., Wasser, Leah A., Woolner, Elizabeth, Zarnetske, Phoebe, Abdulrahim, Mujahid, Adler, John, Barnes, Grenville, Bartowitz, Kristina J., Blake, Rachael E., Bombaci, Sara P., Brun, Julien, Buchanan, Jacob D., Chadwick, K. Dana, Chapman, Melissa S., Chong, Steven S., Chung, Y. Anny, Corman, Jessica R., Couret, Jannelle, Crispo, Erika, Doak, Thomas G., Donnelly, Alison, Duffy, Katharyn A., Dunning, Kelly H., Duran, Sandra M., Edmonds, Jennifer W., Fairbanks, Dawson E., Felton, Andrew J., Florian, Christopher R., Gann, Daniel, Gebhardt, Martha, Gill, Nathan S., Gram, Wendy K., Guo, Jessica S., Harvey, Brian J., Hayes, Katherine R., Helmus, Matthew R., Hensley, Robert T., Hondula, Kelly L., Huang, Tao, Hundertmark, Wiley J., Iglesias, Virginia, Jacinthe, Pierre‐Andre, Jansen, Lara S., Jarzyna, Marta A., Johnson, Tiona M., Jones, Katherine D., Jones, Megan A., Just, Michael G., Kaddoura, Youssef O., Kagawa‐Vivani, Aurora K., Kaushik, Aleya, Keller, Adrienne B., King, Katelyn B. S., Kitzes, Justin, Koontz, Michael J., Kouba, Paige V., Kwan, Wai‐Yin, LaMontagne, Jalene M., LaRue, Elizabeth A., Li, Daijiang, Li, Bonan, Lin, Yang, Liptzin, Daniel, Long, William Alex, Mahood, Adam L., Malloy, Samuel S., Malone, Sparkle L., McGlinchy, Joseph M., Meier, Courtney L., Melbourne, Brett A., Mietkiewicz, Nathan, Morisette, Jeffery T., Moustapha, Moussa, Muscarella, Chance, Musinsky, John, Muthukrishnan, Ranjan, Naithani, Kusum, Neely, Merrie, Norman, Kari, Parker, Stephanie M., Perez Rocha, Mariana, Petri, Laís, Ramey, Colette A., Record, Sydne, Rossi, Matthew W., SanClements, Michael, Scholl, Victoria M., Schweiger, Anna K., Seyednasrollah, Bijan, Sihi, Debjani, Smith, Kathleen R., Sokol, Eric R., Spaulding, Sarah A., Spiers, Anna I., St. Denis, Lise A., Staccone, Anika P., Stack Whitney, Kaitlin, Stanitski, Diane M., Stricker, Eva, Surasinghe, Thilina D., Thomsen, Sarah K., Vasek, Patrisse M., Xiaolu, Li, Yang, Di, Yu, Rong, Yule, Kelsey M., Zhu, Kai

المساهمون: Earth Sciences, School of Science

المصدر: Publisher

مصطلحات موضوعية: continental-scale ecology, National Ecological Observatory Network, community

وصف الملف: application/pdf

Relation: Ecosphere; Nagy, R. C., Balch, J. K., Bissell, E. K., Cattau, M. E., Glenn, N. F., Halpern, B. S., Ilangakoon, N., Johnson, B., Joseph, M. B., Marconi, S., O’Riordan, C., Sanovia, J., Swetnam, T. L., Travis, W. R., Wasser, L. A., Woolner, E., Zarnetske, P., Abdulrahim, M., Adler, J., … Zhu, K. (2021). Harnessing the NEON data revolution to advance open environmental science with a diverse and data-capable community. Ecosphere, 12(12), e03833. https://doi.org/10.1002/ecs2.3833; 2150-8925, 2150-8925; https://hdl.handle.net/1805/31052

الاتاحة: https://hdl.handle.net/1805/31052

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9

Academic Journal

Fusion neural networks for plant classification: learning to combine RGB, hyperspectral, and lidar data

المؤلفون: Scholl, Victoria M., McGlinchy, Joseph, Price-Broncucia, Teo, Balch, Jennifer K., Joseph, Maxwell B.

المساهمون: Earth Lab

المصدر: PeerJ ; volume 9, page e11790 ; ISSN 2167-8359

الاتاحة: http://dx.doi.org/10.7717/peerj.11790
https://peerj.com/articles/11790.pdf
https://peerj.com/articles/11790.xml
https://peerj.com/articles/11790.html

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10

Academic Journal

Integrating National Ecological Observatory Network (NEON) Airborne Remote Sensing and In-Situ Data for Optimal Tree Species Classification

المؤلفون: Scholl, Victoria M., Cattau, Megan E., Joseph, Maxwell B., Balch, Jennifer K.

المصدر: Human-Environment Systems Research Center Faculty Publications and Presentations

مصطلحات موضوعية: airborne remote sensing, tree species classification, National Ecological Observatory Network, machine learning, hyperspectral, multispectral, Environmental Sciences, Terrestrial and Aquatic Ecology

وصف الملف: application/pdf

Relation: https://scholarworks.boisestate.edu/hes_facpubs/46; https://scholarworks.boisestate.edu/context/hes_facpubs/article/1046/viewcontent/Cattau__Megan__2020__Integrating_National_Ecological___PUB.pdf

الاتاحة: https://scholarworks.boisestate.edu/hes_facpubs/46
https://scholarworks.boisestate.edu/context/hes_facpubs/article/1046/viewcontent/Cattau__Megan__2020__Integrating_National_Ecological___PUB.pdf

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11

Academic Journal

Remote Sensing-Based Forest Modeling Reveals Positive Effects of Functional Diversity on Productivity at Local Spatial Scale

المؤلفون: Schneider, Fabian D., Longo, Marcos, Paul-Limoges, Eugénie, Scholl, Victoria M., Schmid, Bernhard, Morsdorf, Felix, Pavlick, Ryan P., Schimel, David S., Schaepman, Michael E., Moorcroft, Paul R.

المصدر: Schneider , F D , Longo , M , Paul-Limoges , E , Scholl , V M , Schmid , B , Morsdorf , F , Pavlick , R P , Schimel , D S , Schaepman , M E & Moorcroft , P R 2023 , ' Remote Sensing-Based Forest Modeling Reveals Positive Effects of Functional Diversity on Productivity at Local Spatial Scale ' , Journal of Geophysical Research: Biogeosciences , bind 128 , nr. 6 , s. e2023JG007421 . https://doi.org/10.1029/2023JG007421

مصطلحات موضوعية: biodiversity, ecosystem functioning, imaging spectroscopy, lidar, terrestrial biosphere modeling, functional diversity

Relation: https://pure.au.dk/portal/en/publications/2a4faee4-a3f8-41db-9a4e-56aeae5a0a4c

الاتاحة: https://pure.au.dk/portal/en/publications/2a4faee4-a3f8-41db-9a4e-56aeae5a0a4c
https://doi.org/10.1029/2023JG007421
https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2023JG007421

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