Harnessing the NEON data revolution to advance open environmental science with a diverse and data‐capable community by Nagy, R. Chelsea, Cattau, Megan E., 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, Blake, Rachael E., 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, Iglesias, Virginia, Jarzyna, Marta A., Johnson, Tiona M., Jones, Katherine D., Jones, Megan A., Just, Michael G., Kaddoura, Youssef O., Kagawa‐Vivani, Aurora K., Keller, Adrienne B., King, Katelyn B. S., Kitzes, Justin, Koontz, Michael J., Kwan, Wai‐Yin, LaRue, Elizabeth A., Li, Daijiang, Li, Bonan, Lin, Yang, Liptzin, Daniel, Long, William Alex, Mahood, Adam L., Malone, Sparkle L., McGlinchy, Joseph M., Meier, Courtney L., Melbourne, Brett A., Morisette, Jeffery T., Muscarella, Chance, 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, Schweiger, Anna K., Seyednasrollah, Bijan, Smith, Kathleen R., Sokol, Eric R., Spaulding, Sarah A., Spiers, Anna I., St. Denis, Lise A., Staccone, Anika P., Stanitski, Diane M., Stricker, Eva, Surasinghe, Thilina D., Thomsen, Sarah K., Vasek, Patrisse M., Xiaolu, Li, Yu, Rong, Yule, Kelsey M., Zhu, Kai

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Fusion neural networks for plant classification: learning to combine RGB, hyperspectral, and lidar data by Scholl, Victoria M, McGlinchy, Joseph, Price-Broncucia, Teo, Balch, Jennifer K, Joseph, Maxwell B

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Data science competition for cross-site individual tree species identification from airborne remote sensing data by Graves, Sarah J, Marconi, Sergio, Stewart, Dylan, Harmon, Ira, Weinstein, Ben, Kanazawa, Yuzi, Scholl, Victoria M, Joseph, Maxwell B, McGlinchy, Joseph, Browne, Luke, Sullivan, Megan K, Estrada-Villegas, Sergio, Wang, Daisy Zhe, Singh, Aditya, Bohlman, Stephanie, Zare, Alina, White, Ethan P

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Democratizing macroecology: Integrating unoccupied aerial systems with the National Ecological Observatory Network by Koontz, Michael J., Scholl, Victoria M., Spiers, Anna I., Cattau, Megan E., Adler, John, McGlinchy, Joseph, Goulden, Tristan, Melbourne, Brett A., Balch, Jennifer K.

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Ten simple rules for working with high resolution remote sensing data by Mahood, Adam L., Joseph, Maxwell B., Spiers, Anna I., Koontz, Michael J., Ilangakoon, Nayani, Solvik, Kylen K., Quarderer, Nathan, McGlinchy, Joe, Scholl, Victoria M., St. Denis, Lise A., Nagy, Chelsea, Braswell, Anna, Rossi, Matthew W., Herwehe, Lauren, Wasser, Leah, Cattau, Megan E., Iglesias, Virginia, Yao, Fangfang, Leyk, Stefan, Balch, Jennifer K.

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