Empirical Methods for Remote Sensing of Nitrogen in Drylands May Lead to Unreliable Interpretation of Ecosystem Function by Dashti, Hamid, Glenn, Nancy F., Ustin, Susan, Mitchell, Jessica J., Qi, Yi, Ilangakoon, Nayani T., Flores, Alejandro N., Silvan-Cardenas, Jose Luis, Zhao, Kaiguang, Spaete, Lucas P., de Graaff, Marie-Anne

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Constraining plant functional types in a semi-arid ecosystem with waveform lidar by Ilangakoon, Nayani T., Glenn, Nancy F., Dashti, Hamid, Painter, Thomas H., Mikesell, T. Dylan, Spaete, Lucas P., Mitchell, Jessica J., Shannon, Kyle

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Estimating Leaf Area Index by Bayesian Linear Regression Using Terrestrial LiDAR, LAI-2200 Plant Canopy Analyzer, and Landsat TM Spectral Indices by Ilangakoon, Nayani T., Gorsevski, Pece V., Simic Milas, Anita

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Reimagine fire science for the anthropocene by Shuman, Jacquelyn K, Balch, Jennifer K, Barnes, Rebecca T, Higuera, Philip E, Roos, Christopher I, Schwilk, Dylan W, Stavros, E Natasha, Banerjee, Tirtha, Bela, Megan M, Bendix, Jacob, Bertolino, Sandro, Bililign, Solomon, Bladon, Kevin D, Brando, Paulo, Breidenthal, Robert E, Buma, Brian, Calhoun, Donna, Carvalho, Leila M V, Cattau, Megan E, Cawley, Kaelin M, Chandra, Sudeep, Chipman, Melissa L, Cobian-Iñiguez, Jeanette, Conlisk, Erin, Coop, Jonathan D, Cullen, Alison, Davis, Kimberley T, Dayalu, Archana, De Sales, Fernando, Dolman, Megan, Ellsworth, Lisa M, Franklin, Scott, Guiterman, Christopher H, Hamilton, Matthew, Hanan, Erin J, Hansen, Winslow D, Hantson, Stijn, Harvey, Brian J, Holz, Andrés, Huang, Tao, Hurteau, Matthew D, Ilangakoon, Nayani T, Jennings, Megan, Jones, Charles, Klimaszewski-Patterson, Anna, Kobziar, Leda N, Kominoski, John, Kosovic, Branko, Krawchuk, Meg A, Laris, Paul, Leonard, Jackson, Loria-Salazar, S Marcela, Lucash, Melissa, Mahmoud, Hussam, Margolis, Ellis, Maxwell, Toby, McCarty, Jessica L, McWethy, David B, Meyer, Rachel S, Miesel, Jessica R, Moser, W Keith, Nagy, R Chelsea, Niyogi, Dev, Palmer, Hannah M, Pellegrini, Adam, Poulter, Benjamin, Robertson, Kevin, Rocha, Adrian V, Sadegh, Mojtaba, Santos, Fernanda, Scordo, Facundo, Sexton, Joseph O, Sharma, A Surjalal, Smith, Alistair M S, Soja, Amber J, Still, Christopher, Swetnam, Tyson, Syphard, Alexandra D, Tingley, Morgan W, Tohidi, Ali, Trugman, Anna T, Turetsky, Merritt, Varner, J Morgan, Wang, Yuhang, Whitman, Thea, Yelenik, Stephanie, Zhang, Xuan

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Airborne and Spaceborne Lidar Reveal Trends and Patterns of Functional Diversity in a Semi-Arid Ecosystem by Ilangakoon, Nayani, Glenn, Nancy F., Schneider, Fabian D., Dashti, Hamid, Hancock, Steven, Spaete, Lucas, Goulden, Tristan

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Regional Scale Dryland Vegetation Classification with an Integrated Lidar-Hyperspectral Approach by Dashti, Hamid, Poley, Andrew, F. Glenn, Nancy, Ilangakoon, Nayani, Spaete, Lucas, Roberts, Dar, Enterkine, Josh, N. Flores, Alejandro, L. Ustin, Susan, J. Mitchell, Jessica

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Performance of the ecosystem demography model (EDv2.2) in simulating gross primary production capacity and activity in a dryland study area by Dashti, Hamid, Pandit, Karun, Glenn, Nancy F., Shinneman, Douglas J., Flerchinger, Gerald N., Hudak, Andrew T., de Graaf, Marie Anne, Flores, Alejandro, Ustin, Susan, Ilangakoon, Nayani, Fellows, Aaron W.

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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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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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