Empirical Methods for Remote Sensing of Nitrogen in Drylands May Lead to Unreliable Interpretation of Ecosystem Function

Authors

• Hamid Dashti, Boise State University
• Nancy F. Glenn, Boise State University
• Susan Ustin, University of California-Davis
• Jessica J. Mitchell, University of Montana
• Yi Qi, University of Nebraska-LincolnFollow
• Nayani T. Ilangakoon, Boise State University
• Alejandro N. Flores, Boise State University
• Jose Luis Silvan-Cardenas, Centro de Investigación en Ciencias de Información Geoespacial
• Kaiguang Zhao, Ohio State University
• Lucas P. Spaete, Superior Geospatial
• Marie-Anne de Graaff, Boise State University

Document Type

Article

Date of this Version

2019

Citation

Dashti, H., Glenn, N.F., Ustin, S., Mitchell, J.J., Qi, Y., Ilangakoon, N.T., Flores, A.N., Silvan-Cardenas, J.L., Zhao, K., Spaete, L.P., & Graaff, M.d. (2019). Empirical Methods for Remote Sensing of Nitrogen in Drylands May Lead to Unreliable Interpretation of Ecosystem Function. IEEE Transactions on Geoscience and Remote Sensing, 1-12

Comments

RS-3799