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

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