Natural Resources

Vol.6 No.2(2015), Paper ID 54109, 7 pages

DOI:10.4236/nr.2015.62011

 

Long-Term Application of Remote Sensing Chlorophyll Detection Models: Jordanelle Reservoir Case Study

 

Carly Hyatt Hansen, Gustavious P. Williams, Zola Adjei

 

Department of Civil and Environmental Engineering, University of Utah, Salt Lake City, USA
Department of Civil and Environmental Engineering, Brigham Young University, Provo, USA
Department of Civil and Environmental Engineering, Brigham Young University, Provo, USA

 

Copyright © 2015 Carly Hyatt Hansen, Gustavious P. Williams, Zola Adjei et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

 

How to Cite this Article


Hansen, C. , Williams, G. and Adjei, Z. (2015) Long-Term Application of Remote Sensing Chlorophyll Detection Models: Jordanelle Reservoir Case Study. Natural Resources, 6, 123-129. doi: 10.4236/nr.2015.62011.

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