Identification and quantification of aquatic vegetation with hyperspectral remote sensing in western Nevada rivers, USA-Reference-Cited by-同舟云学术

Identification and quantification of aquatic vegetation with hyperspectral remote sensing in western Nevada rivers, USA

Published:2011-10-13 Issue:24 Volume:32 Page:9093-9117
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Lee Baek Soo¹,McGwire Kenneth C.¹,Fritsen Christian H.¹

Affiliation:

1. a Desert Research Institute, Division of Earth and Ecosystem Sciences , 2215 Raggio Parkway, Reno , NV , 89512 , USA

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2010.549850

Reference40 articles.

1. APHA (American Public Health Association) . 1998. Standard Methods for the Examination of Water and Wastewater, Edited by: L.S. Clesceri , A.E. Greenberg and Eaton , A.D. 10–34. Baltimore, MD: American Public Health Association.

2. Use of in situ and airborne reflectance for scaling-up spectral discrimination of coral reef macroalgae from species to communities

3. Application of airborne imaging spectrometry system data to intertidal seaweed classification and mapping

4. Brooks , K.N. Folliott , P.F. Gregersen , H.M. and DeBano , L.F. 2003. Hydrology and the Management of Watersheds, 3rd, 263–273. 285Ames, IA: Iowa State Press.

5. Derivative reflectance spectroscopy to estimate suspended sediment concentration

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