Lake water quality monitoring using hyperspectral airborne data—a semiempirical multisensor and multitemporal approach for the Mecklenburg Lake District, Germany-Reference-Cited by-同舟云学术

Lake water quality monitoring using hyperspectral airborne data—a semiempirical multisensor and multitemporal approach for the Mecklenburg Lake District, Germany

Published:2002-08 Issue:2-3 Volume:81 Page:228-237
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Thiemann Sabine,Kaufmann Hermann

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference39 articles.

1. A remote sensing reflectance model of a red-tide dinoflagellate off west Florida;Carder;Limnology and Oceanography,1985

2. A trophic state index for lakes;Carlson;Limnology and Oceanography,1977

3. AIS-2 radiometry and a comparison of methods for the recovery of ground reflectance;Conel,1987

4. A spectral bandwidth characterization methodology for imaging spectrometers: application to casi;Czapla-Myers,1999

5. Dekker, A. G. (1993). Detection of optical water quality parameters for eutrophic waters by high resolution remote sensing. PhD Thesis, Vrije Universiteit, Amsterdam, The Netherlands.

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