Neuerscheinungen 2011Stand: 2020-01-07 |
Schnellsuche
ISBN/Stichwort/Autor
|
Herderstraße 10 10625 Berlin Tel.: 030 315 714 16 Fax 030 315 714 14 info@buchspektrum.de |
Leonid Sokoletsky
Optical methods for the estimation of phytoplankton concentration
In situ and remote sensing bio-optical methods for the estimation of phytoplankton concentration in the Gulf of Aqaba (Eilat)
2011. 276 S. 220 mm
Verlag/Jahr: VDM VERLAG DR. MÜLLER 2011
ISBN: 3-639-35819-8 (3639358198)
Neue ISBN: 978-3-639-35819-3 (9783639358193)
Preis und Lieferzeit: Bitte klicken
The development of bio-optical algorithms for estimation of phytoplankton pigment concentration (C) and chlorophyll a concentration (Chl a) from measurements of inherent optical properties or apparent optical properties, made by in situ or remote sensors is the main aim of the present work. This aim was achieved mainly by consideration of optical processes and interactions in the integrated natural system, including atmosphere, air/water interface and water body. The present work focuses on the Case 1, meso-oligotrophic waters of the Gulf of Aqaba (Eilat). The work is based mainly on the use of the extensive ocean optics literature, measurements in the Gulf and in the atmosphere nearby, developments in the sphere of radiative transfer theory and bio-optical modelling. During the study the following main problems and issues were considered: - Physical optics of the ocean, including radiative transfer theory - Solar irradiance and atmospheric transmittance models - In situ and remote sensing problems of the estimation of C and Chl a, including sensitivity analysis of inverse bio-optical models - Methods of solution of mathematically ill-posed (incorrect) problems.
Leonid Sokoletsky is a member of the American Geophysical Union and the Optical Society of America. He is the author of 17 peer-reviewed and 13 proceeding articles, and 2 patents in the fields of colloid optics, ocean and atmospheric optics, radiative transfer and remote sensing. He received the M. S. degree in Automatic Control Systems in 1983.