Zobrazeno 1 - 10
of 111
pro vyhledávání: '"T. Dinter"'
Autor:
P. Mueller, L. M. Schile-Beers, T. J. Mozdzer, G. L. Chmura, T. Dinter, Y. Kuzyakov, A. V. de Groot, P. Esselink, C. Smit, A. D'Alpaos, C. Ibáñez, M. Lazarus, U. Neumeier, B. J. Johnson, A. H. Baldwin, S. A. Yarwood, D. I. Montemayor, Z. Yang, J. Wu, K. Jensen, S. Nolte
Publikováno v:
Biogeosciences, Vol 15, Pp 3189-3202 (2018)
Tidal wetlands, such as tidal marshes and mangroves, are hotspots for carbon sequestration. The preservation of organic matter (OM) is a critical process by which tidal wetlands exert influence over the global carbon cycle and at the same time gai
Externí odkaz:
https://doaj.org/article/3ed1d9aa96de4ec09458e38402b21d04
Publikováno v:
Ocean Science, Vol 11, Iss 3, Pp 373-389 (2015)
The availability of light in the ocean is an important parameter for the determination of phytoplankton photosynthesis processes and primary production from satellite data. It is also a useful parameter for other applications, e.g. the determination
Externí odkaz:
https://doaj.org/article/2d921956accf4e7ea9098e5e942dd91c
Publikováno v:
Ocean Science, Vol 11, Iss 1, Pp 139-158 (2015)
The composition and abundance of algal pigments provide information on phytoplankton community characteristics such as photoacclimation, overall biomass and taxonomic composition. In particular, pigments play a major role in photoprotection and in th
Externí odkaz:
https://doaj.org/article/82391d55da164b7687d3cde3ecab4766
Publikováno v:
Ocean Science, Vol 8, Iss 6, Pp 1055-1070 (2012)
The goal of this study was to improve PhytoDOAS, which is a new retrieval method for quantitative identification of major phytoplankton functional types (PFTs) using hyper-spectral satellite data. PhytoDOAS is an extension of the Differential Optical
Externí odkaz:
https://doaj.org/article/30f19a1969c34b7aa894225c4ca4f479
Publikováno v:
Biogeosciences, Vol 9, Iss 6, Pp 2127-2143 (2012)
In this study temporal variations of coccolithophore blooms are investigated using satellite data. Eight years (from 2003 to 2010) of data of SCIAMACHY, a hyper-spectral satellite sensor on-board ENVISAT, were processed by the PhytoDOAS method to mon
Externí odkaz:
https://doaj.org/article/9aa89b9c5b29474db7881e76991b5a27
Publikováno v:
Atmospheric Measurement Techniques, Vol 4, Iss 3, Pp 523-534 (2011)
Results of a new methodology for retrievals of surface particulate matter concentration (PM10) from satellite reflectance measurements over Germany are presented in this paper. The retrieval derives effective radii from Ångström-α exponents and be
Externí odkaz:
https://doaj.org/article/05293c809e1b45bc84c06241da76bf00
Autor:
W. von Hoyningen-Huene, J. Yoon, M. Vountas, L. G. Istomina, G. Rohen, T. Dinter, A. A. Kokhanovsky, J. P. Burrows
Publikováno v:
Atmospheric Measurement Techniques, Vol 4, Iss 2, Pp 151-171 (2011)
For the determination of aerosol optical thickness (AOT) Bremen AErosol Retrieval (BAER) has been developed. Method and main features on the aerosol retrieval are described together with validation and results. The retrieval separates the spectral ae
Externí odkaz:
https://doaj.org/article/e91ba1bda20e460ebd1951993c8274b0
Autor:
C. Schlundt, A. A. Kokhanovsky, W. von Hoyningen-Huene, T. Dinter, L. Istomina, J. P. Burrows
Publikováno v:
Atmospheric Measurement Techniques, Vol 4, Iss 2, Pp 319-337 (2011)
Since clouds play an essential role in the Earth's climate system, it is important to understand the cloud characteristics as well as their distribution on a global scale using satellite observations. The main scientific objective of SCIAMACHY (SCann
Externí odkaz:
https://doaj.org/article/0b13b37ed2354606870af989bf5afe66
Publikováno v:
Biogeosciences, Vol 6, Iss 5, Pp 751-764 (2009)
In this study the technique of Differential Optical Absorption Spectroscopy (DOAS) has been adapted for the retrieval of the absorption and biomass of two major phytoplankton groups (PhytoDOAS) from data of the Scanning Imaging Absorption Spectromete
Externí odkaz:
https://doaj.org/article/5c714d7909474f26b71268664bad5a19
Publikováno v:
Atmospheric Chemistry and Physics, Vol 9, Iss 4, Pp 1279-1288 (2009)
A simple scheme has been developed to discriminate surface, sun glint and cloud properties in satellite based spectrometer data utilizing visible and near infrared information. It has been designed for the use with data measured by SCIAMACHY's (SCann
Externí odkaz:
https://doaj.org/article/f296101abc4147a5976d9afe4dcb8084