TY  - JOUR
A1  - Brockmann, Carsten
A1  - Gronau, Norbert
A1  - Sultanow, Eldar
T1  - ERP und MES : Teil 3
Y1  - 2008
SN  - 1617-948X
ER  - 
TY  - JOUR
A1  - Kokhanovsky, Alexander
A1  - Lamare, Maxim
A1  - Danne, Olaf
A1  - Brockmann, Carsten
A1  - Dumont, Marie
A1  - Picard, Ghislain
A1  - Arnaud, Laurent
A1  - Favier, Vincent
A1  - Jourdain, Bruno
A1  - Le Meur, Emmanuel
A1  - Di Mauro, Biagio
A1  - Aoki, Teruo
A1  - Niwano, Masashi
A1  - Rozanov, Vladimir
A1  - Korkin, Sergey
A1  - Kipfstuhl, Sepp
A1  - Freitag, Johannes
A1  - Hoerhold, Maria
A1  - Zuhr, Alexandra
A1  - Vladimirova, Diana
A1  - Faber, Anne-Katrine
A1  - Steen-Larsen, Hans Christian
A1  - Wahl, Sonja
A1  - Andersen, Jonas K.
A1  - Vandecrux, Baptiste
A1  - van As, Dirk
A1  - Mankoff, Kenneth D.
A1  - Kern, Michael
A1  - Zege, Eleonora
A1  - Box, Jason E.
T1  - Retrieval of Snow Properties from the Sentinel-3 Ocean and Land Colour Instrument
JF  - Remote sensing
N2  - The Sentinel Application Platform (SNAP) architecture facilitates Earth Observation data processing. In this work, we present results from a new Snow Processor for SNAP. We also describe physical principles behind the developed snow property retrieval technique based on the analysis of Ocean and Land Colour Instrument (OLCI) onboard Sentinel-3A/B measurements over clean and polluted snow fields. Using OLCI spectral reflectance measurements in the range 400-1020 nm, we derived important snow properties such as spectral and broadband albedo, snow specific surface area, snow extent and grain size on a spatial grid of 300 m. The algorithm also incorporated cloud screening and atmospheric correction procedures over snow surfaces. We present validation results using ground measurements from Antarctica, the Greenland ice sheet and the French Alps. We find the spectral albedo retrieved with accuracy of better than 3% on average, making our retrievals sufficient for a variety of applications. Broadband albedo is retrieved with the average accuracy of about 5% over snow. Therefore, the uncertainties of satellite retrievals are close to experimental errors of ground measurements. The retrieved surface grain size shows good agreement with ground observations. Snow specific surface area observations are also consistent with our OLCI retrievals. We present snow albedo and grain size mapping over the inland ice sheet of Greenland for areas including dry snow, melted/melting snow and impurity rich bare ice. The algorithm can be applied to OLCI Sentinel-3 measurements providing an opportunity for creation of long-term snow property records essential for climate monitoring and data assimilation studies-especially in the Arctic region, where we face rapid environmental changes including reduction of snow/ice extent and, therefore, planetary albedo.
KW  - snow characteristics
KW  - optical remote sensing
KW  - snow grain size
KW  - specific surface area
KW  - albedo
KW  - Sentinel 3
KW  - OLCI
Y1  - 2019
U6  - https://doi.org/10.3390/rs11192280
SN  - 2072-4292
VL  - 11
IS  - 19
PB  - MDPI
CY  - Basel
ER  - 
TY  - CHAP
A1  - Vladova, Gergana
A1  - Ullrich, André
A1  - Sultanow, Eldar
A1  - Tobolla, Marinho
A1  - Sebrak, Sebastian
A1  - Czarnecki, Christian
A1  - Brockmann, Carsten
ED  - Klein, Maike
ED  - Krupka, Daniel
ED  - Winter, Cornelia
ED  - Wohlgemuth, Volker
T1  - Visual analytics for knowledge management
BT  - advantages for organizations and interorganizational teams
T2  - Informatik 2023
N2  - The management of knowledge in organizations considers both established long-term
processes and cooperation in agile project teams. Since knowledge can be both tacit and explicit, its transfer from the individual to the organizational knowledge base poses a challenge in organizations. This challenge increases when the fluctuation of knowledge carriers is exceptionally high. Especially in large projects in which external consultants are involved, there is a risk that critical, company-relevant knowledge generated in the project will leave the company with the external knowledge carrier and thus be lost. In this paper, we show the advantages of an early warning system for knowledge management to avoid this loss. In particular, the potential of visual analytics in the context of knowledge management systems is presented and discussed. We present a project for the development of a business-critical software system and discuss the first implementations and results.
KW  - knowledge management
KW  - visual analytics
KW  - knowledge transfer
KW  - teamwork
KW  - knowledge management system
KW  - tacit knowledge
KW  - explicit knowledge
Y1  - 2023
SN  - 978-3-88579-731-9
U6  - https://doi.org/10.18420/inf2023_187
SN  - 1617-5468
SP  - 1851
EP  - 1870
PB  - Gesellschaft für Informatik e.V. (GI)
CY  - Bonn
ER  -