AbsWd-In this project a system for realtime airborne areal traffic monitoring has b e n designed. implemented and demonstrated in Berlin.The system encompnues the following steps: image and attitude recording aboard an aircraft, image preprocessing and transfer to ground, further image processing for extracting the traffic data and aggregation of traffic data and their input into newly developed simulation and prognosis tools to close the gaps between overtlights. The system is completed by an open interface to service companies that support end nsen with traffic information and recommendations.The technological challenges were on the software side the development of appropriate fast image processing methods and new traffic simulation and prognosis tools and on the hardware side the integration of all components and subsystems to a working complete system. A major aim of the project was the comparison of the new approach with established methods of traffie monitoring w.r.t accuracy and effieiancy.For validating the complete LUMOS concept and its implcmrntstion a flight campaign wps prrfwmrd by the DLRlnstihlle of Transport Research and the other project partners in the area of Berlin in May 2003.First resultr ofcomparison of airborne and conventional traffic measurements are presented in this paper.Besides DLR, the following partner collaborate within

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The difficulty of the remote sensing of coastal water is the presence of more than one constituent with high variability ranges, different correlation and spectral behaviour. They are superimposing in their influence on the resulting total spectrum. Simple ratio algorithms applied to remote sensing data fail on the quantitative determination of the single constituents. However, coastal regions are of great interest for remote sensing since most of the consequences of urbanisation are manifested here.For the improvement of remote sensing of coastal zones it is not only necessary to built a new generation of sensors that offer spectrally higher resolved data, but one has to develop a new methodology that allows the separation and determination of the water constituents based on the entire spectral signature of the different components of the water body. The imaging spectrometer MOS flying on the Indian remote sensing satellite IRS-P3 provides since March 1996 remote sensing data in 13 spectral channels for the scientific community. We implemented a new methodological approach to derive different case II water constituents as well as atmospheric turbidity for the application of MOS-data in coastal regions. A new point of the method is the uniform consideration of atmospheric and water constituent influences on the remote sensing signal.The paper will present a short overview on the algorithm's essentials and examples for the large variability of coastal waters around Europe basing on the results of the retrieved water constituents using the MOS algorithm. It will demonstrate the promising potential of this new algorithm for discrimination of single constituents under case II conditions. Derived maps of chlorophyll like pigments, sediments and aerosol optical thickness are shown and will be discussed.

In the Institute for Space Sensor Technology a new generation of remote sensing imaging spectrometers was developed, measuring the reflected from the ocean atmosphere system radiance in the visible to near-infrared spectral range. This Modular Optical Scanner (MOS) was successfully launched on 21 March 1996 with an Indian satellite (IRS-P3) to a polar sunsynchronous orbit, and on 23 April 1996 with the Russian Priroda Module on the MIR station. For the purpose of interpretation of these measurements over oceans and coastal zones has been developed a special algorithm based on Principal Component Analysis, using a special inversion technique fx a given ocean-atmosphere physical model. An important question in the description of such models are the inherent optical properties of the water. In the paper will be given a description of the derivation of the interpretation algorithm f different water constituents, with an inherent atmospheric correction. It will be shown how specific optical properties are influencing the interpretation results. This work was peilormed in cooperation with the Baltic Sea Research Institute Warnemuende. /97/$1O.OO Downloaded From: http://proceedings.spiedigitallibrary.org/ on 05/28/2015 Terms of Use: http://spiedl.org/terms 7. Prieur L, Sathyendranath S.: Limnol. and Oceanogr. 26(1981)4, pp. 671ff. 8. Neumann A. et: al.: A complex approach to quantitative Interpretation of spectral high resolution imagery,

The complex permittivity ε* has been measured non-invasively in the cornea of two types of animal eyes and in erythrocyte suspensions in the frequency domain 1 ... 18,000 MHz. These measurements shall help to distinguish between eye diseases in a very early stage and to track the possible effect of “microthermics”, respectively. The analysis of the miniaturised probe used for the reflection method and the experimental set-up with its automatic scanning facility are presened.

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