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Hyperspectral algorithms : report in the frame of EnMAP preparation activities

Urheber*innen

Kaufmann,  Hermann
Scientific Technical Report STR, Deutsches GeoForschungsZentrum;

Segl,  Karl
Scientific Technical Report STR, Deutsches GeoForschungsZentrum;

Itzerott,  Sibylle
Scientific Technical Report STR, Deutsches GeoForschungsZentrum;

Bach,  Heike
Scientific Technical Report STR, Deutsches GeoForschungsZentrum;

Wagner,  Annette
Scientific Technical Report STR, Deutsches GeoForschungsZentrum;

Hill,  Joachim
Scientific Technical Report STR, Deutsches GeoForschungsZentrum;

Heim,  Birgit
Scientific Technical Report STR, Deutsches GeoForschungsZentrum;

Oppermann,  K.
Scientific Technical Report STR, Deutsches GeoForschungsZentrum;

Heldens,  Wieke
Scientific Technical Report STR, Deutsches GeoForschungsZentrum;

Stein,  Enrico
Scientific Technical Report STR, Deutsches GeoForschungsZentrum;

Müller,  Andreas
Scientific Technical Report STR, Deutsches GeoForschungsZentrum;

van der Linden,  Sebastian
Scientific Technical Report STR, Deutsches GeoForschungsZentrum;

Leitão,  Pedro J.
Scientific Technical Report STR, Deutsches GeoForschungsZentrum;

Rabe,  Andreas
Scientific Technical Report STR, Deutsches GeoForschungsZentrum;

Hostert,  Patrick
Scientific Technical Report STR, Deutsches GeoForschungsZentrum;

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1008.pdf
(Verlagsversion), 7MB

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Zitation

Kaufmann, H., Segl, K., Itzerott, S., Bach, H., Wagner, A., Hill, J., Heim, B., Oppermann, K., Heldens, W., Stein, E., Müller, A., van der Linden, S., Leitão, P. J., Rabe, A., Hostert, P. (2010 online): Hyperspectral algorithms: report in the frame of EnMAP preparation activities, (Scientific Technical Report ; 10/08), Potsdam : Deutsches GeoForschungsZentrum GFZ, 268 S.: Ill., graph. Darst.  p.
https://doi.org/10.2312/GFZ.b103-10089


Zitierlink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_18089
Zusammenfassung
Against the background of EnMAP preparation analyses have been carried out on the status of research in various areas of hyperspectral remote sensing for the use of existing algorithms in the EnMAP application box. The aim was to compose the status of research in Germany and internationally. Therefore, in various fields of expertise applied and accordingly available algorithms and products based on hyperspectral data has been evaluated and documented. The intention has been to demonstrate and to evaluate the added value of hyperspectral remote sensing to multispectral methods for each product. For this purpose analyses have been carried out by different research groups which were based on the specialty and the experience of each group. Hereby a summary was created of each major application perspective and the relevant remote sensing derived variables and significant processing algorithms (state-of-the-art) belonging to this context. Based on this, the research delivers, as a result, a recommendation which of the algorithms should be implemented into the Applikationsbox of EnMAP. Tests of the algorithms or their implementation were not part of the analyses. However, notes have been given on what algorithms should be tested in the context of a detailed preparation phase. An assessment to the further R & D requirements in the development of algorithms has been made on this basis.