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Prediction of common surface soil properties using airborne and simulated EnMAP hyperspectral images: Impact of soil algorithm and sensor characteristic

Authors
/persons/resource/chabri

Chabrillat,  S.
1.4 Remote Sensing, 1.0 Geodesy and Remote Sensing, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/foerster

Förster,  S.
1.4 Remote Sensing, 1.0 Geodesy and Remote Sensing, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/asteinbe

Steinberg,  Andreas
1.4 Remote Sensing, 1.0 Geodesy and Remote Sensing, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/segl

Segl,  K.
1.4 Remote Sensing, 1.0 Geodesy and Remote Sensing, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

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Citation

Chabrillat, S., Förster, S., Steinberg, A., Segl, K. (2014): Prediction of common surface soil properties using airborne and simulated EnMAP hyperspectral images: Impact of soil algorithm and sensor characteristic - Conference Papers, IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 & 35th Canadian Symposium on Remote Sensing (Québec city, QC, Canada 2014), 2914-2917.
https://doi.org/10.1109/IGARSS.2014.6947086


Cite as: https://gfzpublic.gfz.de/pubman/item/item_858894
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