Perspectives of hyperspectral data application for vegetation studies
DOI:
https://doi.org/10.56617/tl.4090Schlagwörter:
Remote Sensing, Hyperspectral, Vegetation, Image processing, Digital ImageryAbstract
In this paper the possibilities of hyperspectral data processing are investigated regarding the application of these images in natural and ecological applications. A short overview is given of the available methods for interpretation purposes and special attention is paid on how the unique properties of hyperspectral data are affecting the choice of suitable methods for processing. Further steps required for developing a set of application dependent image processing chain is also addressed with the aim of applying both spatial and spectral information contained in datasets. A broad identification of possible processing chain is discussed with the aim of developing more standardised and application suited way of processing of the large data volumes. Automatic or semi-automatic procedures are proposed and key steps are identified that could lead to high quality mapping products by means of digital signal processing. This work is to be continued with testing the performance at different stages of interpretation while different techniques are used, and a document is to be supplied through HYPER-I-NET with the collection of results and application specific suggestions regarding hyperspectral data application for vegetation monitoring purposes.
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