Imaging Spectroscopy in Hydrology and Agriculture - Determination of Model Parameters
In the framework of hydrologic research a better knowledge of the characterisation of the land surface is essential for improved modelling of the global hydrological cycle. The upcoming Imaging Spectroscopy space missions will provide a more exact view of the land surface. To prepare this, the potential of airborne Imaging Spectroscopy data of the GER-IS-scanner and the CASI-sensor for the assessment of agricultural and hydrological parameters is analysed. The data of the aircraft campaigns are combined with a set of agricultural ground truth and field spectrometry to give an insight into methods of integrated data analysis.
After atmospheric correction and calibration, the resulting reflectance values of the wavelength region, which contains the most characteristic spectral features of vegetation, the red edge, are parameterised. Two methods (inverted Gaussian fit, second derivative) are used and their advantages and limitations are demonstrated. A strong correlation between the vegetation height of corn and the inflection wavelength of the red edge is found. This correlation exists independent of sensors, different methods for extracting the inflection wavelength, different times and different soil backgrounds. The possibility to use data of the future MERIS-sensor for quantitative red edge analysis is tested.
KeywordsPlant Height Reflectance Spectrum Vegetation Height High Spectral Resolution Imaging Spectrometry
Unable to display preview. Download preview PDF.
- Bach, H. and W. Mauser (1989) ‘EISAC 1989-Internal Report on the Ground Data Collection Test Site Freiburg to the JRC, Ispra’, Freiburg, Germany.Google Scholar
- Bach, H. and W. Mauser (1991) ‘The Application of Imaging Spectroscopy data in Agriculture and Hydrology-The EISAC-89-Campaign in the Freiburg Test-Site’, EARSel Advances in Remote Sensing, vol. 1,no. 1, 34–42.Google Scholar
- Bezy (1992) ESA ESTEC, personal communication.Google Scholar
- Bodechtel, J. and S. Sommer (1991) ‘The European Imaging Spectroscopy Campaign-EISAC. Review of the First Results and Outlook on Future Aspects of Data Evaluation’, EARSel Advances in Remote Sensing, vol.1,no.1, 116–120.Google Scholar
- Clevers, J.G.P.W. and C. Büker (1991), ‘Feasibility of the red edge index for the detection of nitrogen deficiency’, Proc. of the Fifth International Colloquium on ‘Physical measurements and Signatures in Remote Sensing’, 14–18 January, CourchevelGoogle Scholar
- Collins, W. (1978) ‘Remote sensing of crop type and maturity’, Photogr. Engineering and Remote Sensing, vol.44,no.1, 43–55.Google Scholar
- ITRES-Research Canada (1991) personal communication (contact: Richard Adamson)Google Scholar
- Kneizys, F.X., G.P. Anderson, E.P. Shettle, W.O. Gallery, L.W. Abreu, J.E.A. Selby, J.H. Chetwynd, and S.A. Clough (1988) ‘Users Guide to LOWTRAN-7’, Environmental Research Papers No.: 1010; AFGL-TR-88-0177, Air Force Geophysics Laboratory.Google Scholar
- Rast, M. (1991) ‘Imaging Spectroscopy and its application in spaceborne systems’, ESA Publication SP-1144.Google Scholar
- Plummer, S.E., A.K. Wilson, and A. Jones (1991) ‘On the Relationship between High Spectral Resolution Canopy Reflectance Data and Plant Biochemistry’, EARSel Advances in Remote Sensing, vol.1,no.1, 27–33.Google Scholar