Retrieving Canopy Properties from Remote Sensing Measurements
A wide variety of tools have been designed to extract information on the nature and structure of terrestrial ecosystems from remote sensing data. Two approaches are described here in some detail: the use of spectral indices, and the design and inversion of physically-based models of the interaction between the radiation field and the surface. The advantages and drawbacks of these approaches are discussed, and the importance of combined field and laboratory measurement campaigns is stressed.
KeywordsNormalize Difference Vegetation Index Remote Sensing Spectral Band Vegetation Index Spectral Index
Unable to display preview. Download preview PDF.
- Curran, P. J. (1981) ‘Multispectral remote sensing for estimating biomass and productivity’, in Smith, H. (ed.) ‘Plants and the Daylight Spectrum’, Academic Press, London, 65–99.Google Scholar
- Goel, N. S. (1988) ‘Models of vegetation canopy reflectance and their use in estimation of biophysical parameters from reflectance data’, Remote Sensing Review, 4, 1–212.Google Scholar
- Kaufman, Y. J. (1989) ‘The atmospheric effect on remote sensing and its correction’, in G. Asrar (ed.) ‘Theory and Applications of Optical Remote Sensing’, Wiley, New York, 336–428.Google Scholar
- Meyer, D., M.M. Verstraete, and B. Pinty (1993) ‘The effect of surface anisotropy and viewing geometry on the estimation of NDVI from AVHRR’, Remote Sensing Reviews, in print.Google Scholar
- Pinty, B., C. Leprieur, and M. M. Verstraete (1993) ‘Towards a quantitative interpretation of vegetation indices. Part 1: Biophysical canopy properties and classical indices’, Remote Sensing Reviews, in print.Google Scholar
- Rahman, H., M.M. Verstraete, and B. Pinty (1993a) ‘A coupled surface-atmosphere reflectance (CSAR) model. Part 1: Model description and inversion on synthetic data’, Journal of Geophysical Research, in print.Google Scholar
- Rahman, H., M.M. Verstraete, and B. Pinty (1993b) ‘A coupled surface-atmosphere reflectance (CSAR) model. Part 2: A semi-empirical surface model usable with NOAA/AVHRR data’, Journal of Geophysical Research, in print.Google Scholar
- Verstraete, M. M. (1994) ‘Scientific issues and instrumental opportunities in remote sensing and high resolution sprectrometry’, in J. Hill and J. Mégier (eds.) ‘Imaging Spectrometry-a tool for environmental observations’, Kluwer Academic Publishers, Dordrecht (this volume).Google Scholar