Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 370623
Title Comparison of two canopy reflectance models inversion for mapping forest crown closure using imaging spectroscopy
Author(s) Zeng, Y.; Schaepman, M.E.; Huang, H.A.; Bruin, S. de; Clevers, J.G.P.W.
Source Canadian Journal of Remote Sensing 34 (2008)3. - ISSN 1712-7971 - p. 235 - 244.
Department(s) Laboratory of Geo-information Science and Remote Sensing
Publication type Refereed Article in a scientific journal
Publication year 2008
Keyword(s) radiative-transfer model - high-resolution imagery - thematic mapper data - vegetation canopy - bidirectional reflectance - biophysical variables - coniferous forests - hyperspectral data - boreal forests - etm+ data
Abstract We compare the inversion of two canopy reflectance models to estimate forest crown closure (CC) using an EO-1 Hyperion image: the Kuusk¿Nilson forest reflectance and transmittance (FRT) model, and the Li¿Strahler geometric¿optical model. For predicting CC on a per-pixel basis, the FRT model inversion is carried out by minimizing a merit function that provides a measure of the difference between the reflectance simulated by the FRT model and the reflectance originating from optimal band selection of Hyperion data. The inversion of the Li¿Strahler model mainly depends on the relationship between the scene component ¿sunlit background¿ and forest structural parameters. We complement prediction deficiencies of the inverted Li¿Strahler model CC using a spatial interpolation algorithm (regression kriging) in infeasible regions. Field-measured CCs of 40 sample sites are used to validate the inversion quality of both models. The results indicate that the Li¿Strahler model inversion (R2 = 0.67, RMSE = 0.043) performs better than the FRT model inversion (R2 = 0.53, RMSE = 0.072) for CC retrieval. Estimated CC using the Li¿Strahler model inversion combined with spatial interpolation yield a final, continuous CC map for the Longmenhe forest nature reserve in China, which is used as a study area for this work. The advantages and disadvantages of these two models inversion combined with imaging spectrometer data for mapping forest CC are discussed
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