Remote sensing for resources development and environmental management: Remote sensing for resources development and environmental management

Damen, M. C. J.

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Multivolume work

Persistent identifier:: 856342815

Title:: Remote sensing for resources development and environmental management

Sub title:: proceedings of the 7th international Symposium, Enschede, 25 - 29 August 1986

Year of publication:: 1986

Place of publication:: Rotterdam; Boston

Publisher of the original:: A. A. Balkema

Identifier (digital):: 856342815

Language:: English

Additional Notes:: Volume 1-3 erschienen von 1986-1988

Editor:: Damen, M. C. J.

Document type:: Multivolume work

Volume

Persistent identifier:: 856343064

Title:: Remote sensing for resources development and environmental management

Sub title:: proceedings of the 7th international Symposium, Enschede, 25 - 29 August 1986

Scope:: XV, 547 Seiten

Year of publication:: 1986

Place of publication:: Rotterdam; Boston

Publisher of the original:: A. A. Balkema

Identifier (digital):: 856343064

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(26,7,1)

Language:: English

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Damen, M. C. J.

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2016

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: 3 Spectral signatures of objects. Chairman: G. Guyot, Liaison: N. J. J. Bunnik

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: The application of a vegetation index in correcting the infrared reflectance for soil background. J. G. P. W. Clevers

Document type:: Multivolume work

Structure type:: Chapter

226 the smaller CV values for the estimates of LAI. How ever, these latter CV values were larger than those for infrared reflectance. Similar conclusions could be drawn for other field trials (Clevers, 1986c). The following practical procedure has been elabo rated by Clevers (1986c): In one field trial, the regression function of LAI on corrected infrared reflectance was established by analysing a few additional plots (a training set), in which both LAI and reflectances were ascertained. The inverse of a special case of the Mitscherlich function was used for describing the regression function of LAI on the infrared reflectance correct ed for background. Subsequently, this regression function was applied for estimating LAI in the en tire field trial. To date there is insufficient evi dence that the regression curves of different crops or cultivars are easily transferable, or that the curve of one growing season can be applied in the following seasons, although the results of Clevers (1986c) pointed in that direction. So, conventional field measurements are still needed. Verhoef, W., 1984. Light scattering by leaf layers with application to canopy reflectance modelling the SAIL model. Rem. Sens. Envir. 16: 125-141. Youkhana, S.K., 1983. Canopy modelling studies. Colorado State Univ., PhD., 84 pp. 5 CONCLUSIONS 1. If the ratio between the reflectance factors of bare soil in any pair of the green, red and infra red spectral bands is nearly one, the corrected infrared reflectance may be ascertained as the dif ference between the measured infrared and red re flectance . 2. At the vegetative stage of cereals, the inverse of a special case of the Mitscherlich function, namely the one passing the origin, was suitable for describing the regression function of LAI on cor rected infrared reflectance. 3. If LAI was estimated by reflectance values, by using a regression curve of LAI on corrected infra red reflectance, the critical levels in testing for treatment differences were in general smaller than for the measured LAI of samples. This also applied to the coefficients of variation. Even at large LAI values (LAI 5-8) significant treatment effects could be distinguished by means of multispectral aerial photography. 6 REFERENCES Bunnik, N.J.J., 1978. The multispectral reflectance of shortwave radiation by agricultural crops in relation with their morphological and optical properties. Thesis, Meded. Landbouwhogeschool Wa- geningen 78-1, 175 pp. Clevers, J.G.P.W., 1986a. The derivation of a sim plified reflectance model for the estimation of LAI. Proc. Seventh Int. Symp. on Remote Sensing, ISPRS Comm. VII, Enschede, The Netherlands. Clevers, J.G.P.W., 1986b. Multispectral aerial photography yielding well calibrated reflectance factors with high spectral, spatial and temporal resolution for crop monitoring. Proc. Third Int. Coll, on Spectral Signatures of Objects in Remote Sensing, Les Arcs, France. Clevers, J.G.P.W., 1986c. The application of remote sensing to agricultural field trials. Thesis (in press). Condit, H.R., 1970. The spectral reflectance of American soils. Photogram. Eng. Rem. Sens. 36: 955-966. Goudriaan, J., 1977. Crop micrometeorology: a simu lation study. Thesis Landbouwhogeschool, Wageningen, 249 pp. Stoner, E.R., M.F. Baumgardner, L.L. Biehl & B.F. Robinson, 1980. Atlas of soil reflectance proper ties. Agric. Exp. Station, Purdue Univ., W-Lafay- ette, Indiana, Res. Bull. 962, 75 pp.

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