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 derivation of a simplified reflectance model for the estimation of LAI. J. G. P. W. Clevers

Document type:: Multivolume work

Structure type:: Chapter

was applied for correcting the infrared reflectance for soil background (equation 9). This assumption holds for many soil types. 3. For a green vegetation, the inverse of a special case of the Mitscherlich function, namely the one passing the origin (equation 15), was used for descri bing the regression function of LAI on the infrared reflectance corrected for background. In this semi- empirical model two parameters of a physical nature have to be estimated empirically. 4. Model simulations with the SAIL model indicated that the accuracy of results obtained with the model for correcting for soil background corresponds to the accuracy of results obtained if soil reflectances are known. 6 REFERENCES Allen, W.A., T.V. Gayle & A;J. Richardson, 1969. Interaction of light with a compact leaf. J. Opt. Soc. Am. 59: 1376-1379. Allen, W.A. & A.J. Richardson, 1968. Interaction of light with a plant canopy. J. Opt. Soc. Am. 58: 1023-1028. Asrar, G., M. Fuchs, E.T. Kanemasu & J.L. Hatfield, 1984. Estimating absorbed photosynthetic radiation and leaf area index from spectral reflectance in wheat. Agron. J. 76: 300-306. Bowers, S.A. & R.J. Hanks, 1965. Reflection of radiant energy from soils. Soil Science 100: 130-138. 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 Wageningen 78-1, 175 pp. Bunnik, N.J.J., 1984. Review of models and measure ments of multispectral reflectance by plant canopies. Recommendations for future research. Publ. NLR MP 84039 U, 11 pp. Clevers, J.G.P.W., 1986a. 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., 1986b. 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. Duntley, S.Q., 1942. The optical properties of diffu sing materials. J. Opt. Soc. Am. 32: 61-70. Goudriaan, J., 1977. Crop micrometeorology: a simulation study. Thesis Landbouwhogeschool, Wageningen, 249 pp. Gray, T.I. Jr. & D.G. McCrary, 1981a. Meteorological satellite data - A tool to describe the health of the world's agriculture. AgRISTARS Report EW-N1- 04042; JSC-17712, Johnson Space Flight Center, Houston, Texas. Gray, T.I. Jr. & D.G. McCrary, 1981b. The environmental vegetation index: a tool potentially useful for arid land management, Report no. E81-10191; NASA-CR-160978, NOAA, Houston, Texas. Hatfield, J.L., G. Asrar & E.T. Kanemasu, 1984. Intercepted photosynthetically active radiation estimated by spectral reflectance. Rem. Sens. Envir. 14: 65-75. Holben, B.N., C.J. Tucker & C.J. Fan, 1980. Spectral assessment of soybean leaf area and leaf biomass. Photogram. Engr. Rem. Sens. 46: 651-656. Idso, S.B. & C.T. De Wit, 1970. Light relations in plant canopies. Appl. Opt. 9: 177-184. Janse, A.R.P. & N.J.J. Bunnik, 1974. Reflectiespectra van enige Nederlandse bodemmonsters bepaald met de NIWARS-veldspectrometer. NIWARS-publ. 18, 21 pp. Kauth, R.J. & G.S. Thomas, 1976. The tasseled cap - a graphic description of the spectral-temporal develop ment of agricultural crops as seen by Landsat. Proc. Symp. on Mach. Proc. Rem. Sens. Data, Purdue Univ., W-Lafayette, Ind., 4B: 41-51. Kimes, D.S. & J.A. Kirchner, 1982. Radiative transfer model for heterogeneous 3-D scenes. Appl. Opt. 21: 4119-4129. Kondratyev, K.Ya. & O.M. Pokrovsky, 1979. A factor analysis approach to optimal selection of spectral intervals for multipurpose experiments in remote sensing of the environment and earth resources. Rem. Sens. Envir. 8: 3-10. Kubelka, P. & F. Munk, 1931. Ein Beitrag zur Optik der Farbanstriche. A. Techn. Physik 11: 593-601. Richardson, A.J. & C.L. Wiegand, 1977. Distinguishing vegetation from soil background information. Photogram. Eng. Rem. Sens. 43: 1541-1552. Rouse, J.W. Jr., R.H. Haas, J.A. Schell & D.W. Deering, 1973. Monitoring vegetation systems in the Great Plains with ERTS. Earth Res. Techn. Satellite-1 Symp., Goddard Space Flight Center, Washington D.C., p. 309-317. Rouse, J.W. Jr., R.H. Haas, D.W. Deering, J.A. Schell & J.C. Harlan, 1974. Monitoring the vernal advance ment and rétrogradation (green wave effect) of natural vegetation. NASA/GSFC Type III Final Report, Greenbelt, Md., 371 pp. Stoner, E.R., M.F. Baumgardner, L.L. Biehl & B.F. Robinson, 1980. Atlas of soil reflectance properties. Agric. Exp. Station, Purdue Univ., W-Lafayette, Indiana, Res. Bull. 962, 75 pp. Suits, G.H., 1972. The calculation of the directional reflectance of a vegetative canopy. Rem. Sens. Envir. 2: 117-125. Verhoef, W., 1984. Light scattering by leaf layers with application to canopy reflectance modelling: the SAIL model. Rem. Sens. Envir. 16: 125-141. Verhoef, W. & N.J.J. Bunnik, 1981. Influence of crop geometry on multispectral reflectance determined by the use of canopy reflectance models. Proc. Int. Coll, on Signatures of Remotely Sensed Objects, Avignon, France, p. 273-290. Youkhana, S.K., 1983. Canopy modelling studies. Colorado State Univ., PhD., 84 pp.

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