Remote Sensing of Environment 50(2):171–181. Vonogradov, B. V., 1981. Coulson, K. L., 1966. Hapke, B. W. 1981a. As of this date, Scribd will manage your SlideShare account and any content you may have on SlideShare, and Scribd's General Terms of Use and Privacy Policy will apply. The amount of energy reflected from these surfaces is usually expressed as a percentage of the amount of energy striking the objects. Features on the Earth reflect, absorb, transmit, and emit electromagnetic energy from the sun. J. 0000000016 00000 n 1931. can be plotted and compared. Reflectance technique for predicting soil organic matter. Beebe, K.R. Cariati, F., L. Erre, G. Micera, P. Piu, and C. Gessa, 1981. Learn more. The soil reflectance data can be acquired in the laboratory or in … Geometrical considerations and nomenclature for reflectance. 0000002908 00000 n Infrared (8–14micron) remote sensing of soil particle size,. Frazier, B. E., and Y. Cheng, 1989. Barnes E., and Baker, M.S., 2000, Multispectral data for mapping soil texture: Possibilities and limitations. Manual of Remote Sensing, 3rd edition, Vol.3, pp 111–189, Wiley New York. Eng. J. 0000001822 00000 n Cite as. Theory. Effects of organic matter on multispectral properties of soils. Mid-infrared spectroscopic determination of soil nitrate content. European Journal of Soil Science 63(2), 189–199. Etzion, Y. R. Linker, U. Cogan, I. Shmulevich, 2004. Remote Sensing, 2002, vol. Soil Sci. Polarization of water molecules in phyllosylicates in relation to exchange cations as studied by near infrared spectroscopy. America J.48(5):1130–1134. Robust modelling of soil diffuse reflectance spectra by bagging-partial least squares regression. 0000001505 00000 n Applications: exemple dela region de Tataouine J. Tunisie), Ph.D. dissertation, Universite Pierre et Marie Curie, Paris, 317 pp. What does vegetation index mean in remote sensing technology. Spectral Reflectance The reflectance characteristics of earth surface features may be quantified by measuring the portion of incident energy that is reflected. “Physicochemical, site, and bi‐directional reflectance factor characteristics of uniformly moist soils, Laboratory for Applications of Remote Sensing”. Journal of Dairy Science. 0000001666 00000 n (2006). Improved analysis and modelling of soil diffuse reflectance spectra using wavelets. Viscarra Rossel, R.A., 2007. "����1�M�q��5�����8"��`�"X1���3�z=����cXf�l��8��ei�㭂1gm��˭�fu��%���۬���V�4�؈��83ʟM���a��3�;� D��L�k �@2�����6�C�w����ρ����w��-��ve�g�թ,��]X��͒�����C&sVnl� dF3!�fJ5Εj�� w�� ǹ�5�H}i zm�w�ҝ�M�m!R������bY��=gCtOF�eWQvsg ]��K+-g��s@���'� 5�c���L�[fg қ!�ן�����5���>E�Ӻ��_�y��Gv���h~;g�( Palmer, J. M. 1982. Montgomery, T. Gao, and S. Prasad. https://www.osapublishing.org/josa/issue.cfm?volume=46&issue=3, https://www.researchgate.net/publication/200458942_Soil_Reflectance, Centre for Spatial Information Technology, Institute of Science and Technology, Jawaharlal Nehru Technological University, https://doi.org/10.1007/978-3-662-53740-4_6. Data analysis for the laboratory and chemical plant, Wiley & Sons. 151:355–361. Mattikalli, N.M. 1997. The more detailed the spectral information recorded by a sensor, the more information that can be extracted from the spectral signatures. Determination of organic matter in soil using near-infrared spectroscopy and partial least squares regression. Characteristic Variations in Spectral Reflectance of Selected Eroded Alfisols. In most cases, the reflectance value of each object for each area of the electromagnetic spectrum is somewhere between these two extremes. Rao, B.R.M., Ravi Sankar, T., Dwivedi, R.S., Thammappa, S.S., Venkataratnam, L., Sharma, R.C., and Das, S.N. Geoderma 158: 23–31. A. Shields, 1971. Orna, M. V., 1978. Relating organic matter and clay content to multispectral radiance of soils. Recent applications of vibrational mid-Infrared (IR) spectroscopy for studying soil components: a review. On the value of high spectral resolution measurements in the visible and near-infrared. Taylor, R. M., 1982. Field-Scale Mapping of Surface Soil Organic Carbon Using Remotely Sensed Imagery. Csillag F., L. Pasztor, and L. L. Biehl, 1993. Progress in field spectroscopy. Tasumi, M.: Basics and Practical Applications of FT-IR. Using data mining to model and interpret soil diffuse reflectance spectra. Visible and near infrared spectra of minerals}md rocks: I. Silicate minerals, Hunt, G. R., 1980. The reflectance of a material also varies with the wavelength of the electromagnetic energy. and Limperis, T.1977. Soil organic matter content and iron content: effect the spectral characteristics of Vertisols and Alfisols in Alabama Photogrammtric Engineering and Remote Sensing, 53:1659–1663. startxref The effects of organic matter, iron’ oxides and moisture on the color of two agricultural soils of Quebec. If you continue browsing the site, you agree to the use of cookies on this website.

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