J. Remote Sensing 6 1335–1372, Schroeder P E, McCandlish B, Waring R H and Perry D H 1982 The relationship of maximum canopy leaf area and forest growth in Eastern Washington;Northwest Sci. Proc. A synthesis of data on spectral properties, vegetation types, growth and energy conditions provides valuable information about biomass and productivity. 52 57–62, PubMed  Ecol. Remote Sensing Proceedings: Plant Sciences Spectral reflectance characteristics of salt marsh communities. 44 233–254, Wooley J T 1971 Reflectance and transmittance of light by leaves;Plant Physiol. Spectral reflectance of Soil, Vegetation & Water Posted on April 24, 2017 by Reminder Mkansi When solar radiation comes into contact with an object, three activities namely; reflection, absorption and transmission are bound to take place, moreover, in this case we focus more on the reflection and absorption of the incident radiation as it yields significant data of our areas of interest. J. 13 409–421, Kamat D S, Ajai, Shashi Kumar M N, Sinha S K, Chaturvedi G S and Singh A K 1982 Remote Sensing of Plant Physiological Parameters;Proc. Spectral Characteristics of Vegetation: A green leaf intercepts incident radiant flux (??? 56 121–130, Thomas J R, Myers V T, Heilman M D and Wiegand C L 1966 Factors affecting light reflectance of cotton;Proc. Spectral Reflectance Characteristics of Selected 4 Green leaf Yellow 1 45 40 a. b. c. Areas of Blackjack Oak Leaves 0 5 10 15 20 25 30 35 Blue Green (0.45 - 0.52 m) Percent Reflectance Red/orange Brown 4 2 3 (0.52 - 0.60 m) Red (0.63 - 0.69 m) Near-Infrared (0.70 - 0.92 m) d. Hemispherical Reflectance, transmittance, and Absorption Machine Processing of Remotely Sensed Data, LARS Purdue University, West Lafayette, pp 41–51, Leith H 1975 Modelling the primary productivity of the world; inPrimary productivity of the biosphere (eds) H Leith and R H Whittaker (Berlin: Springer Verlag) pp 237–263, Misra B K and Ramakrishnan P S 1983 Secondary succession subsequent to slash and burn agriculture at higher elevation in north-east India. A comparison of capabilities and methodologies to quantify vegetation from remote sensing platforms is presented. 4 11–20, Gausman H W and Allen W A 1973 Optical parameters of leaves of 30 plant species;Plant Physiol. (Plant Sci.) Remote Sensing (in press), Sellers P J 1985 Canopy reflectance, photosynthesis and transpiration;Int. https://doi.org/10.1007/BF03053419, Over 10 million scientific documents at your fingertips, Not logged in Remote Sensing Spectral properties of plants have been utilized in the context of their usefulness in studying vegetation from remote sensing platforms. Google Scholar, Allen W A and Richardson A J 1968 Interaction of light with a plant canopy,Proc. Remote Sensing This electromagnetic energy interacts within the leave pigment, water and inter-cellular air space. Spectral reflectance characteristics of vegetation and their use in estimating productive potential. Every index is basically a certain combination (formula) of the sensor-measured reflectance properties (water content, chlorophyll content, pigment, etc.) J. Biol. D E Reichle (London: Cambridge Univ. volume 99, pages59–81(1989)Cite this article. Remote Sensing Phys. I Species diversity, biomass and litter production;Acta Oecologia The spectral characteristics of vegetation are closely related to the canopy structure, growth stage, water content, chlorophyll content which in turn are closely related to the phenology of plants (Pu and Gong, 2000). Asymptotic Reflectance Characteristics of Grass Vegetation William J. Ripple Environmental Remote Sensing Applications Laboratory (ERSAL) and Department of Geography, Oregon State University, Corvallis, OR 97331 ABSTRACT: The asymptotic relationships between spectral reflectance and grass canopy vari- ables were studied. Article  Int. ?i) directly from the sun. 4, Monteith J L 1972 Solar radiation and productivity in tropical ecosystems;J. Appl. Simple Ratio Vegetation Index SR The near-infrared (NIR) to red simple ratio (SR) is the first true vegetation index. The valleys in the visible portion of the spectrum are indicative of pigments in plant leaves. In-situ spectral reflectance of soils was measured at various test sites of India in four spectral bands within the visible and near-infrared wavelength comparable to Landsat Multispectral Scanner (MSS). Opt. Prog. Spectral properties of plants have been utilized in the context of their usefulness in studying vegetation from remote sensing platforms. Res. Spectral reflectance characteristics, vegetation and leaf area indices for sorghum (Sorghum bicolor L.) S. A. KADAM and S. D. GORANTIWAR Department of Irrigation and Drainage Engineering, MPKV, Rahuri-413 722(MS) E-mail: sunil21075@gmail.com ABSTRACT A growing number of studies have focused on evaluating the spectral indices in terms of their