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3 edition of Canopy reflectance modelling of semiarid vegetation found in the catalog.

Canopy reflectance modelling of semiarid vegetation

Janet Franklin

Canopy reflectance modelling of semiarid vegetation

final report

by Janet Franklin

  • 81 Want to read
  • 36 Currently reading

Published by National Aeronautics and Space Administration, National Technical Information Service, distributor in [Washington, DC, Springfield, Va .
Written in English

    Subjects:
  • Arid lands.,
  • Canopies (Vegetation),
  • Earth surface.,
  • Grasses.,
  • Image processing.,
  • Satellite imagery.,
  • Spectral reflectance.

  • Edition Notes

    StatementJanet Franklin, principal investigator.
    SeriesNASA contractor report -- NASA CR-199117.
    ContributionsUnited States. National Aeronautics and Space Administration.
    The Physical Object
    FormatMicroform
    Pagination1 v.
    ID Numbers
    Open LibraryOL15419667M

    Inversion of a soil bidirectional reflectance model for use with vegetation reflectance models Jeffrey L. Privette, 1 Ranga B. Myneni, 2 William J. Emery, 1 and Bernard Pinty 3 Abstract. The need for anisotropic soil reflectance in canopy reflectance modeling is assessed for different sampling and canopy conditions. Decades after release of the first PROSPECT + SAIL (commonly called PROSAIL) versions, the model is still the most famous representative in the field of canopy reflectance modelling and has been widely used to obtain plant biochemical and structural variables, particularly in the agricultural context.

      Spectral properties of plants have been utilized in the context of their usefulness in studying vegetation from remote sensing platforms. A synthesis of data on spectral properties, vegetation types, growth and energy conditions provides valuable information about biomass and productivity. A comparison of capabilities and methodologies to quantify vegetation from Cited by: 9. CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): A model for the bidirectional reflectance over soils is from grasslands to shrublands will affect the biogeochemi-coupled with a vegetation reflectance model to predict the cal cycles and the interactions between the land surface bidirectional reflectance of semiarid landscape.

    CANOPY REFLECTANCE MODELING OF SEMIARID VEGETATION FINAL REPORT NASA Grant NA GW Janet Franklin, Principal Investigator ABSTRACT Three different types of remote sensing algorithms for estimating vegetation amount and other land surface biophysical parameters were tested for semiarid environments. subject. This paper describes how a radiative transfer model of vegetation canopy reflectance may be used to allow stu- dents to explore the complex set of factors that control vege- tation canopy reflectance. An example of a practical exercise used with undergraduate level students is described, and topics for follow-up discussions are outlined.


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Canopy reflectance modelling of semiarid vegetation by Janet Franklin Download PDF EPUB FB2

Buy Models of Vegetation Canopy Reflectance and Their Use in Estimation of Biophysical Parameters From Reflectance Data (Remote Sensing Reviews) on FREE SHIPPING on qualified orders Models of Vegetation Canopy Reflectance and Their Use in Estimation of Biophysical Parameters From Reflectance Data (Remote Sensing Reviews):.

Get this from a library. Canopy reflectance modelling of semiarid vegetation: final report. [Janet Franklin; United States. National Aeronautics and Space Administration.]. Canopy reflectance modelling of semiarid vegetation. By Janet Franklin. Abstract. Three different types of remote sensing algorithms for estimating vegetation amount and other land surface biophysical parameters were tested for semiarid environments.

These included statistical linear models, the Li-Strahler geometric-optical canopy model, and Author: Janet Franklin.

Canopy Reflectance Modeling of Aquatic Vegetation for Algorithm Development: Global Sensitivity Analysis Article (PDF Available) in Remote Sensing 10(6).

An advanced bidirectional reflectance factor model is developed to account for the architectural effects exhibited by homogeneous vegetation canopies for the first orders of light scattering.

VEGETATION CANOPY REFLECTANCE Important Parameters Parameters in addition to hemispherical leaf reflectance which may be very important in determining the tone (reflectance) of a vegeta- tion canopy include (a) transmittance of leaves, (b) amount and arrangement of leaves, (c) characteristics of other components of the vegetation canopy Cited by: Canopy reflectance modelling Canopy reflectance, canopy, is known to be sensitive to a number of can be broadly divided into two categories: i.

structural i.e. the number, angular and spatial distribution of scattering elements. radiometric i.e. the scattering properties of individual canopy elements.

Vegetation components such as leaves and stems are. canopy modeling is to predict the optical reflectance or emission as a function of Canopy reflectance modelling of semiarid vegetation book biophy- sical properties of the scene elements.

If the canopy model can be inverted, then canopy charac- teristics can be inferred from measured reflectance. Strahler et al. () and Smith () review canopy modeling from a remote sensingFile Size: 2MB. Canopy reflectance models relate fundamental surface parameters, for example, LAI, leaf optical properties, to scene reflectance for a given sun-surface-sensor geometry.

These models may be grouped according to four categories: parametric, geometrical, turbid medium, and computer simulation models. Vegetation reflectance properties are used to derive vegetation indices (VIs).

The VIs are used to analyze various ecologies. VIs are constructed from reflectance measurements in two or more wavelengths to analyze specific characteristics of vegetation, such. In the case where a vegetation cover can be regarded as a collection of individual, discrete plant crowns, the geometric-optical effects of the shadows tha Geometric-optical bidirectional reflectance modeling of the discrete crown vegetation canopy: effect of crown shape and mutual shadowing - IEEE Journals & MagazineCited by:   The Li-Strahler canopy model was tested, using SPOT HRV XS imagery, for semiarid shrub vegetation, based on 26 small (1-ha) sites in five classes of shrub vegetation, two dominated by tarbush (Flourensia cernua), one by creosote bush (Larrea tridentata), and two by mesquite (Prosopis glandulosa).Cited by: just opposite, the greater the LAI value is, the greater the canopy s reflectance value is.

This is largely caused by leaves strong reflection at near-infrared band. We have developed a 3D canopy s reflectance model that parameterizes the reflectance of semi-arid grassland canopies from optical properties of leaves and soil.

2 Review of BRDF and canopy reflectance modelling Liang et al. (a) review the current state of multi-angle remote sensing following the International Forum on BRDF (IFB), San Francisco, December They conclude that multi-angle remote sensing, at the threshold of the EOS era, is now yielding.

Light scattering by leaf layers with application to canopy reflectance modelling: the SAIL model W. Verhoef (Remote Sensing of Environment ) Inversion of vegetation canopy reflectance models for estimating agronomic variables.

coupled with a vegetation reflectance model to predict the cal cycles and the interactions between the land surface bidirectional reflectance of semiarid landscape.

The vegeta-and the atmosphere over those regions. Satellite remote tion model is a hybrid of geometric optical and radiative sensing provides the only technically consistent and tem.

A Physical Model of the Bidirectional Reflectance of Vegetation Canopies 1. Theory MICHEL M. VERSTRAETE1 Office for Interdisciplinary Earth Studies, University Corporation for Atmospheric Research, Boulder, Colorado BERNARD PINTY 2 AND ROBERT E.

DICKINSON National Center for Atmospheric Research, Boulder, Colorado. Measurement and modelling of rainfall interception by three semi-arid canopies F. Domingoa,´nchez1,a,*, M.J. Moro2,b, A.J. Brennerc, J. Puigdefa´bregasa a Estacio ´n Experimental de Zonas A´ridas (C.S.I.C.), AlmerıaSpain b Departamento de Ecologı´a, Universidad de Alicante, AlicanteSpain c Department of Pure and Applied Biology.

Remote sensing imagery is being used intensively to estimate the biochemical content of vegetation (e.g., chlorophyll, nitrogen, and lignin) at the leaf level. As a result of our need for vegetation biochemical information and our increasing ability to obtain canopy spectral data, a few techniques have been explored to scale leaf-level biochemical content to the canopy level Cited by: 1 Introduction.

Ground vegetation (understory) is an important component of forest ecosystems typically supporting the majority of total ecosystem floristic diversity [Gilliam and Roberts, ; D'Amato et al., ].Understory plays a central role in the dynamics and functioning of forest ecosystems by influencing long‐term successional patterns [Hart and Chen, ; Nyland et Cited by: 4.

Abstract: Fractional vegetation cover (FVC) is one of the fundamental parameters for characterizing terrestrial ecosystems, with wide uses in various environmental and climate-related modeling applications.

The remote sensing technique provides a unique opportunity for estimating FVC over large geographical areas by employing spectral mixture analysis (SMA).Cited by: Get this from a library! Models of vegetation canopy reflectance and their use in estimation of biophysical parameters from reflectance data.

[Narendra S Goel].Retrieval of seasonal dynamics of forest understory reflectance from semiarid to boreal forests using MODIS BRDF data. Jan Pisek. Corresponding Author. and subsequently for ecosystem modeling. In this communication, we retrieved seasonal courses of understory normalized difference vegetation index (NDVI) from multiangular Moderate Cited by: 4.