Page updated on December 19th, 2011
The combined PROSPECT leaf optical properties model and
SAIL canopy bidirectional reflectance model, also referred to as PROSAIL, has
been used for about sixteen years to study plant canopy spectral and
directional reflectance in the solar domain. PROSAIL has also been used to
develop new methods for retrieval of vegetation biophysical properties. It
links the spectral variation of canopy reflectance, which is mainly related to
leaf biochemical contents, with its directional variation, which is primarily related to canopy architecture and soil/vegetation contrast.
This link is key to simultaneous estimation of canopy biophysical/structural
variables for applications in agriculture, plant physiology, and ecology at
different scales. PROSAIL has become one of the most popular radiative transfer
tools due to its ease of use, general robustness, and consistent validation by
lab/field/space experiments over the years.
PROSPECT
Outine: Below one can
find four compressed files corresponding to the versions 4 and 5 of the
PROSPECT model, both in Fortran
90 and Matlab 7. All versions allow to calculate leaf optical
properties in
the solar domain between 400 nm and 2500 nm (1 nm step). The input
variables are the chlorophyll concentration (Cab), the carotenoid
concentration (Cxc) [only in PROSPECT-5], the equivalent water
thickness (Cw), the dry matter content (Cm) content, and the leaf
structure parameter
(N). The output variables are the leaf
directional-hemispherical reflectance and
transmittance. The
files "dataSpec_P4" and "dataSpec_P5" contains the specific absorption
coefficients of
each constituent and the refractive index of leaf material. The specific absorption coefficient corresponding to brown
pigment is provided by Frédéric Baret (EMMAH, INRA Avignon, baret@avignon.inra.fr) and used with his autorization.
Source: PROSPECT4_Fortran.zip and PROSPECT4_Matlab.zip for PROSPECT-4, PROSPECT5_Fortran.rar and PROSPECT5_Matlab.rar for PROSPECT-5.
Contact:
Stéphane JACQUEMOUD, Institut
de Physique du Globe de Paris & Université Paris Diderot
(UMR
7154), Géophysique spatiale et planétaire, Bâtiment
Lamarck, Case 7011, 35 rue Hélène Brion, 75013 Paris,
France (jacquemoud@ipgp.fr)
Jean-Baptiste
FERET, Department of Global Ecology, Carnegie Institution of
Washington, 260 Panama Street, Stanford, CA 94305, USA (jbferet@stanford.edu)
Christophe
FRANCOIS, Laboratoire Ecologie, Systématique et Evolution (UMR
8079), Université Paris-Sud, 91405 Orsay Cedex, France (christophe.francois@u-psud.fr)
References:
- Féret,
J.B., François, C., Asner, G.P., Gitelson, A.A., Martin, R.E., Bidel, L.P.R., Ustin,
S.L., le Maire, G., & Jacquemoud, S. (2008), PROSPECT-4 and 5: advances in
the leaf optical properties model separating photosynthetic pigments, Remote Sensing of Environment, 112, 3030-3043.
- Bousquet, L., Lachérade, S., Jacquemoud, S., & Moya,
I. (2005), Leaf BRDF measurement and model for specular and diffuse
component differentiation. Remote Sensing of Environment, 98, 201-211.
- Baret, F., & Fourty, T.
(1997), Estimation of leaf water content and specific leaf weight from
reflectance and transmittance measurements. Agronomie, 17, 455-464.
- Fourty T., Baret F., Jacquemoud S., Schmuck G., & Verdebout J. (1996), Optical
properties of dry leaves with explicite description of their
biochemical composition: direct and inverse problems. Remote
Sensing of Environment, 56, 104-117.
- Jacquemoud, S., Ustin, S.L., Verdebout, J., Schmuck, G.,
Andreoli, G., & Hosgood, B. (1996), Estimating leaf biochemistry
using the PROSPECT leaf optical properties model. Remote Sensing of Environment, 56, 194-202.
- Jacquemoud, S., & Baret, F. (1990), PROSPECT:
a model of leaf optical properties spectra, Remote
Sensing of Environment, 34, 75-91.
Inversion of PROSPECT
Outine: Below one can
find the compressed file displaying an example of PROSPECT_5B inversion using Matlab 7.
Source: PROSPECT5_Matlab_inversion.rar
Contact:
Stéphane JACQUEMOUD, Institut
de Physique du Globe de Paris & Université Paris Diderot
(UMR
7154), Géophysique spatiale et planétaire, Bâtiment
Lamarck, Case 7011, 35 rue Hélène Brion, 75013 Paris,
France (jacquemoud@ipgp.fr)
Javier
PACHECO LABRADOR, Laboratorio de Espectro-radiometría y
Teledetección Ambiental, C/Albasanz 26-28, 28037
Madrid, Spain (javier.pacheco@cchs.csic.es)
SAIL
Outline: Below one can find a WinZip file containing all the 4SAIL codes plus a
sample application program called SAILVTIR that demonstrates the calculation of vegetation cover, emissivity,
reflectance, radiance and brightness temperature as a function of LAI. A sample input and output file can be found in the
"Release" folder. The output file has been edited to make it better readable. The software has been developed with
Visual Fortran.
Source: 4SAIL
Contact:
Wout
VERHOEF, International Institute for Geo-Information Science and Earth Observation, P.O. Box 6, 7500 AA Enschede, The Netherlands (verhoef@itc.nl)
References:
- Verhoef, W., Xiao, Q., Jia, L., & Su, Z.
(2007), Unified
optical-thermal four-stream radiative transfer theory for homogeneous
vegetation canopies. IEEE Transactions on
Geoscience and Remote Sensing, 45,
1808-1822.
- Verhoef, W., & Bach, H. (2003), Simulation of
hyperspectral and directional radiance images using coupled biophysical and
atmospheric radiative transfer models. Remote
Sensing of Environment, 87, 23-41.
- Verhoef, W. (1985), Earth observation modeling
based on layer scattering matrices. Remote
Sensing of Environment, 17, 165-178.
- Verhoef, W. (1984), Light scattering by leaf
layers with application to canopy reflectance modeling: the SAIL model. Remote Sensing of Environment, 16, 125-141.
PROSAIL
Outine: Below one
can
find four WinZip files corresponding to the version of the
PROSAIL model, in Fortran
90, Matlab 7 and IDL, which results from the coupling of PROSPECT-5 and
4SAIL.
Source: PROSAIL_5B_Fortran.rar, PROSAIL_5B_Matlab.rar, and PROSAIL_5B_IDL.zip
Contact:
Stéphane JACQUEMOUD, Institut
de Physique du Globe de Paris & Université Paris Diderot
(UMR
7154), Géophysique spatiale et planétaire, Bâtiment
Lamarck, Case 7011, 35 rue Hélène Brion, 75013 Paris,
France (jacquemoud@ipgp.fr)
Jean-Baptiste
FERET, Department of Global Ecology, Carnegie Institution of
Washington, 260 Panama Street, Stanford, CA 94305, USA (jbferet@stanford.edu)
Christophe
FRANCOIS, Laboratoire Ecologie, Systématique et Evolution (UMR 8079),
Université Paris-Sud, 91405 Orsay Cedex, France (christophe.francois@u-psud.fr)
Eben BROADBENT, Department of Global Ecology, Carnegie Institution of
Washington, 260 Panama Street, Stanford, CA 94305, USA (eben@stanford.edu) for the IDL version.
References:
- Jacquemoud,
S., Verhoef, W., Baret, F., Bacour, C., Zarco-Tejada, P.J., Asner,
G.P., François, C., & Ustin, S.L. (2009), PROSPECT + SAIL
models: a review of use for vegetation characterization, Remote Sensing of Environment, 113, S56-S66.