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/*
* Copyright (C) 1999-2011 Insight Software Consortium
* Copyright (C) 2005-2020 Centre National d'Etudes Spatiales (CNES)
*
* This file is part of Orfeo Toolbox
*
* https://www.orfeo-toolbox.org/
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
/* Example usage:
./ProsailModel 30.0 10.0 0.0 0.015 0.009 1.2 2 50 1 70 0.2 30 0 0 Output/SailReflTest.txt
*/
//
// This example presents how to use PROSAIL (Prospect + Sail) model to generate
// viewing reflectance from leaf parameters, vegetation, and viewing parameters.
// Output can be used to simulate image for example.
//
// Let's look at the minimal code required to use this algorithm. First, the
// following headers must be included.
#include "otbSailModel.h"
#include "otbProspectModel.h"
#include "otbMacro.h"
#include "otbImageFileReader.h"
#include "otbImageFileWriter.h"
int main(int argc, char* argv[])
{
if (argc < 16)
{
std::cerr << "Missing Parameters " << std::endl;
return EXIT_FAILURE;
}
char* OutputName = argv[15];
// We now define leaf parameters, which characterize vegetation composition.
using LeafParametersType = otb::LeafParameters;
// Next the parameters variable is created by invoking the \code{New()}~method and
// assigning the result to a \doxygen{itk}{SmartPointer}.
LeafParametersType::Pointer leafParams = LeafParametersType::New();
// Leaf characteristics is then set.
// Input parameters are :
// \begin{itemize}
// \item Chlorophyll concentration (Cab) in $\mu g/cm^2$.
// \item Carotenoid concentration (Car) in $\mu g/cm^2$.
// \item Brown pigment content (CBrown) in arbitrary unit.
// \item Water thickness EWT (Cw) in $cm$.
// \item Dry matter content LMA (Cm) in $g/cm^2$.
// \item Leaf structure parameter (N).
// \end{itemize}
double Cab = static_cast<double>(atof(argv[1]));
double Car = static_cast<double>(atof(argv[2]));
double CBrown = static_cast<double>(atof(argv[3]));
double Cw = static_cast<double>(atof(argv[4]));
double Cm = static_cast<double>(atof(argv[5]));
double N = static_cast<double>(atof(argv[6]));
leafParams->SetCab(Cab);
leafParams->SetCar(Car);
leafParams->SetCBrown(CBrown);
leafParams->SetCw(Cw);
leafParams->SetCm(Cm);
leafParams->SetN(N);
// Leaf parameters are used as prospect input
using ProspectType = otb::ProspectModel;
ProspectType::Pointer prospect = ProspectType::New();
prospect->SetInput(leafParams);
// Now we use SAIL model to generate transmitance and reflectance spectrum. SAIL model is created by invoking
// the \code{New()} method and
// assigning the result to a \doxygen{itk}{SmartPointer}.
// sail input parameters are :
// \begin{itemize}
// \item leaf area index (LAI).
// \item average leaf angle (Angle) in $\deg$.
// \item soil coefficient (PSoil).
// \item diffuse/direct radiation (Skyl).
// \item hot spot (HSpot).
// \item solar zenith angle (TTS) in $\deg$.
// \item observer zenith angle (TTO) in $\deg$.
// \item azimuth (PSI) in $\deg$.
// \end{itemize}
double LAI = static_cast<double>(atof(argv[7]));
double Angle = static_cast<double>(atof(argv[8]));
double PSoil = static_cast<double>(atof(argv[9]));
double Skyl = static_cast<double>(atof(argv[10]));
double HSpot = static_cast<double>(atof(argv[11]));
double TTS = static_cast<double>(atof(argv[12]));
double TTO = static_cast<double>(atof(argv[13]));
double PSI = static_cast<double>(atof(argv[14]));
using SailType = otb::SailModel;
SailType::Pointer sail = SailType::New();
sail->SetLAI(LAI);
sail->SetAngl(Angle);
sail->SetPSoil(PSoil);
sail->SetSkyl(Skyl);
sail->SetHSpot(HSpot);
sail->SetTTS(TTS);
sail->SetTTO(TTO);
sail->SetPSI(PSI);
// Reflectance and Transmittance are set with prospect output.
sail->SetReflectance(prospect->GetReflectance());
sail->SetTransmittance(prospect->GetTransmittance());
// The invocation of the \code{Update()} method triggers the
// execution of the pipeline.
sail->Update();
// \emph{GetViewingReflectance} method provides viewing reflectance vector (size $Nx2$, where $N$ is the number of sampled wavelength values, columns
// corresponds respectively to wavelength and viewing reflectance) by calling \emph{GetResponse}. \emph{GetHemisphericalReflectance} method provides
// hemispherical reflectance vector (size $Nx2$, where $N$ is the number ofsampled wavelength values, columns corresponds to wavelength and hemispherical
// reflectance) by calling \emph{GetResponse}.
//
// Note that PROSAIL simulation are done for 2100 samples starting from 400nm up to 2500nm
for (unsigned int i = 0; i < sail->GetViewingReflectance()->Size(); ++i)
{
otbLogMacro(Debug, << "wavelength : " << sail->GetViewingReflectance()->GetResponse()[i].first << ". Viewing reflectance "
<< sail->GetViewingReflectance()->GetResponse()[i].second << ". Hemispherical reflectance "
<< sail->GetHemisphericalReflectance()->GetResponse()[i].second);
}
std::ofstream outputFile(OutputName, std::ios::out);
for (unsigned int i = 0; i < sail->GetHemisphericalReflectance()->Size(); ++i)
{
outputFile << sail->GetViewingReflectance()->GetResponse()[i].second << " ";
outputFile << sail->GetHemisphericalReflectance()->GetResponse()[i].second << std::endl;
}
// here you can found example parameters :
// \begin{itemize}
// \item Cab 30.0
// \item Car 10.0
// \item CBrown 0.0
// \item Cw 0.015
// \item Cm 0.009
// \item N 1.2
// \item LAI 2
// \item Angle 50
// \item PSoil 1
// \item Skyl 70
// \item HSpot 0.2
// \item TTS 30
// \item TTO 0
// \item PSI 0
// \end{itemize}
//
// More information and data about leaf properties can be found at \emph{St\'{e}phane Jacquemoud}
// \href{http://teledetection.ipgp.jussieu.fr/opticleaf/}{OPTICLEAF} website.
return EXIT_SUCCESS;
}
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