SAIL (light scattering by arbitrarily inclined leaves) model

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Table of contents

Chapter 1 Introduction
1.1 Motivation
1.2 Research background
1.2.1 Canopy reflectance simulation study
1.2.2 Inversion of leaf optical properties study
1.2.3 Inversion of leaf area index study
1.2.4 Problems
1.3 Outline of the thesis
1.3.1 Study content
1.3.2 Thesis structure
Chapter 2 Basics of vegetation canopy radiative transfer models
2.1 Radiative transfer models
2.1.1 Scattering by Arbitrary Inclined Leaves (SAIL) model
2.1.2 Discrete Anisotropic Radiative Transfer Model
2.1.3 Radiosity-graphics based model
2.2 Simulating Canopy BRF with Radiosity-Graphics based Model (RGM) at Pixel Scale based PhD Thesis, Université de Toulouse on OpenACC
2.2.1 Reflectance simulation of realistic structural single tree canopy
2.2.2 Reflectance simulation of simplified heterogeneous canopy scene
Chapter 3 Continuous-time phase reflectance simulation of the realistic structural maize scene
3.1 3D maize scene modelling
3.2 Multi-temporal simulation analysis of maize canopy reflectance
Chapter 4 Inversion of leaf optical properties in urban areas at the sub-pixel scale
4.1 Inversion of leaf optical properties using simulated images
4.1.1 Noiseless ideal case for leaf optical properties inversion
4.1.2 Artificially noise case for leaf optical properties inversion
4.2 Inversion of leaf optical properties using satellite image
4.2.1 Study area overview and PlanetScope data pre-processing
4.2.2 Inversion of optical properties of leaves from multispectral images
Chapter 5 Using vegetation indices to estimate leaf area index
5.1 Using negative soil adjustment factor of SAVI to mitigate vegetation index saturation effect
5.1.1 Study of index isoline and vegetation isoline
5.1.2 Relationship between vegetation indices and LAI
5.2 Using hotspot signature vegetation indices to estimate LAI
5.2.1 Evaluation of inversion of leaf area index without noise interference
5.2.2 Evaluation of inversion of leaf area index with random noise interference
Chapter 6 Analysis of the influence of environmental noise on vegetation indices
6.1 Comparison of vegetation indices for soil noise resistance
6.2 Effects of atmosphere on vegetation indices
6.3 Effect of spectral response functions on vegetation indices
6.3.1 Pre-calibration error assessment
6.3.2 Band correlation coefficient calibration
6.3.3 Post-calibration error assessment
Chapter 7 Conclusion and perspectives
7.1 Major conclusions
7.2 Innovations
7.3 Shortcomings and perspectives
Bibliography