Modèle d'architecture d'arbre:

Slides:



Advertisements
Similar presentations
1 Grafcet point de vue système. 2 Cliquez pour mise en route 0P 0Z 1V 2V 2V 1 1V 1 1V 2 1Z BPR 0Z 3 0V 1A.
Advertisements

Copyright © 2003 Pearson Education, Inc. Slide 1 Computer Systems Organization & Architecture Chapters 8-12 John D. Carpinelli.
STATISTICS Joint and Conditional Distributions
STATISTICS Univariate Distributions
Surface Water and Ocean Topography (SWOT) Satellite Mission
Validation of the 6S radiative transfer code for atmospheric correction of MODIS data MODIS ST Meeting, Land Discipline BreakoutMarch 24 th, 2005 Svetlana.
Microwave remote sensing applications and it’s use in Vietnam
Signatures of Forest Radar Images at VHF-band. BioGeoSAR07 Overview Airborne SAR system IMARK Simultaneous radar and ground-based forest measurements.
0 - 0.
2 pt 3 pt 4 pt 5 pt 1 pt 2 pt 3 pt 4 pt 5 pt 1 pt 2 pt 3 pt 4 pt 5 pt 1 pt 2 pt 3 pt 4 pt 5 pt 1 pt 2 pt 3 pt 4 pt 5 pt 1 pt Time Money AdditionSubtraction.
UoL MSc Remote Sensing Dr Lewis
School Shop. Welcome to my shop. You have 10p How much change will you get? 7p 3p change.
Robin Hogan, Chris Westbrook University of Reading Lin Tian NASA Goddard Space Flight Center Phil Brown Met Office Why it is important that ice particles.
Proposed new uses for the Ceilometer Network
Long-term monitoring of the tropospheric aerosol vertical structure and optical properties by active and passive remote- sensing at Ny-Aalesund, Svalbard.
Chapter 7: Steady-State Errors 1 ©2000, John Wiley & Sons, Inc. Nise/Control Systems Engineering, 3/e Chapter 7 Steady-State Errors.
DAM-Île de France Département Analyse, Surveillance, Environnement 06/06/2014 DIF/DASE/B.ALCOVERRO 1 INFRASOUND SENSOR CALIBRATION DEVICE 13/11/2001 Infrasound.
8.4 Percent Concentration
Page 1 ENVISAT Press Day - ESTEC, 1 February 2001 Fabio Rocca Dipartimento di Elettronica e Informazione Politecnico di Milano Envisat for the physics.
Addition 1’s to 20.
Radar Remote Sensing By Falah Fakhri Post-doctoral Scholar
AMS’04, Seattle, WA. January 12, 2004Slide 1 HYDROS Radiometer and Radar Combined Soil Moisture Retrieval Using Kalman Filter Data Assimilation X. Zhan,
On Estimation of Soil Moisture & Snow Properties with SAR Jiancheng Shi Institute for Computational Earth System Science University of California, Santa.
Forest Monitoring of the Congo Basin using Synthetic Aperture Radar (SAR) James Wheeler PhD Student Supervisors: Dr. Kevin Tansey,
Electromagnetic Models In Active And Passive Microwave Remote Sensing of Terrestrial Snow Leung Tsang 1, Xiaolan Xu 2 and Simon Yueh 2 1 Department of.
Oil spill off NW coast of Spain IKONOS image Oil reaching shore.
A Short Note on Selecting a Microwave Scattering or Emission Model A.K. Fung 1 and K. S. Chen 2 1 Professor Emeritus University of Texas at Arlington Arlington,
Radar, Lidar and Vegetation Structure. Greg Asner TED Talk.
Active Microwave and LIDAR. Three models for remote sensing 1. Passive-Reflective: Sensors that rely on EM energy emitted by the sun to illuminate the.
Radiative Transfer Theory at Optical and Microwave wavelengths applied to vegetation canopies: part 1 UoL MSc Remote Sensing course tutors: Dr Lewis
What is RADAR? What is RADAR? Active detecting and ranging sensor operating in the microwave portion of the EM spectrum Active detecting and ranging sensor.
An overview of Lidar remote sensing of forests C. Véga French Institute of Pondicherry.
Update of the National Biomass and Carbon Dataset 2000 using ALOS PALSAR L-band data Josef Kellndorfer, Wayne Walker, Oliver Cartus The Woods Hole Research.
Fig. 2: Radiometric angular response from deciduous Paulownia trees is plotted. The red, blue, black, and green curves trace the simulated values of four.
UCL DEPARTMENT OF GEOGRAPHY GEOGG141/ GEOG3051 Principles & Practice of Remote Sensing (PPRS) Radiative Transfer Theory at optical wavelengths applied.
On Estimation of Surface Soil Moisture from SAR Jiancheng Shi Institute for Computational Earth System Science University of California, Santa Barbara.
Objectives  The objectives of the workshop are to stimulate discussions around the use of 3D (and probably 4D = 3D+time) realistic modeling of canopy.
IGARSS’11 Compact Polarimetry Potentials My-Linh Truong-Loï, Jet Propulsion Laboratory / California Institue of Technology Eric Pottier, IETR, UMR CNRS.
Quantitative Estimates of Biomass and Forest Structure in Coastal Temperate Rainforests Derived from Multi-return Airborne Lidar Marc G. Kramer 1 and Michael.
National Aeronautics and Space Administration Jet Propulsion Laboratory California Institute of Technology Pasadena, California MITSUBISHI SPACE SOFTWARE.
DOCUMENT OVERVIEW Title: Fully Polarimetric Airborne SAR and ERS SAR Observations of Snow: Implications For Selection of ENVISAT ASAR Modes Journal: International.
Active Microwave and LIDAR. Three models for remote sensing 1. Passive-Reflective: Sensors that rely on EM energy emitted by the sun to illuminate the.
Roughness Model of Radar Backscattering From Bare Soil Surfaces Amimul Ehsan Electrical Engineering and Computer Science Department, University of Kansas.
Biomass retrieval in temperate forested areas with a synergetic approach using SAR and Optical satellite imagery Nicolas Ackermann Supervisor: Prof. Christiane.
Active Microwave Physics and Basics 1 Simon Yueh JPL, Pasadena, CA August 14, 2014.
BIOPHYS: A Physically-based Algorithm for Inferring Continuous Fields of Vegetative Biophysical and Structural Parameters Forrest Hall 1, Fred Huemmrich.
DMRT-ML Studies on Remote Sensing of Ice Sheet Subsurface Temperatures Mustafa Aksoy and Joel T. Johnson 02/25/2014.
Christian N. Koyama University of Cologne IGARSS 2011 Vancouver, July 26 Soil Moisture Retrieval Under Vegetation Using Dual Polarized PALSAR Data Christian.
TropiSCAT : A MULTI-FREQUENCY POLINSAR DATA CAMPAIGN OF ACQUISITION FOR VEGETATION CHARACTERIZATION Clément ALBINET – Office National d’Etudes et de Recherches.
1/16 4D modeling of canopy architecture for improved characterization of state and functionning F. Baret INRA-CSE Avignon.
On Estimation of Soil Moisture with SAR Jiancheng Shi ICESS University of California, Santa Barbara.
Geometric optical (GO) modeling of radiative transfer in plant canopy Xin Xi.
Retrieval of Soil Moisture and Vegetation Canopy Parameters With L-band Radar for a Range of Boreal Forests Alireza Tabatabaeenejad, Mariko Burgin, and.
TropiSCAT : A MULTI-FREQUENCY POLINSAR DATA CAMPAIGN OF ACQUISITION FOR VEGETATION CHARACTERIZATION Clément ALBINET – Office National d’Etudes et de Recherches.
Effect of Soil Surface Roughness on Microwave Emission Amimul Ehsan Electrical Engineering and Computer Science Department, University of Kansas December.
Active Remote Sensing for Elevation Mapping
RADAR.  Go through intro part of LeToan.pdfhttp://earth.esa.int/landtraining07/D1LA1- LeToan.pdf.
Integrating LiDAR Intensity and Elevation Data for Terrain Characterization in a Forested Area Cheng Wang and Nancy F. Glenn IEEE GEOSCIENCE AND REMOTE.
Layover Layover occurs when the incidence angle (  ) is smaller than the foreslope (  + ) i.e.,  <  +. i.e.,  <  +. This distortion cannot be corrected!
Active Microwave Remote Sensing
Term Project Presentation
电磁场理论 (第四章) Electromagnetic Field Theory ( Ch.4)
Active Remote Sensing for Elevation Mapping
Radar backscattering measurements of paddy rice field using L, C and X-band polarimetric scatterometer ISRS 2007.
(L, C and X) and Full-polarization
M. L. Williams1 and T. L. Ainsworth2
Ocean Winds.
Grass-like Crop Canopies
M. L. Williams1 and T. L. Ainsworth2
Introduction to SAR Imaging
Presentation transcript:

Modèle d'architecture d'arbre: Atelier de Modélisation de l'Architecture des Plantes, CIRAD - analyse de l'architecture de la plante. - calibration par site à partir de mesures sur le terrain. - simulations -> maquettes (ensemble de cylindres). Apport: * Description détaillée des diffuseurs. * Prise en compte de la variabilité verticale. Âge (année)

EM MODELS AMAP MODEL (Cirad) Interface AMAP/RT (AMAP2SAR) Inputs of the e.m models Scatterers density (per layer) Geometric description Surface roughness Moisture (ground, vegetation) Acquisition parameters (f,p,i) EM MODELS (CESBIO) AMAP MODEL (Cirad) Model outputs backscatter values scattering mechanisms contribution of scatterers

RT-3D modelling and X-band HUTSCAT measurements Comparison RT-3D modelling and X-band HUTSCAT measurements Good agreement Penetration depth seems to be of several meters

Inversion into foliar biomass (LAI) Comparison for the 40-year old Austrian pine stand 18 16 14 12 10 Height above the ground (m) 8 6 4 In-situ LAI 2 Radar retrieved LAI 0.25 0.5 0.75 1 1.25 LAI (m²/m²)

horizontal, homogeneous layers Distorted Born approximation applied to the modelling of forest scattering Ediff Einc horizontal, homogeneous layers to compute (Foldy approximation) exact position of scatterers, compute

2D vs 3D modelling for single pass interferometry Interferometric height Interferometric height Phase centre

Height retrieval using single pass interferometry: 2D-3D Born approximation modelling X Band SRTM configuration C Band ERS-like configuration Lozere forest: Corsican pine

Picard G., T. Le Toan, S. Quegan,(2004) « A Three-Dimensional Radiative Transfer Model applied to ranging scatterometer measurements from a pine forest » Waves in Random Media, 14 (2004), 317-331. Picard G., T. Le Toan, S. Quegan, Y. Cariglio, (2004). Radiative Transfer modeling of cross-polarised backscatter from a pine forest using the discrete ordinate and eigenvalue method », IEEE Transactions on Geoscience and Remote Sensing,Vol 42, no 8, pp1720-1730. Castel T., A. Beaudoin, N. Floury, T. Le Toan, Barczi J.F., and Caraglio Y., "Deriving Forest Parameters for Backscatter Models Using the AMAP Architectural Plant Model", IEEE Transactions on Geoscience and Remote Sensing, 2000. Martinez J.M., N. Floury, T. Le Toan, A. Beaudoin, M.T. Hallikainen, and M. Makynen." Measurements and modelling of vertical backscatter distribution in forest canopy", IEEE Transactions on Geoscience and Remote Sensing, vol. 38, no 2, 710-719, March 2000 Melon P., Martinez JM, T. Le Toan, L. Ulander, A. Beaudoin, "On the retrieving of Forest stem volume from VHF SAR data" , IEEE Transactions on Geoscience and Remote Sensing, November 2001.