Rick Guritz IGARSS Meeting, July 28 2011 1 Rick Guritz, Don Atwood 1 Bruce Chapman, and Scott Hensley 2 1)Alaska Satellite Facility 2)NASA Jet Propulsion.

Slides:



Advertisements
Similar presentations
Lab for Remote Sensing Hydrology and Spatial Modeling Dept. of Bioenvironmental Systems Engineering, NTU Satellite Remote Sensing for Land-Use/Land-Cover.
Advertisements

Beyond Spectral and Spatial data: Exploring other domains of information GEOG3010 Remote Sensing and Image Processing Lewis RSU.
Validation of radiometric models and simulated KaRIn/SWOT data based on ground and airborne acquisitions Page de titre, mentionner contributions Altamira.
On The Use of Polarimetric Orientation for POLSAR Classification and Decomposition Hiroshi Kimura Gifu University, Japan IGARSS 2011 Vancouver, Canada.
Don Atwood & David SmallIGARSS July USE OF RADIOMETRIC TERRAIN CORRECTION TO IMPROVE POLSAR LAND COVER CLASSIFICATION USE OF RADIOMETRIC TERRAIN.
On Estimation of Soil Moisture & Snow Properties with SAR Jiancheng Shi Institute for Computational Earth System Science University of California, Santa.
Jet Propulsion Laboratory California Institute of Technology The NASA/JPL Airborne Synthetic Aperture Radar System (AIRSAR) Yunling Lou Jet Propulsion.
Sar polarimetric data analysis for identification of ships S. Swarajya lakshmi ADRIN, Dept. of Space, Govt. of India India Geospatial Forum – 14 th International.
Sky Hunter Exploration. Sky Hunter Exploration is a Calgary, Canada-based company that provides a valuable exploration tool to oil and.
Magnitude and Spatial Distribution of Uncertainty in Ecosystem Production and Biomass of Amazonia Caused by Vegetation Characteristics Christopher Potter.
DETERMINING LAND DEVELOPMENT EFFECT ON SURFACE RUNOFF USING GIS.
Estimating forest structure in wetlands using multitemporal SAR by Philip A. Townsend Neal Simpson ES 5053 Final Project.
Radiometric and Geometric Errors
Digital Elevation Models GLY 560: GIS and Remote Sensing for Earth Scientists Class Home Page:
Remote sensing in meteorology
ASTER image – one of the fastest changing places in the U.S. Where??
Multiple Criteria for Evaluating Land Cover Classification Algorithms Summary of a paper by R.S. DeFries and Jonathan Cheung-Wai Chan April, 2000 Remote.
Applying Target Decomposition Algorithms on the Detection of Man Made Targets Using Polarimetric SAR University of British Columbia September, 2007 Flavio.
Oil Spill Detection and Tracking Technologies Aircraft and Autonomous Aircraft Detection Methods HF Radar Tracking Methods Autonomous Surface Vessel Tracking.
Princeton University Global Evaluation of a MODIS based Evapotranspiration Product Eric Wood Hongbo Su Matthew McCabe.
Contrasting Tropical Rainfall Regimes Using TRMM and Ground-Based Polarimetric Radar by S. A. Rutledge, R. Cifelli, T. Lang and S. W. Nesbitt EGU 2009.
Lunar Observations of Changes in the Earth’s Albedo (LOCEA) Alexander Ruzmaikin Jet Propulsion Laboratory, California Institute of Technology in collaboration.
Hyperspectral Satellite Imaging Planning a Mission Victor Gardner University of Maryland 2007 AIAA Region 1 Mid-Atlantic Student Conference National Institute.
The Global Digital Elevation Model (GTOPO30) of Great Basin Location: latitude 38  15’ to 42  N, longitude 118  30’ to 115  30’ W Grid size: 925 m.
Light Detection and Ranging (LiDAR) LiDAR is increasingly regarded as the de facto data source for the generation of Digital Elevation Models (DEMs) in.
earthobs.nr.no Land cover classification of cloud- and snow-contaminated multi-temporal high-resolution satellite images Arnt-Børre Salberg and.
Using NPOL (the NASA S-band polarimetric radar), and a network of 2D video disdrometers for external radar calibration and rain rate estimation, and to.
March, 2006 NASA Dryden Update Aerospace Control and Guidance Systems Committee Meeting #97 Lake Tahoe, NV March 1-3, 2006 Joe Pahle (661)
On Estimation of Surface Soil Moisture from SAR Jiancheng Shi Institute for Computational Earth System Science University of California, Santa Barbara.
Uses of Geospatial Soils & Surface Measurement Data in DWR Delta Levee Program Joel Dudas
IGARSS’11 Compact Polarimetry Potentials My-Linh Truong-Loï, Jet Propulsion Laboratory / California Institue of Technology Eric Pottier, IETR, UMR CNRS.
Courtney D. Radley 1, Frank J. LaFontaine 2, Robbie E. Hood 3, John R. Mecikalski 4, Kevin R. Knupp 4, and Daniel J. Cecil 4 1 Universities Space Research.
Using spectral data to discriminate land cover types.
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.
Thematic Workshop on Standardization and Exchange of Land Use and Cover Information Wednesday, April 27, 2005 Chicago, Illinois.
GISMO Simulation Study Objective Key instrument and geometry parameters Surface and base DEMs Ice mass reflection and refraction modeling Algorithms used.
Calibration and Validation Studies for Aquarius Salinity Retrieval PI: Shannon Brown Co-Is: Shailen Desai and Anthony Scodary Jet Propulsion Laboratory,
SWOT Near Nadir Ka-band SAR Interferometry: SWOT Airborne Experiment Xiaoqing Wu, JPL, California Institute of Technology, USA Scott Hensley, JPL, California.
Spectral classification of WorldView-2 multi-angle sequence Atlanta city-model derived from a WorldView-2 multi-sequence acquisition N. Longbotham, C.
Uses of Geospatial Soils & Surface Measurement Data in DWR Delta Levee Program Joel Dudas
Christian N. Koyama University of Cologne IGARSS 2011 Vancouver, July 26 Soil Moisture Retrieval Under Vegetation Using Dual Polarized PALSAR Data Christian.
WEATHER SIGNALS Chapter 4 (Focus is on weather signals or echoes from radar resolution volumes filled with countless discrete scatterers---rain, insects,
Scott Hensley, Howard Zebker, Cathleen Jones, Paul Lundgren, Eric Fielding, Thierry Michel and Bruce Chapman.
CCAR / University of Colorado 1 Airborne GPS Bistatic Radar in CLPX Dallas Masters University of Colorado, Boulder Valery Zavorotny NOAA ETL Stephen Katzberg.
The Ionosphere and Interferometric/Polarimetric SAR Tony Freeman Earth Science Research and Advanced Concepts Manager.
Measuring Vegetation Characteristics
SWOT Hydrology Workshop Ka-band Radar Scattering From Water and Layover Issues Delwyn Moller Ernesto Rodriguez Contributions from Daniel Esteban-Fernandez.
MIT AI Lab / LIDS Laboatory for Information and Decision Systems & Artificial Intelligence Laboratory Massachusetts Institute of Technology A Unified Multiresolution.
Zhibo (zippo) Zhang 03/29/2010 ESSIC
Goldstone Radar Support for LCROSS Evaluation of Impact Sites Martin Slade October 16, 2006 National Aeronautics and Space Administration Jet Propulsion.
Mark Haynes, Brent Williams, Eva Peral,
Interactions of EMR with the Earth’s Surface
NOTE, THIS PPT LARGELY SWIPED FROM
Integrating LiDAR Intensity and Elevation Data for Terrain Characterization in a Forested Area Cheng Wang and Nancy F. Glenn IEEE GEOSCIENCE AND REMOTE.
26. Classification Accuracy Assessment
Built-up Extraction from RISAT Data Using Segmentation Approach
ASTER image – one of the fastest changing places in the U.S. Where??
Class 12 Assessment of Classification Accuracy
Analysis Ready Data ..
Polarimetric radar analysis of convection in the complex topography
University College London (UCL), UK
Evaluating Land-Use Classification Methodology Using Landsat Imagery
Hyperspectral Image preprocessing
Hiroshi Kimura Gifu University, Japan IGARSS 2011 Vancouver, Canada
M. L. Williams1 and T. L. Ainsworth2
M. L. Williams1 and T. L. Ainsworth2
Remote sensing in meteorology
Hiroshi Kimura Gifu University, Japan IGARSS 2011 Vancouver, Canada
Introduction to SAR Imaging
Presentation transcript:

Rick Guritz IGARSS Meeting, July Rick Guritz, Don Atwood 1 Bruce Chapman, and Scott Hensley 2 1)Alaska Satellite Facility 2)NASA Jet Propulsion Laboratory POLARIMETRIC IMPLICATIONS OF INCIDENCE ANGLE VARIABILITY FOR UAVSAR

Rick Guritz IGARSS Meeting, July UAVSAR The UAVSAR L-band radar is housed in a pod flown on the NASA G-3 platform, shown here in flight over Edwards Air Force Base, California.

Rick Guritz IGARSS Meeting, July NASA Jet Propulsion Lab’s UAVSAR Instrument Reconfigurable L-band, quad-polarimetric SAR Developed specifically for repeat track differential interferometry Designed to be flown aboard a UAV (Uninhabited Aerial Vehicle) Currently being flown aboard a Gulfstream III Mission-based data acquisition UAVSAR

Rick Guritz IGARSS Meeting, July NASA Jet Propulsion Lab’s UAVSAR Instrument Reconfigurable L-band, quad-polarimetric SAR Developed specifically for repeat track differential interferometry Designed to be flown aboard a UAV (Uninhabited Aerial Vehicle) Currently being flown aboard a Gulfstream III Mission-based data acquisition Lacks coverage of spaceborne SAR, but offers higher resolution and better noise floor. Great data for PolSAR research. However airborne platform presents broad range of look angles, possibly making classification more challenging UAVSAR

Rick Guritz IGARSS Meeting, July Motivation Investigate the affects of incidence angle variation on polarimetric scattering mechanisms –As noted by Dr. Lee in his summary talk Tuesday Ideal Radiometric Terrain Correction will require knowledge of terrain type – No current RTC algorithms address this Assess possible implications for polarimetric classification

Rick Guritz IGARSS Meeting, July Presentation Overview Introduce Project Study Area Show ellipsoidal and local incidence angle ranges Introduce statistical method for investigating scattering mechanisms Characterize impact of incidence angle on scattering mechanisms Analyze trends

Rick Guritz IGARSS Meeting, July Land Cover Classification of Yellowstone ylwstn_26903_10067 Aug 10, 2010

Rick Guritz IGARSS Meeting, July Ellipsoidal Incidence Angle Ranges from 12 to 64 degrees Incidence Angle Variability 70 degrees 0 degrees

Rick Guritz IGARSS Meeting, July Hillshade DEM Incidence Angle Variability

Rick Guritz IGARSS Meeting, July Local Incidence Angle Incidence Angle Variability 90 degrees 0 degrees

Rick Guritz IGARSS Meeting, July Segmentation of Local Incidence Angle Incidence Angle Variability

Rick Guritz IGARSS Meeting, July Reference Data USGS NLCD 2006

Rick Guritz IGARSS Meeting, July Use PolSARpro and GIS to create a statistical characterization of polarimetric scattering for individual land cover classes Use to: Investigate the physics of scattering for specific classes Explore impact of varying the local incidence angle Statistical Analysis of Scattering Mechanisms Surface Double Bounce Volume

Rick Guritz IGARSS Meeting, July x3 Multilooked C3 VanZyl DecompositionConvert to GeoTIFF POA compensation Compute Class PDFs in GIS Polarimetric Processing

Rick Guritz IGARSS Meeting, July Extracting Scattering Strengths from Land Cover GIS Procedure: Normalize the polarimetric decomposition components (Surface, Double, Volume) for each resolution cell Determine Probability Distribution Function of Scattering Strengths for each Land Cover Class

Rick Guritz IGARSS Meeting, July Extracting Scattering Strengths from Land Cover GIS Procedure: Normalize the polarimetric decomposition components (Surface, Double, Volume) for each resolution cell Determine Probability Distribution Function of Scattering Strength for each Land Cover Class Surface Double Bounce Volume

Rick Guritz IGARSS Meeting, July VanZyl Decomposition (all Incidence Angles) Surface Double Bounce Volume

Rick Guritz IGARSS Meeting, July Pixel Count per Incidence Angle

Rick Guritz IGARSS Meeting, July Incidence Angle Analysis Surface Double Bounce Volume

Rick Guritz IGARSS Meeting, July Incidence Angle Analysis Surface Double Bounce Volume

Rick Guritz IGARSS Meeting, July Incidence Angle Analysis Surface Double Bounce Volume

Rick Guritz IGARSS Meeting, July Incidence Angle Analysis Surface Double Bounce Volume

Rick Guritz IGARSS Meeting, July Incidence Angle Analysis Surface Double Bounce Volume

Rick Guritz IGARSS Meeting, July Incidence Angle Analysis Surface Double Bounce Volume

Rick Guritz IGARSS Meeting, July Trend Analysis Surface Double Bounce Volume

Rick Guritz IGARSS Meeting, July Class: Evergreen Surface Double Bounce Volume

Rick Guritz IGARSS Meeting, July Class: Woody Wetlands Surface Double Bounce Volume

Rick Guritz IGARSS Meeting, July Class: Shrub/Scrub Surface Double Bounce Volume

Rick Guritz IGARSS Meeting, July Class: Herb/Grassland Surface Double Bounce Volume

Rick Guritz IGARSS Meeting, July Class: Emergent Herb Wetlands Surface Double Bounce Volume

Rick Guritz IGARSS Meeting, July Class: Barren Ground Surface Double Bounce Volume

Rick Guritz IGARSS Meeting, July Comparison: Scattering power of surface scattering drops off as function of angle Corresponding growth of volume and double bounce Barren ground exhibits strong specular reflection effect Comparison: Barren Ground vs Evergreen Forest Surface Double Bounce Volume Surface Double Bounce Volume

Rick Guritz IGARSS Meeting, July Comparison: Herb Wetlands vs Woody Wetlands Comparison: Herb wetlands and woody wetlands differ in magnitude of surface scattering Herb wetland exhibits rapid fall-off of surface scattering, similar to barren ground Surface Double Bounce Volume Surface Double Bounce Volume

Rick Guritz IGARSS Meeting, July Comparison: Herb/Grassland vs Shrub/Scrub Comparison: Trends for Herb/Grassland and Shrub/Scrub are remarkably similar making it hard to distinguish these two vegetation classes Surface Double Bounce Volume Surface Double Bounce Volume

Rick Guritz IGARSS Meeting, July Summary Introduced methodology for characterizing scattering mechanisms using VanZyl decomposition VanZyl scattering mechanism vary strongly as a function of local incidence angle for all classes Trend across classes included diminishing surface scattering and increasing volume and double bounce scattering as incidence angle increases This effect is most pronounced for smooth surfaced (e.g. barren ground and emergent wetlands)

Rick Guritz IGARSS Meeting, July Questions? Rick Guritz (907) Photo Credit: Don Atwood