Product self-assessment to CARD4L Normalised Radar Backscatter

Slides:



Advertisements
Similar presentations
Digital Image Processing
Advertisements

REQUIRING A SPATIAL REFERENCE THE: NEED FOR RECTIFICATION.
Meteorological Observatory Lindenberg – Richard Assmann Observatory The GCOS Reference Upper Air Network.
New modules of the software package “PHOTOMOD Radar” September 2010, Gaeta, Italy X th International Scientific and Technical Conference From Imagery to.
Scanner Characteristics
ReCover for REDD and sustainable forest management EU ReCover project: Remote sensing services to support REDD and sustainable forest management in Fiji.
SDCG-6 Oslo, Norway October 22-24, 2014 SDCG-6 Session 7 JAXA contributions to R&D Support strategy ( Element 3)
Lineage February 13, 2006 Geog 458: Map Sources and Errors.
IGARSS’11, Vancouver Water Body Detection from TanDEM-X Data: concept & first evaluation of an accurate water indication mask A. Wendleder 1), M. Breunig.
Meteorological Observatory Lindenberg – Richard Assmann Observatory The GCOS Reference Upper Air Network.
Remote Sensing and Active Tectonics Barry Parsons and Richard Walker Michaelmas Term 2011 Lecture 4.
Land Cover Classification Defining the pieces that make up the puzzle.
Orthorectification using
Purpose and objectives: AVHRR LAC expert meeting Bojan R. Bojkov Head, Sensor Performance, Products and Algorithms Directorate for Earth Observation ESA/ESRIN.
Forward-Scan Sonar Tomographic Reconstruction PHD Filter Multiple Target Tracking Bayesian Multiple Target Tracking in Forward Scan Sonar.
1 Howard Schultz, Edward M. Riseman, Frank R. Stolle Computer Science Department University of Massachusetts, USA Dong-Min Woo School of Electrical Engineering.
Radiometric Correction and Image Enhancement Modifying digital numbers.
1 U.S. Department of the Interior U.S. Geological Survey LP DAAC Stacie Doman Bennett, LP DAAC Scientist Dave Meyer, LP DAAC Project Scientist.
Page 1 ASAR Validation Review - ESRIN – December 2002 IM and WS Mode Level 1 Product quality update F Introduction F IM Mode Optimisation F Updated.
MODIS Geolocation Status Mash Nishihama Raytheon NASA Goddard Space Flight Center, Code 922, Greenbelt, MD, USA Robert E. Wolfe Raytheon
Page 1 ASAR Validation Review - ESRIN – December 2002 Advanced Technology Centre ASAR APP & APM Image Quality Peter Meadows & Trish Wright  Properties.
Using SAR Intensity and Coherence to Detect A Moorland Wildfire Scar.
SDCG-6 Oslo, Norway October 22-24, 2014 SESSION 4: Global Data Flows Study Gene Fosnight USGS, Frank Martin Seifert,
Module 2.8 Overview and status of evolving technologies REDD+ training materials by GOFC-GOLD, Wageningen University, World Bank FCPF 1 Module 2.8 Overview.
1 Thursday 04-Jun ASAR WORKSHOP 2011 Canadian Government Calibration Operations within the RADARSAT Program Assessment of Distributed Target Sites.
Date: 18/09/2016 RASS-R Coverage Map Calculator Jeroen Janssens.
Analysis Ready Data LSI-VC – Adam Lewis Co-chair
NASA Earth Science Data Stewardship
(2) Norut, Tromsø, Norway Improved measurement of sea surface velocity from synthetic aperture radar Morten Wergeland Hansen.
Moderate Resolution Sensor Interoperability (MRI) Framework
Analysis Ready Data (ARD) SEO Status Report
Landsat Analysis Ready Data for LCMAP
Moderate Resolution Sensor Interoperability (MRI) Initiative
Data Interoperability Summary
Analysis Ready Data July 18, 2016 John Dwyer Leo Lymburner
Analysis Ready Data ..
Verifying the DCC methodology calibration transfer
Moderate Resolution Sensor Interoperability: Framework
Status Report on ARD Usage
Moderate Resolution Sensor Interoperability: Overview & Framework
Toshio Okumura (RESTEC), Shin-ichi Sobue (JAXA), Takeo Tadono (JAXA)
Extension of ARD concept to Atmosphere and Oceans?
Analysis ready data: definition document
USGS Agency Update: CARD4L Production Roadmap
Moderate Resolution Sensor Interoperability (MRI) Initiative
SAR-related ARD activities
Moderate Resolution Sensor Interoperability
Measuring Data Quality and Compilation of Metadata
CARD4L Product Alignment Assessment
Warm-up slide Jan : end of The World: Dubai island development sinks back into sea - financial crisis.
CEOS Analysis Ready Data for Land (CARD4L) Framework Recap
GRWG MW-SubGroup Candidate GSICS products – Window Channels
The Global Mangrove Watch (GMW)
LSI-VC Work Plan Updates
LSI-VC-3 Session 23, 24 CARD4L Overview and Specifications Objectives
Session 2: CARD4L Product Family Specification (10:00-10:45)
Committee on Earth Observation Satellites
Making a good thematic map – Extracting or collecting geographic data
ARD Uncertainties WGCV Plenary # 43 Sao Jose dos Campos, Brazil
CARD4L Survey Responses
Making a good thematic map – Extracting or collecting geographic data
Committee on Earth Observation Satellites
Discussion on product interoperability: from CARD4L to MRI
Session 2: CARD4L Product Family Specification (09:40:00-10:20)
Extracting or collecting geospatial data
Session 2: CEOS Analysis Ready Data for Land (10:50 – 11:00)
SR Self Assessment for CARD4L - Geoscience Australia
2011 International Geoscience & Remote Sensing Symposium
Forest / Non-forest (FNF) mapping for Viet Nam using PALSAR-2 time series images 2019/01/22 Truong Van Thinh – Master’s Program in Environmental.
WGCV CARD4L Peer Review Medhavy Thankappan WGCV-45 July 15-19, 2019.
Presentation transcript:

Product self-assessment to CARD4L Normalised Radar Backscatter Preliminary results JAXA 25m Global Mosaics to CARD4L Normalised Radar Backscatter Takeo Tadono, Ake Rosenqvist JAXA EORC LSI-VC-7, Hanoi, Vietnam, February 14-15, 2019

Global SAR mosaics – Image and Meta data Global SAR mosaic datasets image/data layers: • Radar backscatter (γo) – HH polarisation • Radar backscatter (γo) – HV polarisation • Local incidence angle • Observation date image • Mask image (layover, shadowing, no-data, water) • Data header The scenario is separated into descending (noon) and ascending (midnight) acquisitions. The various sensor imaging mode are shown in colours.

CARD4L Normalised Radar Backscatter 1 – Radiometric corrections Radiometric corrections - CARD4L spec: The requirements for radiometric corrections must be met for all pixels in a collection. The requirements indicate the necessary outcomes and to some degree the minimum steps necessary to be deemed to have achieved those outcomes. Radiometric corrections must lead to normalised measurement(s) of backscatter intensity. Four parameters: 1. Measurements (γo as Threshold and Target) 2. Noise removal (optional) 3. Terrain Corrections (RTC as Threshold and Target) 4. Radiometric accuracy (uncertainty quantified as Threshold and Target) The scenario is separated into descending (noon) and ascending (midnight) acquisitions. The various sensor imaging mode are shown in colours.

CARD4L Normalised Radar Backscatter 1 – Radiometric corrections 1°x 1°image tiles LHH LHV JAXA product compliance: Full Radiometric Terrain Correction (RTC) has been undertaken to eliminate incidence angle and topographic effects on the backscatter measurements to render γo, using a peer- reviewed algorithm. The backscatter values are given as (2 byte UINT) linear amplitude. All three sensors (JERS-1 SAR, PALSAR and PALSAR-2) have been subject to absolute calibration (using corner reflectors and radar transponders) and γo can be calculated with the standard formula for amplitude data: γo = 10 * log10(DN2) + K The global SAR mosaics conform with the CARD4L TARGET requirements for radiometric corrections. The scenario is separated into descending (noon) and ascending (midnight) acquisitions. The various sensor imaging mode are shown in colours.

CARD4L Normalised Radar Backscatter 2 – Geometric corrections Geometric corrections - CARD4L spec: Geometric corrections must place the measurement accurately on the surface of the Earth (i.e., geolocate the measurement) allowing measurements taken through time to be compared. The geometric accuracy requirements relate to: a) Sub-pixel accuracy b) DEM quality and consistency Gridding/sampling frame consistency Relevant metadata relating to geometric accuracy and geometric correction must be provided, Absolute geolocation is required. Orbit ephemeris updates (precise ephemeris) are required prior to any orthorectification steps to ensure accuracy. The scenario is separated into descending (noon) and ascending (midnight) acquisitions. The various sensor imaging mode are shown in colours.

CARD4L Normalised Radar Backscatter 2 – Geometric corrections JAXA product compliance: The global SAR mosaics are ortho-rectified using a peer-reviewed algorithm, utilising SRTM Digital Elevation Model. (JERS-1 & ALOS-1: SRTM-90, ALOS-2: SRTM030) In high-latitude regions (>60°N and S), a public open 3-arcsec global DEM is used. The global SAR mosaics meet at least the THRESHOLD requirements for parameter b (DEM quality and consistency). A study will be being undertaken to assess the compliance with parameters a) and c) (Sub-pixel accuracy; Gridding/sampling frame consistency) The scenario is separated into descending (noon) and ascending (midnight) acquisitions. The various sensor imaging mode are shown in colours.

CARD4L Normalised Radar Backscatter 3 – General Metadata General Metadata - CARD4L spec: The CARD4L NRB specification for general metadata are records describing a distributed collection of pixels that must be contiguous in space and time. The general metadata should allow the user to assess the overall suitability of the dataset, and must meet Threshold or Target requirements for the following parameters: Traceability Metadata machine readability Data collection time Geographical area Coordinate reference system Map projection Geometric correction Geometric accuracy Instrument Acquisition parameters Processing parameters Sensor calibration Radiometric accuracy Algorithms Ancillary data Processing chain provenance Data access Overall data quality Performance Indicators The scenario is separated into descending (noon) and ascending (midnight) acquisitions. The various sensor imaging mode are shown in colours.

CARD4L Normalised Radar Backscatter 3 – General Metadata JAXA product compliance: Two sources of general metadata are provided for the global SAR mosaics: an ENVI-formatted header file associated with each of the five image layers, and a Dataset Description document that is available for download from the JAXA www [8]. An initial assessment of the general metadata indicate that the SAR mosaics meet the THRESHOLD requirements in six instances (1, 2, 9, 16, 17, 18, 19), TARGET in nine instances (4, 5, 6, 7, 10, 11, 12, 13, 15), and unknown, not applicable or non-compliance in three instances (3, 8, 14). Traceability Metadata machine readability Data collection time Geographical area Coordinate reference system Map projection Geometric correction Geometric accuracy Instrument Acquisition parameters Processing parameters Sensor calibration Radiometric accuracy Algorithms Ancillary data Processing chain provenance Data access Overall data quality Performance Indicators The scenario is separated into descending (noon) and ascending (midnight) acquisitions. The various sensor imaging mode are shown in colours.

CARD4L Normalised Radar Backscatter 4 – Per-pixel Metadata Per-pixel Metadata - CARD4L spec: The per-pixel metadata specifications apply to each pixel. Whether the metadata are provided in a single record relevant to all pixels, or separately for each pixel, is at the discretion of the data provider. Per-pixel metadata should allow users to discriminate between (choose) observations on the basis of their individual suitability for application. 1. Metadata machine readability 2. No data 3. Layover 4. Shadow 5. Local Incidence Angle 6. Global Incidence Angle 7. Digital Elevation Model 8. Noise Equivalent Sigma0 9. Number of Looks The scenario is separated into descending (noon) and ascending (midnight) acquisitions. The various sensor imaging mode are shown in colours.

CARD4L Normalised Radar Backscatter 4 – Per-pixel Metadata JAXA product compliance: Per-pixel metadata are provided in the form of 8 or 16 bits image data, with pixel-to-pixel correspondence with the backscatter image data. These include local incidence angle, observation date and data masks for layover, shadowing and no-data. The SAR mosaics meet the THRESHOLD requirements in one instance (1), TARGET in four instances (2, 3, 4, 5), and unknown, not applicable or non-compliance in four instances (6, 7, 8, 9). 1. Metadata machine readability 2. No data 3. Layover 4. Shadow 5. Local Incidence Angle 6. Global Incidence Angle 7. Digital Elevation Model 8. Noise Equivalent Sigma0 9. Number of Looks The scenario is separated into descending (noon) and ascending (midnight) acquisitions. The various sensor imaging mode are shown in colours. Local incidence angle Observation date Mask (shadow, layover, no-data)

CARD4L Normalised Radar Backscatter Summary This preliminary self-assessment of JAXA’s Global SAR Mosaic datasets against the CARD4L Normalised Radar Backscatter specification indicates that the mosaic products meet the TARGET requirements for radiometric corrections; THRESHOLD requirements for one geometric correction parameter, with the other two requiring further investigation; At least THRESHOLD requirements for 21 out of 28 metadata parameters, with the remaining seven unknown, not applicable or non-compliant. A formal and comprehensive self-assessment is planned to be undertaken by JAXA during 2019, with the aim to make the global SAR mosaics the first SAR data product to be fully compliant with the CARD4L Normalised Radar Backscatter specifications before the end of 2019. The scenario is separated into descending (noon) and ascending (midnight) acquisitions. The various sensor imaging mode are shown in colours.

CARD4L Normalised Radar Backscatter 以上 (That’s all) The scenario is separated into descending (noon) and ascending (midnight) acquisitions. The various sensor imaging mode are shown in colours.