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Overview of Joint Agency Commercial Imagery Evaluation (JACIE)

This article provides an overview of the Joint Agency Commercial Imagery Evaluation (JACIE) program and its role in assessing and validating commercial remote sensing imagery. It discusses the agencies involved, the scope of the program, and the benefits it offers in terms of improved product characterization and communication with industry. It also highlights the 8th Annual JACIE Workshop held in 2009 and examples of JACIE-type work conducted by the USGS. The article emphasizes the importance of system/product characterization and the usability of remotely sensed data for science applications.

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Overview of Joint Agency Commercial Imagery Evaluation (JACIE)

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  1. Overview of Joint Agency Commercial Imagery Evaluation (JACIE) Presented to ASPRS, 13 March 2009 Mike Benson Remote Sensing Technologies benson@usgs.gov

  2. JACIE TEAM SCIENCE USERS Validation Teams U of Maryland U of Arizona S. Dakota State U Joint Agency Commercial Image Evaluation (JACIE) • Multi–Agency JACIE team formed in 2000 • National Aeronautics and Space Administration (NASA), National National Geo-spatial Intelligence Agency (NGA), and U.S. Department of Agriculture (USDA), and U.S. Geological Survey (USGS) • Annual workshops and documentation • Perform system assessments to meet requirements by leveraging each agency’s expertise

  3. Joint Agency Commercial Image Evaluation (JACIE) • JACIE supports Commercial Remote Sensing Space Policy • Provides a data quality assessment and validation model • Support science, civilian, and DoD applications • Supports US National Imaging role in terrestrial monitoring • Provide imagery users with an independent assessment and validation with respect to product quality and usability • Provides an understanding and characterization of new sensors • Scope include all civil and commercial sensors useful to the U.S. remote sensing • National or international • Aerial or satellite • Optical, Light Detection And Ranging (LiDAR), Interferometer Synthetic Aperture Radar (IfSAR), hyperspectral, Multispectral, etc…

  4. Joint Agency Commercial Image Evaluation (JACIE) • CRSSP Requirements database and archive • Database of remotely sensed data requirements and data archive • Benefits: • Improved product characterizations • Improved commercial products • Improved communication with industry, both vendors and users • Cost efficiencies by both Government and industry – reduced duplication of effort • Provide imagery users with an independent assessment and validation with respect to product usability • Help support use remotely sensed information/applications • Supports new applications and understanding of remotely sensed data

  5. Joint Agency Commercial Imagery Evaluation (JACIE) 8th Annual Workshop held March 31 – April 2, 2009 • USGS, NGA, USDA, and NASA Collaboration • Fairfax Marriott at Fair Oaks, Fairfax, VA • Workshop information @ http://calval.cr.usgs.gov/jacie.php • Scope includes to High & Medium Resolution Satellite & Aerial sensors useful to the remote sensing community – U.S. and International systems • Additional session on other sensors • Independent assessment and validation of product quality and usability • New applications and understanding of remotely sensed data

  6. System/Product Characterization • System Characterization is related to understanding the sensor system, how it produces data, and the quality of the produced data • Imagery attempts to accurately report the conditions of the Earth's surface at a given the time. • Assessed by product characterization categories: • Geometric/Geodetic: The positional accuracy with which the image represents the surface (pixel coordinates vs. known ground points) • Spatial: The accuracy with which each pixel represents the image within its precise portion of the surface and no other portion • Spectral: The wavelengths of light measured in each spectral "band" of the image • Radiometric: The accuracy of the spectral data in representing the actual reflectance from the surface • Dataset Usability: The image data and understanding of the data is easily usable for science application

  7. Examples of USGS JACIE type work Landsat Data Gap and Remote Sensing Technologies Support and Testing • Landsat Data Gap mission/applications assessments and reports • Characterization of many satellite and aerial remote sensing systems • Understanding new technologies and applications • IRS-P6 Test Downlink performed on Aug 27, 2007 • CBERS-2 Test Downlink performed on Mar 30, 2006 • CBERS-2B Test Downlink at USGS EROS on Nov 27, 2008

  8. Technical Report • Report Sections • Background and Sensor overview • Data Characterization • Science Utility • Mission Assessment • Many Appendixes Report available: http://calval.cr.usgs.gov/landsat_data_group_studies.php

  9. Landsat Cross-calibration Activities • Recently completed or continuing Cross-calibration Activities • L7 ETM+ and L5 TM sensor • L5 TM and L4 TM sensor • L7 ETM+/L5 TM and EO-1 ALI sensor • L7 ETM+/L5 TM and Terra MODIS sensor • L7 ETM+/L5 TM and IRS-P6 AWiFS/LISS-III sensor • L7 ETM+/L5 TM and CBERS-2A CCD sensor • L7 ETM+/L5 TM and ALOS AVNIR-2 sensor • On-going or planned Cross-calibration Activities with L7 and L5 • Beijing1, CBERS-2B, DMC,THEOS, ResourceSat, RapidEye, SPOT • QuickBird, Worldview, GEOEYE, Topsat • AVHRR MetOP, ENVISAT MERIS, MODIS • ASTER DEM, Cartosat-1 and -2

  10. DMC Support • Performed Geometric Assessment of TopSat and BEIJING-1 Data BEIJING-1 (Pan): I2I Vector Residual Plot TopSat (Pan): I2I Vector Residual Plot

  11. Cross-calibration of IRS-P6 & Landsat

  12. Cross-calibration of MODIS & ETM+ • Overall, a very good long-term agreement (± 2%) is seen between Terra MODIS and L7 ETM+ over seven years of operation. • The maximum change seen in ETM+ Band 1 and MODIS Band 3 which can be attributed to the long-term degradation especially at shorter wavelengths • Constant shifts in the ETM+ and MODIS trends is due to the significant spectral mismatch between the two sensors

  13. Multiple Satellites Used in Science • Example of data to support Sagebrush study in Wyoming, USA Data included: • Landsat-5 • Landsat-7 • EO-1 ALI • EO-1 Hyperion • ASTER • IRS AWiFS • IRS LISS-III • Surrey DMC • DG Quickbird

  14. JACIE 2009 Civil Commercial Imagery Evaluation Workshop • March 31 –April 2, 2009 • Agenda • http://www.usm.edu/profdev_edoutreach/jacie/agenda2009.html • Remote Sensing Technologies Project Web Page • http://calval.cr.usgs.gov/index.php • JACIE Presentations • http://calval.cr.usgs.gov/jacie.php

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