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Overview of Joint Agency Commercial Imagery Evaluation (JACIE) Presented to ASPRS, 13 March 2009 Mike Benson Remote Sensing Technologies [email protected] U.S. Department of the Interior U.S. Geological Survey 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 2 JACIE TEAM Validation Teams U of Maryland U of Arizona S. Dakota State U SCIENCE USERS 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… 3 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 4 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 5 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 6 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 7 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 8 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 9 DMC Support Performed Geometric Assessment of TopSat and BEIJING-1 Data BEIJING-1 (Pan): I2I Vector Residual Plot TopSat (Pan): I2I Vector Residual Plot 10 Cross-calibration of IRS-P6 & Landsat 11 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 12 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 13 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 15