Steady Landsat Calibration: ETM to OLI .


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The Team
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Slide 1

Predictable Landsat Calibration: ETM+ to OLI Landsat Science Team Meeting January 9, 2007 USGS EROS Dennis Helder Ron Morfitt South Dakota State University SAIC/EROS USGS OLI Cal/Val Lead

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The Team… South Dakota State University Jim Dewald, Dave Aaron Larry Leigh Rimy Malla, Cody Anderson, Sirish Uprety, Raj Bhatt, Dan Morstad USGS EROS Ron Morfitt, Esad Micijevic, Gyanesh Chander, Obaidul Haque, Pat Scaramuzza NASA GSFC Brian Markham, Julia Barsi, Ed Kaita, Lawrence Ong, Raviv Levy

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Outline ETM+ operational at dispatch/OIV of OLI Cal/Val arrange Image Assessment Systems ETM+/TM/OLI Under-flight opportunity Bridging the crevice: cross-adjustment with different sensors Overview of idea Candidate sensors Issues Actions Bridging the hole: utilization of pseudo-invariant locales Overview of idea Candidate destinations Relationship to Vicarious Calibration Issues Actions Summary

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Calibration & Validation Overview Primary Mission: Ensure precise ghastly, radiometric, spatial and geometric portrayal and alignment of LDCM information items and instrument Government Cal/Val Plan characterizes degree and parts and duties of the joint Cal/Val Team NASA leads through appointing USGS leads amid operations Primary Cal/Val Team communications USGS ground framework Instrument seller Spacecraft merchant Landsat Science Team

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Calibration & Validation Functions… Oversight and coordination of Cal/Val exercises Covers segments of ground framework, rocket, instrument and other outer elements Algorithm advancement OLI information test system Cal/Val toolset/model Algorithms conveyed to ground framework engineers Data preparing, portrayal and alignment Instrument execution portrayal OLI pre-dispatch, OIV and on-circle operations Supports instrument acknowledgment

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Calibration & Validation Functions Calibration parameter assurance & approval Pre-dispatch approval of seller gave parameters Validated parameters guarantee quality items Product execution portrayal Reports for science and client group Independent adjustment confirmation and adjustment coherence Ensures traceability and progression with recorded items Anomaly determination Includes abnormalities in item era and picture appraisal Supports observatory and other peculiarity determination, as asked for by FOT

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Original Image Assessment System Enables Calibration upgrades Report on instrument and item execution Investigate inconsistencies Drawbacks of current usage Offline portrayals Characterizes division of picture acquisitions Relies intensely on Calibration Analysts

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Users Cal/Val Analysts L7 Ground System Block Diagram Archive LPS LPGS CPF IAS Database Performance Reports

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Users Cal/Val Team LDCM Ground System Block Diagram Archive Ingest Product Generation CPF IAS Database Performance Reports

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LDCM Concept of IAS Perform portrayals on each scene gained Increased database size and handling necessities Increased robotization Required because of increment in number of locators Provide quick alarms Calibration redesign required Instrument execution corruption Product execution debasement Prototyped with ALIAS Scene measurements used to lessen striping in ALI

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OLI Underflight of ETM+ OLI will procure close synchronous symbolism with ETM+ Assuming Landsat-7 operational at dispatch Enables cross-alignment Other choices conceivable Provides best open door for adjustment congruity Other choices diminish exactness of cross-alignment Landsat-7 underfly of Landsat-5 in 1999 Provided cross-alignment Increased equivalence of ETM+ with TM

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Bridging the hole: cross-alignment with different sensors Overview of idea An "adjusted" radiometer can be utilized to exchange the alignment starting with one instrument then onto the next, or starting with one source then onto the next Example: Landsat TM was utilized to exchange the alignment from NIST referenced incorporating circle to on-load up cal lights Two issues/openings display in this situation: Transfer of adjustment from ETM+ to OLI from space stage Provide steady Earth information from spanning instrument(s) amid hole Endpoints are basic Cross-alignment of connecting sensor(s) with ETM+ (L5 TM?) Cross-adjustment of crossing over sensor(s) with OLI Trend of connecting sensor(s) should likewise be followed

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1986 100 km 1997 Landsat Importance to Science Change is happening at rates remarkable in mankind\'s history The Landsat program gives the main stock of the worldwide land surface after some time at a scale where human versus normal reasons for change can be separated on a regular premise No other satellite framework is able/dedicated to even yearly worldwide scope at this scale Amazonian Deforestation

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Landsat Cross-adjustment Activities On-going Cross-alignment 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-2 CCD sensor L7 ETM+/L5 TM and ALOS AVNIR-2 sensor Planned Cross-adjustment Activities TM and MSS sensors L7 ETM+/L5 TM and CBERS-2B CCD sensor L7 ETM+/L5 TM and ENVISAT MERIS sensor L7 ETM+/L5 TM and AVHRR MetOP sensor

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Cross-adjustment of the L7 ETM+ and EO-1 ALI sensors Chander, G., Meyer, D.J., Helder, D.L., "Cross-Calibration of the Landsat-7 ETM+ and EO-1 ALI sensors," IEEE Transactions on Geoscience and Remote Sensing, vol. 42, No. 12, pp. 2821-2831, Dec, 2004. (Welcomed paper)

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Cross-adjustment of the Terra MODIS, L7 ETM+ and EO-1 ALI sensors Chander, G., Angal, A., Choi, T., Meyer, D. J., Xiong, X., Teillet, P.M., "Cross-adjustment of the Terra MODIS, Landsat-7 ETM+ and EO-1 ALI sensors utilizing close synchronous surface perception over Railroad Valley Playa, Nevada test site," in Proc. SPIE Int. Symp. , Vol 6677, 6677-34, San Diego, CA, 2007. Meyer, D.J., Chander, G., "Cross-alignment of MODIS with ETM+ and ALI sensors for long haul checking of land surface procedures," in Proc. SPIE Int. Symp., Vol 6296, 62960H, San Diego, CA, 2006.

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Cross-alignment of the L7 ETM+, L5 TM and IRS-P6 AWiFS/LISS-III sensors Chander, G., Coan, M.J., Scaramuzza, P.L., "Assessment and Comparison of the IRS-P6 and the Landsat Sensors," IEEE Transactions on Geoscience and Remote Sensing. (acknowledged) Chander, G., Scaramuzza, P.L., "Cross Calibration of the Landsat-7 ETM+ and Landsat-5 TM with the ResurceSat-1 (IRS-P6) AWiFS and LISS-III Sensors," in Proc. SPIE Int. Symp., Vol. 6407, 64070E, Goa, 2006.

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Cross-alignment of the L7 ETM+, L5 TM and CBERS-2 CCD sensors Chander, G., "A review of the CBERS-2 satellite and correlation of the CBERS-2 CCD information with the L5 TM information," in Proc. JACIE, 2006.

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Landsat Data Gap Study Team "The Study Team surveyed the fundamental attributes of different frameworks and recognized sensors on board the China/Brazil Earth Resources Satellite (CBERS-2), and the Indian Remote Sensing (IRS-P6) ResourceSat-1 satellite as the most encouraging wellsprings of Landsat-like information." "The information qualities assessed and condensed by the Data Characterization Working Group (DCWG) included: Spectral Characterization Radiometric portrayal Geometric Characterization Spatial Characterization" "The DCWG inferred that preparatory outcomes for IRS-P6 AWiFS and LISS-III or CBERS-2 HRCCD datasets don\'t show any unresolvable issues. The IRS-P6 satellite is a more develop framework and better capable in the close term to give valuable datasets." Full subtle elements of this work can be found in: LANDSAT DATA GAP STUDY Technical Report Initial Data Characterization, Science Utility and Mission Capability Evaluation of Candidate Landsat Mission Data Gap Sensors Version 1.0 January 31, 2007 Currently situated at http://calval.cr.usgs.gov/archives/LDGST_Technical_Report6.pdf

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ResourceSat-1 (IRS-P6) Overview The IRS-P6 satellite was propelled into a polar sun-synchronous circle on Oct. 17, 2003, with a plan life of 5 years IRS-P6 conveys three sensors High Resolution Linear Imaging Self-Scanner (LISS-IV) Medium Resolution Linear Imaging Self-Scanner (LISS-III) Advanced Wide Field Sensor (AWiFS) All three sensors are "Pushbroom" scanners utilizing direct varieties of CCDs IRS-P6 additionally conveys a locally available SSR with a limit of 120 GB

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Header File Information (Lmax & Lmin) LISS-IV Mono Band 3: Onboard increase number for band 3 ......................... 3 Minimum/greatest brilliance for band 3 [mw/cm2/str/um] ... 0.00000 9.92230 LISS-III: Onboard increase number for band 2 ......................... 3 Onboard increase number for band 3 ......................... 3 Onboard increase number for band 4 ......................... 3 Onboard increase number for band 5 ......................... 2 Minimum/greatest brilliance for band 2 [mw/cm2/str/um] ... 0.00000 12.06400 Minimum/most extreme brilliance for band 3 [mw/cm2/str/um] ... 0.00000 15.13100 Minimum/most extreme brilliance for band 4 [mw/cm2/str/um] ... 0.00000 15.75700 Minimum/most extreme brilliance for band 5 [mw/cm2/str/um] ... 0.00000 3.39700 AWiFS-A camera (A&C quadrant scenes): Onboard increase number for band 2 ......................... 8 Onboard increase number for band 3 ......................... 9 Onboard increase number for band 4 ......................... 8 Onboard increase number for band 5 ......................... 9 Minimum/most extreme brilliance for band 2 [mw/cm2/str/um] ... 0.00000 52.34000 Minimum/most extreme brilliance for band 3 [mw/cm2/str/um] ... 0.00000 40.75000 Minimum/most extreme brilliance for band 4 [mw/cm2/str/um] ... 0.00000 28.42500 Minimum/most extreme brilliance for band 5 [mw/cm2/str/um] ... 0.00000 4.64500 AWiFS-B camera (B&D quadrant scenes): Onboard increase number for band

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