Onboard Blackbody Calibration Algorithm of Chinese FY-2 Geostationary Imager Based on GSICS Reference Radiances
|
|
- Marylou Cross
- 5 years ago
- Views:
Transcription
1 Onboard Blackbody Calibration Algorithm of Chinese FY-2 Geostationary Imager Based on GSICS Reference Radiances Xiuqing (Scott) Hu 1,4, Likun Wang 2, Fuzhong Weng 3, and Na Xu 4 1. ERT@NOAA/NESDIS/STAR, Camp Spring, MD, USA; Xiuqing.Hu@noaa.gov 2.UMD/ESSIC/CICS, College Park, MD, USA 3.NOAA/NESDIS/STAR, Camp Spring, MD, USA 4.CMA/NSMC, Beijing, China 1
2 Outlines Motivation: Demonstration of inter-calibration using AIRS, IASI, and CrIS can help for improving calibration of Chinese meteorological operational satellites under the Global Spacebased Inter-Calibration System (GSICS). Content Calibration challenge for Chinese FY-2 geostationary imager Inter-calibration under GSICS framework Onboard Calibration Algorithm using GSICS calibration Conclusion 2
3 On-Orbit Satellites FY-3A FY-1D FY-2F 112 FY-3B FY-2D 86.5 FY-2E 105 FY-2C
4 Instrument Specification of S-VISSR of FY-2 series Specification/spacecraft FY-2(01)-FY-2A/2B FY-2(02)-FY-2C/2D/2E FY-2(03)-FY-2F/2G/2H Bands( m) IFGOV (µrad) Spatial Resolutio n (km) Dynamic Range Data Quantizat ion Visible IR thermal IR11: IR12: IR11: IR12: Midium-IR NO IR Water vapor Visible IR (all 4 bands) visible IR(all 4 bands) Visible (Reflectance) 0-98% 0-98% 0-98% IR (TB) K 180K-330K 180K-330K Midium-IR(TB) NO 180K-340K 180K-340K Water vapor (TB) K 190K-300K 190K-300K Visible 6bits 6bits 6bits IR (all 4 bands) 8bits 10bits 10bits
5 Instrument Improvement of FY-2F/2G/2H -- Stray light and SRF
6 Challenges for FY-2 Imager calibration Just like the first generation of spin-scan radiometer. There are two optical paths in FY-2 satellites: HgCdTe detectors Filters Second relay lens Primary relay lens 1. earth and space view signal go through the fore- and aftoptics to reach the detectors; 2. Signals from onboard blackbody go through the caland aft-optics to reach the detectors. So there is no full-optics onboard blackbody calibration Visible calibrator space Secondary mirror earth aft-optics Calibration plane mirror Separate lens fore-optics cal-optics Calibration lens Blackbody Silicon optical detectors Transition mirror O Primary mirror blackbody
7 Calibration challenge? Calibration line CT_BB Blackbody counts Space clamp point? R(Tb) Blackbody radiances 7
8 Why so difficult? Deep Space CT_sp = (R_fore + R_aft + R_space) *Gain Earth if treated as R(T) CT_e= (R_fore + R_aft + R_e) *Gain Blackbody CT_bb = (R_aft + R_bb ) * Gain When Space clamp CT_sp=1023 CT_e - CT_sp = R_e * Gain CT_bb CT_sp =(R_bb R_fore) *Gain Note that: R_bb=e*R(T) + (1-e)*R_Cal Courtesy of Image from EUMETSAT report EUM/OPS-MSG/TEN/03/0064 8
9 FY-2 IR Calibration Milestones Before 2005: Earlier FY-2A/2B IR calibration based on Vicarious Calibration using Qinghai Lake and had no real time or near real time operational cal. Early sensor worked unstably and has heavy stray light and didn t have good geolocation. After 2005: FY-2C can work stably and VISSR IR operational calibration based on intercalibration using AVHRR and HIRS since FY-2D/2E also continues this kind of operational model since they begun to work operationally. After 2009: FY-2C/2D GSICS IR calibration experiment using the AIRS and IASI since Oct., After 2011: FY-2D/2E operational calibration monitoring test using GSICS IR calibration since May, FY-2E GSICS GEO-LEO IASI results has become the operational input of L1 calibration LUT to replace AVHRR/HIRS since Jan 12, After 2012: FY-2F/2G/2H completely operational calibration based on GSICS calibration using AIRS/IASI or CrIS and diurnally adjustment using half-optical BB calibration model. On-going work: Development of onboard half-optical BB calibration model based on GSICS reference standard. Retrospectively: Recalibration for FY-2C/2D/2E is conducted based inter-calibration using AIRS and IASI.
10 GSICS calibration for FY-2D/2E The slope derived from GSICS inter-calibration shows strong periodical cycle. So what controls the instrument slope?
11 What control slope (gain)? Self-emission An infrared detector detects and converts the thermal energy into an electrical signal Target Detector temperature Determines the efficiency of the detector in response to coming radiation This is why the detector temperature must be well controlled for IR sensors From Cao et al Instrument self-emission For the HgCdTe detector that has a nonlinear response, the significant increase in the radiation reaching the detector causes the response to shift to a different portion on the nonlinear response curve, which has a different gain (becomes less responsive at higher temperatures) 11
12 Self-emission push the slope Self-emission Target Calibration relationship Slope time series Cao et al. 2007; Mittaz and Harris,
13 Prelaunch test (FY-E IR Ch2) The pre-launch tests have been performed by changing the temperature of optical parts to check how the calibration slope changes 13
14 Slope vs. Temperature of optical parts Detector temp: 93.6 K Detector temp: K Detector temperature control the slope 14
15 Slope vs. Temperature of optical parts Cal. & Relay Primary 2 nd The temperature of aft-optics control the slope! Not the fore optics! 15
16 FY-2E Telemetry data (1) HgCdTe detectors Detector Temp. Filters Second relay lens Primary relay lens Calibration lens Blackbody Blackbody temperature Calibration plane mirror Separate lens Silicon optical detectors Visible calibrator Transition mirror Secondary mirror O Primary mirror 1. Detector and BB temperatures were well controlled. 2. Aft-optics temperature varied periodically 3. Temperature of relay and calibration lens are highly correlated. 16
17 GSICS derived Calibration Coeff. Relay Temp. Slope Intercept Note that the ct =1023-ct The slope are highly correlated with temperature of aft-optics 17
18 Proposed on-board calibration algorithms AIRS IASI FY Ob. CrIS GSICS X-Cal. Cal. Coeff. Self-emission Real-time Telemetry Data OBC counts Self. Emission Model Real-time Calibration Coeff. 18
19 Relationship of Slope and Self-emission Day time data Night time data 19
20 Calculated Slopes Trend Seasonal Cycle Diurnal Cycle 20
21 Conclusion Hyperspectral radiances with good radiometric and spectral calibration is very helpful to improve operational calibration of Chinese satellites. Using GSICS inter-calibration results as a reference combined with diurnally adjustment using half-optical BB calibration model further improve the data quality of Chinese satellites 21
Reprocessing of Suomi NPP CrIS SDR and Impacts on Radiometric and Spectral Long-term Accuracy and Stability
Reprocessing of Suomi NPP CrIS SDR and Impacts on Radiometric and Spectral Long-term Accuracy and Stability Yong Chen *1, Likun Wang 1, Denis Tremblay 2, and Changyong Cao 3 1.* University of Maryland,
More informationSuomi NPP CrIS Reprocessed SDR Long-term Accuracy and Stability
Suomi NPP CrIS Reprocessed SDR Long-term Accuracy and Stability Yong Chen 1, Yong Han, Likun Wang 1, Fuzhong Weng, Ninghai Sun, and Wanchun Chen 1 CICS-MD, ESSIC, University of Maryland, College Park,
More informationS-NPP CrIS Full Resolution Sensor Data Record Processing and Evaluations
S-NPP CrIS Full Resolution Sensor Data Record Processing and Evaluations Yong Chen 1* Yong Han 2, Likun Wang 1, Denis Tremblay 3, Xin Jin 4, and Fuzhong Weng 2 1 ESSIC, University of Maryland, College
More informationCrIS Full Spectral Resolution SDR and S-NPP/JPSS-1 CrIS Performance Status
CrIS Full Spectral Resolution SDR and S-NPP/JPSS-1 CrIS Performance Status Yong Han NOAA Center for Satellite Applications and Research, College Park, MD, USA and CrIS SDR Science Team ITSC-0 October 7
More informationPreliminary validation of Himawari-8/AHI navigation and calibration
Preliminary validation of Himawari-8/AHI navigation and calibration Arata Okuyama 1, Akiyoshi Andou 1, Kenji Date 1, Nobutaka Mori 1, Hidehiko Murata 1, Tasuku Tabata 1, Masaya Takahashi 1, Ryoko Yoshino
More informationVIIRS Radiance Cluster Analysis under CrIS Field of Views
VIIRS Radiance Cluster Analysis under CrIS Field of Views Likun Wang, Yong Chen, Denis Tremblay, Yong Han ESSIC/Univ. of Maryland, College Park, MD; wlikun@umd.edu Acknowledgment CrIS SDR Team 2016 CICS
More informationEvaluation of Different Calibration Approaches for JPSS CrIS
Evaluation of Different Calibration Approaches for JPSS CrIS Yong Chen 1, and Yong Han Acknowledgement: CrIS SDR science team for the development and improvement of J1 CrIS SDR algorithm 1 CICS-MD, ESSIC,
More information7.1 Advanced Himawari Imager (AHI) Design and Operational Flexibility Dr. Paul C. Griffith
7.1 Advanced Himawari Imager (AHI) Design and Operational Flexibility Dr. Paul C. Griffith 12th Annual Symposium on New Generation Operational Environmental Satellite Systems This document is not export
More informationAbsolute Calibration Correction Coefficients of GOES Imager Visible Channel: DCC Reference Reflectance with Aqua MODIS C6 Data
Absolute Calibration Correction Coefficients of GOES Imager Visible Channel: DCC Reference Reflectance with Aqua MODIS C6 Data Fangfang Yu and Xiangqian Wu 01/08/2014 1 Outlines DCC reference reflectance
More informationOn Differences in Effective and Spectral Radiance MSG Level 1.5 Image Products
On Differences in Effective and Spectral Radiance MSG Level EUMETSAT Doc.No. : EUM/OPS-MSG/TEN/8/161 Am Kavalleriesand 31, D-64295 Darmstadt, Germany Tel: +49 6151 87-7 Issue : v1 Fax: +49 6151 87 555
More informationThe IASI Instrument. on the assimilation of IASI in NWP Reading, May 6-8, ECMWF / NWP-SAF Workshop ! "# $ !" #$%& #$!$$
The IASI Instrument ECMWF / NWP-SAF Workshop on the assimilation of IASI in NWP Reading, May 6-8, 2009! "# $!" #$%& #$!$$ '($$)$$ Outline 1. Introduction 2. Functional Behaviour & Availability 3. Radiometric
More informationAssessments of MODIS On-orbit Spatial and Spectral Characterization
EOS Assessments of MODIS On-orbit Spatial and Spectral Characterization Jack Xiong, Dan Link, Kevin Twedt, and Ben Wang NASA GSFC, Greenbelt, MD 0, USA SSAI, 00 Greenbelt Road, Lanham, MD 00, USA Acknowledgements
More informationCombining Ray matching (SNO) with Invariant Target Methods for GSICS GEO LEO Inter Calibration
Combining Ray matching (SNO) with Invariant Target Methods for GSICS GEO LEO Inter Calibration Tim Hewison 1, Dave Doelling 2, Marianne König 1, Yves Govaerts 1, Xiangqian Wu 3, B.J. Sohn 4, Seung Hee
More informationMulti-sensors vicarious calibration activities at CNES
Multi-sensors vicarious calibration activities at CNES Patrice Henry, Bertrand Fougnie June 11, 2013 CNES background in image quality monitoring of operational Earth observation systems Since the launch
More information11.2 ABI s Unique Calibration and Validation Capabilities
The Advanced Baseline Imager (ABI) is a NOAA funded, NASA administered meteorological instrument program. This document does not reflect the views or policy of the GOES-R Program Office. 11.2 ABI s Unique
More informationModeling of the ageing effects on Meteosat First Generation Visible Band
on on Meteosat First Generation Visible Band Ilse Decoster, N. Clerbaux, J. Cornelis, P.-J. Baeck, E. Baudrez, S. Dewitte, A. Ipe, S. Nevens, K. J. Priestley, A. Velazquez Royal Meteorological Institute
More informationThe NIR- and SWIR-based On-orbit Vicarious Calibrations for VIIRS
The NIR- and SWIR-based On-orbit Vicarious Calibrations for VIIRS Menghua Wang NOAA/NESDIS/STAR E/RA3, Room 3228, 5830 University Research Ct. College Park, MD 20746, USA Menghua.Wang@noaa.gov Workshop
More informationGSICS Coordination Center Update GSICS Executive Panel Meeting 12. Fuzhong Weng and Fangfang Yu GSICS Coordination Center
GSICS Coordination Center Update GSICS Executive Panel Meeting 12 Fuzhong Weng and Fangfang Yu GSICS Coordination Center Staff change in GCC team Outline GCC Progress Since April 2011 o Support to the
More informationCreating Situational Awareness with Spacecraft Data Trending and Monitoring
Creating Situational Awareness with Spacecraft Data Trending and Monitoring Zhenping Li ASRC Technical Services, Zhenping.Li@asrcfederal.com J.P. Douglas, and Ken Mitchell ASRC Technical Services, JPaul.Douglas@noaa.gov
More informationMonitoring of IR Clear-sky Radiances over Oceans for SST (MICROS) for Himawari-8 AHI
NOAA Cooperative Research Program (CoRP), 11 th Annual Science Symposium 16-17 September 2015, UMD, College Park, USA Monitoring of IR Clear-sky Radiances over Oceans for SST (MICROS) for Himawari-8 AHI
More informationComparison of Full-resolution S-NPP CrIS Radiance with Radiative Transfer Model
Comparison of Full-resolution S-NPP CrIS Radiance with Radiative Transfer Model Xu Liu NASA Langley Research Center W. Wu, S. Kizer, H. Li, D. K. Zhou, and A. M. Larar Acknowledgements Yong Han NOAA STAR
More informationThe Evolution of Thermal Imaging Cameras
170 Years of Continued Innovation The Evolution of Thermal Imaging Cameras The World s Finest Manufacturers of Temperature, Pressure & Humidity, Test and Calibration Instruments t May, 2007 What is a Thermal
More informationIASI on MetOp-B Radiometric Calibration
IASI on MetOp-B Radiometric Calibration V. Lonjou 1, E. Péquignot 1, L. Buffet 1, J. Chinaud 1, S. Gaugain 1, E. Jacquette 1, D. Jouglet 1, C. Larigauderie 1, C. Villaret 1, J. Donnadille 2, B. Tournier
More informationSentinel-2 Calibration and Validation : from the Instrument to Level 2 Products
Sentinel-2 Calibration and Validation : from the Instrument to Level 2 Products Vincent Lonjou a, Thierry Tremas a, Sophie Lachérade a, Cécile Dechoz a, Florie Languille a, Aimé Meygret a, Olivier Hagolle
More informationCAL/VAL JAXA Agency Report
CEOS WGCV-41 (Sep 5-7) Working Group on Calibration & Validation CAL/VAL JAXA Agency Report 16:00- September 2016 100th Anniversary Hall at Senju Campus Tokyo Denki Univ. JAXA s earth observing instruments
More informationImprovements to Ozone Mapping Profiler Suite (OMPS) Sensor Data Record (SDR)
Improvements to Ozone Mapping Profiler Suite (OMPS) Sensor Data Record (SDR) *C. Pan 1, F. Weng 2, T. Beck 2 and S. Ding 3 * 1 ESSIC, University of Maryland, College Park, MD 20740; 2 NOAA NESDIS/STAR,
More informationPrototyping GOES-R Albedo Algorithm Based on MODIS Data Tao He a, Shunlin Liang a, Dongdong Wang a
Prototyping GOES-R Albedo Algorithm Based on MODIS Data Tao He a, Shunlin Liang a, Dongdong Wang a a. Department of Geography, University of Maryland, College Park, USA Hongyi Wu b b. University of Electronic
More informationHow GOSAT has provided uniform-quality spectra and optimized global sampling patterns for seven years
IWGGMS -12 Session II: SWIR Spectroscopy & Retrieval Algorithms How GOSAT has provided uniform-quality spectra and optimized global sampling patterns for seven years June 7, 2016, Kyoto Akihiko KUZE, Kei
More informationMenghua Wang NOAA/NESDIS/STAR Camp Springs, MD 20746, USA
Ocean EDR Product Calibration and Validation Plan Progress Report: VIIRS Ocean Color Algorithm Evaluations and Data Processing and Analyses Define a VIIRS Proxy Data Stream Define the required in situ
More informationTES Algorithm Status. Helen Worden
TES Algorithm Status Helen Worden helen.m.worden@jpl.nasa.gov Outline TES Instrument System Testing Algorithm updates One Day Test (ODT) 2 TES System Testing TV3-TV19: Interferometer-only thermal vacuum
More informationCARBON NANOTUBE FLAT PLATE BLACKBODY CALIBRATOR. John C. Fleming
CARBON NANOTUBE FLAT PLATE BLACKBODY CALIBRATOR John C. Fleming Ball Aerospace, jfleming@ball.com Sandra Collins, Beth Kelsic, Nathan Schwartz, David Osterman, Bevan Staple Ball Aerospace, scollins@ball.com
More informationMeteosat Third Generation (MTG) Lightning Imager (LI) instrument performance and calibration from user perspective
Meteosat Third Generation (MTG) Lightning Imager (LI) instrument performance and calibration from user perspective Marcel Dobber, Jochen Grandell EUMETSAT (Darmstadt, Germany) 1 Meteosat Third Generation
More informationNavigation for Future Space Exploration Missions Based on Imaging LiDAR Technologies. Alexandre Pollini Amsterdam,
Navigation for Future Space Exploration Missions Based on Imaging LiDAR Technologies Alexandre Pollini Amsterdam, 12.11.2013 Presentation outline The needs: missions scenario Current benchmark in space
More informationDr. Larry J. Paxton Johns Hopkins University Applied Physics Laboratory Laurel, MD (301) (301) fax
Dr. Larry J. Paxton Johns Hopkins University Applied Physics Laboratory Laurel, MD 20723 (301) 953-6871 (301) 953-6670 fax Understand the instrument. Be able to convert measured counts/pixel on-orbit into
More informationUpdates on Operational Processing of ATMS TDR and SDR Products
Updates on Operational Processing of ATMS TDR and SDR Products Fuzhong Weng Satellite Meteorology and Climatology Division Center for Satellite Applications and Research National Environmental Satellites,
More informationPICSCAR Status Radiometric Calibration Workshop for European Missions
PICSCAR-PPT-022-MAG PUTTING KNOWLEDGE ON THE MAP PICSCAR Status Radiometric Calibration Workshop for European Missions Béatrice Berthelot (Magellium) Patrice Henry (CNES) 1 Characterisation of PICS PICS
More informationIASI spectral calibration monitoring on MetOp-A and MetOp-B
IASI spectral calibration monitoring on MetOp-A and MetOp-B E. Jacquette (1), B. Tournier (2), E. Péquignot (1), J. Donnadille (2), D. Jouglet (1), V. Lonjou (1), J. Chinaud (1), C. Baque (3), L. Buffet
More informationAlgorithm Theoretical Basis Document (ATBD) for ray-matching technique of calibrating GEO sensors with Aqua-MODIS for GSICS.
Algorithm Theoretical Basis Document (ATBD) for ray-matching technique of calibrating GEO sensors with Aqua-MODIS for GSICS David Doelling 1, Rajendra Bhatt 2, Dan Morstad 2, Benjamin Scarino 2 1 NASA-
More informationInfrared Scene Simulation for Chemical Standoff Detection System Evaluation
Infrared Scene Simulation for Chemical Standoff Detection System Evaluation Peter Mantica, Chris Lietzke, Jer Zimmermann ITT Industries, Advanced Engineering and Sciences Division Fort Wayne, Indiana Fran
More informationMTG-FCI: ATBD for Outgoing Longwave Radiation Product
MTG-FCI: ATBD for Outgoing Longwave Radiation Product Doc.No. Issue : : EUM/MTG/DOC/10/0527 v2 EUMETSAT Eumetsat-Allee 1, D-64295 Darmstadt, Germany Tel: +49 6151 807-7 Fax: +49 6151 807 555 Date : 14
More informationMTG-FCI: ATBD for Clear Sky Reflectance Map Product
MTG-FCI: ATBD for Clear Sky Reflectance Map Product Doc.No. Issue : : v2 EUMETSAT Eumetsat-Allee 1, D-64295 Darmstadt, Germany Tel: +49 6151 807-7 Fax: +49 6151 807 555 Date : 14 January 2013 http://www.eumetsat.int
More informationRADIOMETRIC CROSS-CALIBRATION OF GAOFEN-1 WFV CAMERAS WITH LANDSAT-8 OLI AND MODIS SENSORS BASED ON RADIATION AND GEOMETRY MATCHING
RADIOMETRIC CROSS-CALIBRATION OF GAOFEN-1 WFV CAMERAS WITH LANDSAT-8 OLI AND MODIS SENSORS BASED ON RADIATION AND GEOMETRY MATCHING Li Junping 1, Wu Zhaocong 2, Wei xin 1, Zhang Yi 2, Feng Fajie 1, Guo
More informationENMAP RADIOMETRIC INFLIGHT CALIBRATION
ENMAP RADIOMETRIC INFLIGHT CALIBRATION Harald Krawczyk 1, Birgit Gerasch 1, Thomas Walzel 1, Tobias Storch 1, Rupert Müller 1, Bernhard Sang 2, Christian Chlebek 3 1 Earth Observation Center (EOC), German
More informationAlgorithm Theoretical Basis Document (ATBD) for Deep Convective Cloud (DCC) technique of calibrating GEO sensors with Aqua-MODIS for GSICS
Algorithm Theoretical Basis Document (ATBD) for Deep Convective Cloud (DCC) technique of calibrating GEO sensors with Aqua-MODIS for GSICS David Doelling 1, Dan Morstad 2,Rajendra Bhatt 2, Benjamin Scarino
More informationOn-orbit Calibration of the Geostationary Imaging Fourier Transform Spectrometer (GIFTS)
On-orbit Calibration of the Geostationary Imaging Fourier Transform Spectrometer (GIFTS) H. E. Revercomb a, F. A. Best a, D. C. Tobin a, R. O. Knuteson a, R. K. Garcia a, D. D. LaPorte a, G. E. Bingham
More informationTracePro Stray Light Simulation
TracePro Stray Light Simulation What Is Stray Light? A more descriptive term for stray light is unwanted light. In an optical imaging system, stray light is caused by light from a bright source shining
More informationCrIS SDR Calibration and Cross-sensor Comparisons
CrIS SDR Calibration and Cross-sensor Comparisons Yong Han NOAA Center for Satellite Applications and Research, College Park, MD, USA and CrIS SDR Science Team ITSC-19 March 25 April 1, 2014 Jeju Island,
More informationTOA RADIANCE SIMULATOR FOR THE NEW HYPERSPECTRAL MISSIONS: STORE (SIMULATOR OF TOA RADIANCE)
TOA RADIANCE SIMULATOR FOR THE NEW HYPERSPECTRAL MISSIONS: STORE (SIMULATOR OF TOA RADIANCE) Malvina Silvestri Istituto Nazionale di Geofisica e Vulcanologia In the frame of the Italian Space Agency (ASI)
More informationApplications of passive remote sensing using emission: Remote sensing of sea surface temperature (SST)
Lecture 5 Applications of passive remote sensing using emission: Remote sensing of sea face temperature SS Objectives:. SS retrievals from passive infrared remote sensing.. Microwave vs. R SS retrievals.
More informationIce Cover and Sea and Lake Ice Concentration with GOES-R ABI
GOES-R AWG Cryosphere Team Ice Cover and Sea and Lake Ice Concentration with GOES-R ABI Presented by Yinghui Liu 1 Team Members: Yinghui Liu 1, Jeffrey R Key 2, and Xuanji Wang 1 1 UW-Madison CIMSS 2 NOAA/NESDIS/STAR
More information2.1 RADIATIVE TRANSFER AND SURFACE PROPERTY MODELLING Web site:
2.1 RADIATIVE TRANSFER AND SURFACE PROPERTY MODELLING Web site: http://cimss.ssec.wisc.edu/itwg/groups/rtwg/rtwg.html Working Group Members: Louis Garand (Co-Chair), Paul van Delst (Co-Chair), Stuart Newman,
More informationKohei Arai 1 Graduate School of Science and Engineering Saga University Saga City, Japan
Sensitivity Analysis and Error Analysis of Reflectance Based Vicarious Calibration with Estimated Aerosol Refractive Index and Size Distribution Derived from Measured Solar Direct and Diffuse Irradiance
More informationChallenges in data compression for current and future imagers and hyperspectral sounders
Challenges in data compression for current and future imagers and hyperspectral sounders Nigel Atkinson (Met Office) ITSC-19, Jeju, 28 March 2014 or How to store your satellite data without needing too
More informationSimulation of Brightness Temperatures for the Microwave Radiometer (MWR) on the Aquarius/SAC-D Mission. Salman S. Khan M.S. Defense 8 th July, 2009
Simulation of Brightness Temperatures for the Microwave Radiometer (MWR) on the Aquarius/SAC-D Mission Salman S. Khan M.S. Defense 8 th July, 2009 Outline Thesis Objective Aquarius Salinity Measurements
More informationASTER User s Guide. ERSDAC Earth Remote Sensing Data Analysis Center. 3D Ortho Product (L3A01) Part III. (Ver.1.1) July, 2004
ASTER User s Guide Part III 3D Ortho Product (L3A01) (Ver.1.1) July, 2004 ERSDAC Earth Remote Sensing Data Analysis Center ASTER User s Guide Part III 3D Ortho Product (L3A01) (Ver.1.1) TABLE OF CONTENTS
More informationMHS Instrument Pre-Launch Characteristics
MHS Instrument Pre-Launch Characteristics Jörg Ackermann, EUMETSAT, October 2017 The main objective of satellite instruments pre-launch characterisation is to ensure that the observed instrument performance
More informationAtmospheric correction of hyperspectral ocean color sensors: application to HICO
Atmospheric correction of hyperspectral ocean color sensors: application to HICO Amir Ibrahim NASA GSFC / USRA Bryan Franz, Zia Ahmad, Kirk knobelspiesse (NASA GSFC), and Bo-Cai Gao (NRL) Remote sensing
More informationUAV-based Remote Sensing Payload Comprehensive Validation System
36th CEOS Working Group on Calibration and Validation Plenary May 13-17, 2013 at Shanghai, China UAV-based Remote Sensing Payload Comprehensive Validation System Chuan-rong LI Project PI www.aoe.cas.cn
More informationMERIS Instrument Status
MERIS Instrument Status presented by Stefan Weiß Photo: Courtesy Alcatel Space Industries Page 1 MERIS Instrument Status Functional Description & Hardware overview Functional check-out & Operations Telemetry
More informationCRISM (Compact Reconnaissance Imaging Spectrometer for Mars) on MRO. Calibration Upgrade, version 2 to 3
CRISM (Compact Reconnaissance Imaging Spectrometer for Mars) on MRO Calibration Upgrade, version 2 to 3 Dave Humm Applied Physics Laboratory, Laurel, MD 20723 18 March 2012 1 Calibration Overview 2 Simplified
More informationTEMPO & GOES-R synergy update and! GEO-TASO aerosol retrieval!
TEMPO & GOES-R synergy update and! GEO-TASO aerosol retrieval! Jun Wang! Xiaoguang Xu, Shouguo Ding, Weizhen Hou! University of Nebraska-Lincoln!! Robert Spurr! RT solutions!! Xiong Liu, Kelly Chance!
More informationHyperspectral Infrared Measurements Simulation and Collection for GOES-R Sounder Lossless and Lossy Data Compression Study and Beyond
Hyperspectral Infrared Measurements Simulation and Collection for GOES-R Sounder Lossless and Lossy Data Compression Study and Beyond HUNG-LUNG HUANG, BORMIN HUANG, KEVIN BAGGETT, ALOK AHUJA Cooperative
More informationIMAGING AND FIELD SPECTROMETER DATA S ROLE IN CALIBRATING CLIMATE-QUALITE SENSORS Kurtis, J. Thome NASA/GSFC Greenbelt, MD
IMAGING AND FIELD SPECTROMETER DATA S ROLE IN CALIBRATING CLIMATE-QUALITE SENSORS Kurtis, J. Thome NASA/GSFC Greenbelt, MD Abstract The role of hyperspectral data and imaging spectrometry in the calibration
More informationSST Retrieval Methods in the ESA Climate Change Initiative
ESA Climate Change Initiative Phase-II Sea Surface Temperature (SST) www.esa-sst-cci.org SST Retrieval Methods in the ESA Climate Change Initiative Owen Embury Climate Change Initiative ESA Climate Change
More informationFalcon Sensor Image Generator Toolkit
Sensor Image Generator Toolkit Falcon is the complete set of tools and libraries needed to quickly transform an existing out-the-window (OTW) visual simulation into a correlated, high-fidelity, electro-optical
More informationUV Remote Sensing of Volcanic Ash
UV Remote Sensing of Volcanic Ash Kai Yang University of Maryland College Park WMO Inter-comparison of Satellite-based Volcanic Ash Retrieval Algorithms Workshop June 26 July 2, 2015, Madison, Wisconsin
More informationA new method for cross-calibration of two satellite sensors
INT. J. REMOTE SENSING, 10 DECEMBER, 2004, VOL. 25, NO. 23, 5267 5281 A new method for cross-calibration of two satellite sensors J.-J. LIU*, Z. LI{ Department of Meteorology and ESSIC, University of Maryland,
More informationCGMS HIGH LEVEL PRIORITY PLAN (HLPP)
CGMS HIGH LEVEL PRIORITY PLAN (HLPP) 2015-2019 1. INTRODUCTION The main goals of the coordination activities of the Coordination Group for Meteorological Satellites are to support operational weather monitoring
More informationIOCCG Calibration Workshop 30 October 2004, Fremantle, Australia. In-Flight Calibration of Satellite Ocean-Color Sensors
IOCCG Calibration Workshop 30 October 2004, Fremantle, Australia In-Flight Calibration of Satellite Ocean-Color Sensors Purpose The purpose of the workshop was to review the calibration of ocean-color
More informationSupplementary materials of Multispectral imaging using a single bucket detector
Supplementary materials of Multispectral imaging using a single bucket detector Liheng Bian 1, Jinli Suo 1,, Guohai Situ 2, Ziwei Li 1, Jingtao Fan 1, Feng Chen 1 and Qionghai Dai 1 1 Department of Automation,
More informationCommissioning Activity Report EUM/MSG/TEN/04/0024
MSG-1/ MSG-1/ Commissioning Activity Report EUM/MSG/TEN/04/0024 Prepared by Y. Govaerts and M. Clerici EUMETSAT Am Kavalleriesand 31, Postfach 10 05 55, D-64205 Darmstadt, Germany Tel: +49 6151 807345
More informationComparison Among Cross, Onboard and Vicarious Calibrations for Terra/ASTER/VNIR
Comparison Among Cross, Onboard and Vicarious Calibrations for Terra/ASTER/VNIR Kohei Arai 1 Graduate School of Science and Engineering Saga University Saga City, Japan Abstract Comparative study on radiometric
More informationLANDSAT 4/5 THEMATIC MAPPER (TM) IMAGE ASSESSMENT SYSTEM (IAS) RADIOMETRIC ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
LS-IAS-03 Department of the Interior U.S. Geological Survey LANDSAT 4/5 THEMATIC MAPPER (TM) IMAGE ASSESSMENT SYSTEM (IAS) RADIOMETRIC ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD) July 2012 LANDSAT 4/5
More informationResults of Cross-comparisons using multiple sites
Results of Cross-comparisons using multiple sites Dave Smith CEOS WGCV IVOS workshop 18-20 Oct 2010 1 Content AATSR Drift Analysis AATSR vs. MERIS comparisons over Deserts Intercomparisons Over Dome-C
More informationNew capabilities of diffuser calibration lab at GSFC NASA to support remote sensing instrumentation
New capabilities of diffuser calibration lab at GSFC NASA to support remote sensing instrumentation Jinan Zeng1, Jim Butler2, and Jack Xiong2 1Fibertek Incorporation, 13605 Dulles Technology Dr., Herndon,
More informationEUMETSAT response on ET SAT Action 5.1
EUMETSAT response on ET SAT Action 5.1 Contents 1 Background... 1 2 Requirements for hosting the RRR database and related DOORS capabilities... 2 3 Tentative data model for the GOS Dossier... 3 3.1 GOS
More informationDirect Broadcast Software Packages ITWG Technical Subgroup Report on Issues Arising from ITSC-18. ITSC-19 Jeju Island, March 2014 Liam Gumley
Direct Broadcast Software Packages ITWG Technical Subgroup Report on Issues Arising from ITSC-18 ITSC-19 Jeju Island, March 2014 Liam Gumley Group Charter 1. Discuss issues related to real-time processing
More informationComponent Level Prediction Versus System Level Measurement of SABER Relative Spectral Response
Utah State University DigitalCommons@USU Space Dynamics Lab Publications Space Dynamics Lab 1-1-2003 Component Level Prediction Versus System Level Measurement of SABER Relative Spectral Response S. Hansen
More informationGEOBIA for ArcGIS (presentation) Jacek Urbanski
GEOBIA for ArcGIS (presentation) Jacek Urbanski INTEGRATION OF GEOBIA WITH GIS FOR SEMI-AUTOMATIC LAND COVER MAPPING FROM LANDSAT 8 IMAGERY Presented at 5th GEOBIA conference 21 24 May in Thessaloniki.
More informationSPIcam: an overview. Alan Diercks Institute for Systems Biology 23rd July 2002
SPIcam: an overview Alan Diercks Institute for Systems Biology diercks@systemsbiology.org 23rd July 2002 1 Outline Overview of instrument CCDs mechanics instrument control performance construction anecdotes
More informationCALIBRATION OF VEGETATION CAMERAS ON-BOARD SPOT4
CALIBRATION OF VEGETATION CAMERAS ON-BOARD SPOT4 Patrice Henry, Aimé Meygret CNES (Centre National d'etudes Spatiales) 18 avenue Edouard Belin - 31401 TOULOUSE CEDEX 4 - FRANCE Tel: 33 (0)5 61 27 47 12,
More informationLand surface temperature products validation for
FRM4STS International Workshop, National Physical Laboratory, Teddington, UK Land surface temperature products validation for GOES-R and JPSS missions: status and challenge Yuhan Rao 1,2, Yunyue (Bob)
More informationGeoTASO Project Summary and Relevance. Jim Leitch Ball Aerospace
GeoTASO Project Summary and Relevance Jim Leitch Ball Aerospace jleitch@ball.com 303-939-5280 4/23/2013 Sensor Concept Overview Airborne nadir-viewing wide-swath imaging spectrometer Two channel spectrometer
More informationA Method Suitable for Vicarious Calibration of a UAV Hyperspectral Remote Sensor
A Method Suitable for Vicarious Calibration of a UAV Hyperspectral Remote Sensor Hao Zhang 1, Haiwei Li 1, Benyong Yang 2, Zhengchao Chen 1 1. Institute of Remote Sensing and Digital Earth (RADI), Chinese
More informationWorking with M 3 Data. Jeff Nettles M 3 Data Tutorial at AGU December 13, 2010
Working with M 3 Data Jeff Nettles M 3 Data Tutorial at AGU December 13, 2010 For Reference Slides and example data from today s workshop available at http://m3dataquest.jpl.nasa.gov See Green et al. (2010)
More informationTELEDYNE GEOSPATIAL SOLUTIONS
GEOSPATIAL SOLUTIONS THE CONTENTS TELEDYNE GEOSPATIAL SOLUTIONS Capability Overview... 4 Hosted Payloads... 6 Payload Operations as a Service... 8 TCloud Data Management... 10 Imagery Sales... 12 About
More informationVIIRS-CrIS Mapping. P. Brunel, P. Roquet. Météo-France, Lannion. CSPP/IMAPP USERS GROUP MEETING 2015 EUMETSAT Darmstadt, Germany
VIIRS-CrIS Mapping P. Brunel, P. Roquet Météo-France, Lannion CSPP/IMAPP USERS GROUP MEETING 2015 EUMETSAT Darmstadt, Germany Introduction Mapping? Why? Mapping sounder and imager is of high interest at
More informationThe Image Processing Facility for METEOSAT Second Generation
The Image Processing Facility for METEOSAT Second Generation Dieter Just EUMETSAT, Am Kavalleriesand 31,D- 64295 Darmstadt, Germany Email: just@eumetsat.de Abstract The first METEOSAT Second Generation
More informationSatellite Infrared Radiance Validation Studies using a Multi-Sensor/Model Data Fusion Approach
Satellite Infrared Radiance Validation Studies using a Multi-Sensor/Model Data Fusion Approach Aqua A. Larar a, W. Smith b, D. Zhou a, X. Liu a, and S. Mango c a NASA Langley Research Center, Hampton,
More informationGEOMETRY AND RADIATION QUALITY EVALUATION OF GF-1 AND GF-2 SATELLITE IMAGERY. Yong Xie
Prepared by CNSA Agenda Item: WG.3 GEOMETRY AND RADIATION QUALITY EVALUATION OF GF-1 AND GF-2 SATELLITE IMAGERY Yong Xie Institute of Remote Sensing and Digital Earth, Chinese Academy of Science GF-1 and
More informationCRISM Instrument, Mission, and Data Set Description
CRISM Instrument, Mission, and Data Set Description 22 March 2009 Scott L. Murchie and the CRISM team 1 Topics to be Discussed Instrument characteristics Hardware overview Data configuration and characteristics
More informationMeasurement of the Nonuniformity of First Responder Thermal Imaging Cameras
Measurement of the Nonuniformity of First Responder Thermal Imaging Cameras ANDREW LOCK and FRANCINE AMON Fire Research Division National Institute of Standards and Technology 100 Bureau Drive (Stop 8663)
More informationDriftsonde System Overview
Driftsonde System Overview Zero-pressure Balloon Gondola (24 sonde capacity) 6 hours between drops Terry Hock, Hal Cole, Charlie Martin National Center for Atmospheric Research Earth Observing Lab December
More informationMachine learning approach to retrieving physical variables from remotely sensed data
Machine learning approach to retrieving physical variables from remotely sensed data Fazlul Shahriar November 11, 2016 Introduction There is a growing wealth of remote sensing data from hundreds of space-based
More informationGODDARD SPACE FLIGHT CENTER. Future of cal/val. K. Thome NASA/GSFC
GODDARD SPACE FLIGHT CENTER Future of cal/val K. Thome NASA/GSFC Key issues for cal/val Importance of cal/val continues to increase as models improve and budget pressures go up Better cal/val approaches
More informationThe status of the RTTOV forward model and an assessment of its accuracy using high spectral resolution satellite data Marco Matricardi
The status of the RTTOV forward model and an assessment of its accuracy using high spectral resolution satellite data Marco Matricardi Advanced High Resolution Infrared Observations EUMETSAT Darmstadt,
More informationMTG-FCI: ATBD for Active Fire Monitoring Product
MTG-FCI: ATBD for Active Fire Monitoring Product EUMETSAT Doc.No. : EUM/MTG/DOC/10/0613 Eumetsat-Allee 1, D-64295 Darmstadt, Germany Tel: +49 6151 807-7 Issue : v2 Fax: +49 6151 807 555 Date : 14 January
More informationConverging Remote Sensing and Data Assimilation through Data Fusion
Converging Remote Sensing and Data Assimilation through Data Fusion Benjamin T. Johnson, Ph.D. AER @ NOAA/STAR/JCSDA benjamin.t.johnson@noaa.gov The Team: Sid Boukabara Kevin Garrett Eric Maddy Ling Liu
More informationDESIGN OF INFRARED FOR THE WEST PROJECT
1 st IAEA Technical Meeting on Fusion Data Processing, Validation and Analysis Nice, 1 st -3 rd of June 2015 DESIGN OF INFRARED THERMOGRAPHY DIAGNOSTICS FOR THE WEST PROJECT X. Courtois, MH. Aumeunier,
More informationCalibration Procedures for LI-COR Spectroradiometers, Radiation Sensors & Lamps
Application Note #109 Calibration Procedures for LI-COR Spectroradiometers, Radiation Sensors & Lamps Introduction This report summarizes LI-COR factory calibration procedures for all quantum sensors,
More information