13-16 November 2017, Xi’an, China Peng ZHANG

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Presentation transcript:

Introduction to Chinses Project: Solar Bands Calibration Based on Lunar Radiance Source 13-16 November 2017, Xi’an, China Peng ZHANG National Satellite Meteorological Center, China Meteorological Administration (NSMC/CMA)

Outline Project Background Moon Prediction Ground-based Lunar Observation Lunar Modeling Application to FY satellite Summarization

1. Project Background FY-3A FY-3C Tansat FY-2F 112 FY-4A FY-2E 86.5 FY Program: 8 on the orbit, 5 in operation, 1 in trial operation Joint program: TanSat in commission test FY-3A FY-3C Tansat FY-2F 112 FY-4A 104.5 FY-2E 86.5 FY-2G 105 FY-2D 123.5 FY-3B 2019/1/2

Launched Satellites Before 2000s: emphasizing to develop the satellite 2000 – 2010 : emphasizing the transition from the R&D to the operational satellite After 2010s : emphasizing the calibration and validation for the operational satellite 2019/1/2

Calibration Procedure Observed DN Prelaunch Calibration laboratory test with on board calibration System RT Calibration On-orbit operational calibration On-orbit Performance Monitoring Offline Calibration/ Re-Calibration Validation and Correction with SI-traceable Reference SDR FCDR 11/12/2017

On board Calibration System Accuracy of RT Calibration Status of RT Calibration Spectrum On board Calibration System Instrument Accuracy of RT Calibration UV Solar + diffuser mercury lamp TOU/FY-3 SBUS/FY-3 5% ~ 10% SRB VOC MERSI/FY-3 can’t work Field Calibration per year, 7% Lunar Calibration since FY-3C, 3% ~ 5% halogen tungsten lamp ERM/FY-3 ? absolute radiometers SIM/FY-3 TEB blackbody VISSR/FY-2 VIRR/FY-3 IRAS/FY-3 0.5 ~ 1K 0.5K ~ 1K WM MWTS/FY-3 MWHS/FY-3 MWRI/FY-3 1K ~ 2K 11/12/2017

Joint Project National Astronomical Observatories Of China (NAOC), CAS FY Polar Satellite Program National High Technology Research & Development Program of China (863 program) National Astronomical Observatories Of China (NAOC), CAS National Satellite Meteorological Center (NSMC), CMA Nanjing University Jilin University Changchun Institute of Optics, Fine Mechanics and Physics (CIOMP), CAS Xi'an Institute of Optics and Precision Mechanics (XIOPM), CAS Anhui Institute of Optics and Fine Mechanics (AIOFM), CAS Shanghai Institute of Technical Physics (SITP), CAS 11/12/2017

Key Issues to be involved Grant time: 2015.04 Moon prediction, registration for FY satellite High-precision ground-based lunar observation Lunar Modeling (Irradiance Model + Radiance Model) Radiometric calibration based on reflected lunar light for FY satellite 11/12/2017

2. Moon Prediction Ground-based /Space-based lunar observation Phase angle View angle Lunar prediction (phase angle + geometry condition) based on the NASA JPL SPICE tool and ephemeris, which can be used for ground/space-based lunar observation. Solar incidence angle 11/12/2017

Guiding satellite conducts a lunar observation Lunar image observed by FY-2G on Feb. 7 2015 after changing observation area Guiding satellite conducts a lunar observation Lei Yang (CMA): Moon prediction, registration and navigation for FY satellite Matched Lunar Image 11/12/2017

FY-3C lunar observation mode and data FY-3 visible band calibration FY-3C lunar observation mode and data lunar image observed by different FY-3C/MERSI bands R H Wu (CMA): Lunar data preparation for MERSI/TanSat 11/12/2017

3. Ground-based Lunar Observation Lunar spectral imager Lunar Spectral Imager Specification Spectral range 400-1000nm Spectral channels >260 Spectral sampling width 2-10nm Field of view 0.7 degree Instantaneous Field of view 0.0056 degree Pixels across track 253 11/12/2017

Dunhuang, Gansu Lingshang, Beijing Lijiang, Yunnan Lingshang Experiment(24 June ~ 3 July, 2015) Dunhuang Experiment(20 Aug ~ 3 Sept, 2015) Lijiang Experiment (17 Dec, 2015 ~ 1 March, 2016) Dunhuang, Gansu Lingshang, Beijing Lijiang, Yunnan 11/12/2017

Lingshan, Dunhuang, Lijiang Instrument manufacturer Spectrum Experiment Lunar Lunar Spectral Imager CIOMP 400-1000nm with 2~10nm Lingshan, Dunhuang, Lijiang SITP 450nm~1000nm with 2~8nm Lingshan, Dunhuang XIOPM 900nm~2500nm, 60 channel Lijiang Lunar Spectral Photometer 350-1100nm with 1~5nm Lunar photometer CIMEL 10 channel Dunhuang, Lijiang Atmosphere Lidar 704 532nm; 1064nm CE318 Sun photometer 9通道 Radiosonde VISALA Ref. ASD FieldSpec® 3 ASD 350-2500nm 11/12/2017

Lunar radiance observation experiment at Lijiang, Yunnan high-spectral lunar photometer Lunar imager CE318U Lunar-photometer AOTF imager HSFTS Jade Dragon Snow Mountain Lijiang Radar Station 11/12/2017

Lunar Spectral Imager 400nm-1000nm continuous spectrum lunar image Y. Wang, Y. Huang, S.R. Wang, Z.F Li, Z.H. Zhang, X.Q. Hu, P. Zhang, 2017: Ground-based Observation System Development for the Moon Hyper-spectral Imaging. Publications of the Astronomical Society of the Pacific, 129:055002(13pp). CCD Spectral imager 11/12/2017

Signal comparison between CE318-lunar and lunar imager (1) wavelength (2) time Normalized signals (1)2015.12.23 : 440,500,677,870nm (2)500nm: 2015.12.21,201512.23,2015.12.26, 2016.2.17 consistency stability of lunar observation instruments 11/12/2017

Model validation and Comparison Using ground-based measurement ROLO model——GIRO model Bias between model and measured data by instrument: International: Accuracy: on-orbit 5-10%, ground-based 13% Uncertainty: 1-1.5% Lijiang: Difference: 7-12% Uncertainty: 1-3% Xiuqing Hu (CMA): Ground-based Lunar observation and results in Lijiang, China 11/12/2017

4. Lunar Modeling Data name Type Time range Size Application SP lunar satellite observation data 2007-2009 1.4TB Model development M3 2008-2009 4.8TB CE spectral data 2007-2010 1.3TB FY-3C/MERSI lunar observation data from Earth LEO satellite 2013-2014 500GB Operational calibration MODIS 2000-2004 100GB FY-2 2012-present 1.2TB Apollo soil data lunar soil spectrum - 100M Model Validation Simulated lunar soil data 400GB Ground-base lunar observation data Lunar observation data 2015.12-2016.3 12.5TB Lunar image data Cover 100% lunar surface 800GB Lunar elevation data Cover 100% lunar surface, with resolution=500m and 20m Mineral distribution Simulating lunar spectral data 200GB 11/12/2017

CE-2 full lunar surface DEM within 7m resolution Tycho crater terrain color map Rainbow Bay color map CE-1 DEM within 500m resolution DEM uses a lunar sphere surface based on a reference plane with a radius of 1737.4km. Accuracies of plane position and DEM: 445m (1σ) and 60m (1σ) Cited from NAOC

LUT Target Selection: DEM-STD 20o*20o 10o*10o 4o*4o 2o*2o 1o*1o 11/12/2017

LUT Target Selection: REDF-STD 20o*20o 10o*10o 4o*4o 2o*2o 11/12/2017

Based on DEM and RADF 15ON-25ON 15OW-25OW 15ON-25ON 15OE-25OE 15OS-25OS 15OW-25OW 25OS-35OS 15OW-25OW Based on DEM and RADF 11/12/2017

Model Resolution 10*10 gridded lunar model 752.8nm 512.6nm (a) (b) Lunar albedo (a) simulated results, (b) observed result by imager at Lijiang, Yunnan province at Local time 22:21, Feb 19 of 2016 Lunar diameter=10916 km, 1.0°=10916/360≈30km L. Zhang (CMA): New Lunar model establishment based SELENE/SP observation with incorporated into lunar DEM data 11/12/2017

Calculation the position 5. Application to FY satellite FY-2 visible band calibration Forcast the Moon Event Extract the Moon from the image Calculation the position information ROLO Model Time Period Lunar Events Phase angle from Jan.2010-Otc.2014 130(49 without straylight,81 with straylight) -96.84°~93.48° 11/12/2017

Line Chen(CMA): Lunar data preparation for FY-2 Moon DCC Blue window: Lunar and DCC are consistent during this period Red window: Lunar and DCC are not consistent Line Chen(CMA): Lunar data preparation for FY-2 11/12/2017

FY-3 visible band calibration MERSI trend of Lunar irradiance band ratio 11/12/2017

band Monomial coef zeroth order coef F test significance level Degradation/year/% 1 -6.56E-05 9.28E-01 0.00230 2.58 2 1.44E-05 1.02E+00 0.15822 -0.51 3 ---- 4 2.15E-06 7.62E-01 0.88208 -0.1 6 -5.08E-05 3.93E-01 0.00223 4.72 7 -9.16E-06 1.60E-01 0.24369 2.09 8 -2.55E-04 6.40E-01 0.00000 14.55 9 -1.80E-04 7.82E-01 0.00009 8.42 10 -9.40E-05 9.59E-01 0.00057 3.58 11 -4.16E-05 9.33E-01 0.03141 1.63 12 -2.38E-06 0.93479 0.09 13 -1.00E-05 9.63E-01 0.45506 0.38 14 -1.60E-05 9.34E-01 0.40373 0.63 15 -1.09E-05 8.64E-01 0.44799 0.46 16 -6.73E-05 7.03E-01 0.03354 3.49 17 2.29E-05 5.99E-01 0.16314 -1.4 18 -1.74E-05 6.34E-01 0.71147 19 -1.65E-05 5.23E-01 0.00784 1.15 20 -1.04E-05 3.97E-01 0.52340 0.96 图9 深对流云方法针对通道6和通道7的跟踪结果 Fig. 9 results of Band 6 and 7 by DCC method Wu R H, Zhang P, Yang Z D, Hu X Q, Ding L and Chen L. 2016. Monitor radiance calibration of the remote sensing instrument with reflected lunar irradiance[J]. Journal of Remote sensing, 20(2): 278-289. 11/12/2017

6. Summarization From this project CMA initiate lunar calibration algorithm development and make it as one of main calibration methods for all FY optical sensor onboard GEO and LEO satellites. Initiate to establish the ground-based measurement system of the radiance and irradiance of full disk moon using the hyper-spectral imager and photometer which was developed and keeping improvement step by step. Conduct the validation and comparison of lunar model using the ground- based measurement data through data processing chain. The result shows that difference from current model is 5~10% and less than 2% uncertainty. Attempt the lunar model establishment based on the observation from lunar orbit satellites such as IIM/ChangE and SP/SELENE satellites. Above all are the fundamental jobs for establish Chinese space-borne calibration system based on lunar observation 11/12/2017

Future Plan Conduct more and more measurements by ground-based and space-borne methods, especially long term automatic observation. Further improve Lunar Radiance Model and Lunar Irradiance Model. Develop utilization of lunar observation in other alternative application in space-borne sensor characterization. 11/12/2017

谢谢! 2019/1/2