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VIIRS Data of Japan

APAN33 EM-WG Workshop in Chiang Mai, February 13,2012. VIIRS Data Evaluation over Thailand and Japan. VIIRS Data of Japan. Izumi Nagatani AFFRIT, MAFF Japan. Terra/Aqua DR sites. NASA Direct Readout Laboratory. Satellite Image Database system ( SIDaB ). NOAA and DMSP Products.

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VIIRS Data of Japan

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  1. APAN33 EM-WG Workshop in Chiang Mai, February 13,2012 VIIRS Data Evaluation over Thailand and Japan VIIRS Data of Japan Izumi Nagatani AFFRIT, MAFF Japan

  2. Terra/Aqua DR sites NASA Direct Readout Laboratory

  3. Satellite Image Database system (SIDaB)

  4. NOAA and DMSP Products NOAA Sea Surface Temperature (MCSST) DMSP/OLS Nighttime lights

  5. MODIS Products LST Land Surface Reflectance NDVI SST

  6. Forest Fire Information System using real-time MODIS data

  7. Forest Fire Information System using real-time MODIS data Forest fire detection Vegetation dryness prediction

  8. Key issue • Data continuity for AFF researchers and practical users

  9. NPP/VIIRS

  10. NPP/VIIRS 3 data levels • Raw Data Records (RDRs) / Level 0 • Sensor Data records (SDRs) / Level 1B • Environmental Data Records (EDRs) / Level 2

  11. Level 1BSensor Data Records (SDRs) Calibrated and geolocated radiances and reflectances 22 bands - Moderate resolution bands • M1-M11: Reflective Solar Bands (RSB) • M12-M16: Thermal Emission Bands (TEB) - Imaging resolution bands • I1-I3: RSB • I4-I5: TEB - Day Night Band (DNB)

  12. Level 2Environmental Data Records (EDRs) 24 Products • Aerosols Aerosol optical thickness, Aerosol particle size parameter, Suspended matter. • Imagery and Clouds Imagery, Cloud mask, Cloud optical thickness, Cloud effective particle size parameter, Cloud top parameters, Cloud base height, Cloud cover/layers. • Land Active Fires, Land surface temperature, Ice surface temperature, Snow ice characterization, Snow cover/depth, Vegetation index, Surface type. • Ocean Sea surface temperature, Ocean color.

  13. VIIRS sample datasets

  14. VIIRS sample dataset (one Japan_day) • GCLDO-VCOTO_npp_d20120126_t0350519 (9.0M) • GNDBO-SVDNB_npp_d20120126_t0350519 (548M) • GIGTO-VI1BO-VI2BO-VI3BO-VI4BO- VI5BO_npp_d20120126_t0350358 (2.9G) • GIMGO-SVI01-SVI02-SVI03-SVI04-SVI05_npp_d20120126_t0350519 (2.2G) • GMODO-SVM01-SVM02-SVM03-SVM04-SVM05-….-SVM15_npp_d20120126_t0350519 (1.2G) • GMTCO_npp_d20120126_t0350519 (310M) Blue: Sensor Data Records, Red: Environmental Dada Records

  15. VIIRS sample dataset (3 Japan_night) • GCLDO-VCOTO_npp_d20120126_t1610339 (9.0M) • GNDBO-SVDNB_npp_d20120126_t1610339 (548M) • GIGTO-VI4BO-VI5BO_npp_d20120126_t16… (2.2G) • GIMGO-SVI04-SVI05_npp_d20120126_t16… (1.6G) • GITCO_npp_d20120126_t1616143 (1.3G) • GMODO-SVM07-SVM08-SVM10-SVM12-…- SVM16_npp_d20120126_t1610339 (742M) • GMTCO_npp_d20120126_t1610339 (310M) Blue: SDR, Red: EDR

  16. Data product IDs • SVDNB: SDR for DNB band • SVIxx: SDR for Imagery band xx, where xx=01-05 • SVMxx: SDR for Moderate Resolution Radiometric Band, where xx=01-16 • GDNBO: Geolocation for DNB band • GIMGO: Geolocation for Imagery bands • GMODO: Geolocation for Moderate Resolution Radiometric Bands

  17. ENVI plug-in h5_browser (fromNOAA)

  18. GITCO (height) Terrain Computation 2-D data Height Latitude Longitude SatelliteAzimuthAngle SatelliteRange SatelliteZenithAngle SolarAzimuthAngle SolarZenithAngle

  19. Day Night Band (DNB) SDR Spectral Range (um): 0.50 – 0.90 Units : W/ cm2sr Data Type : 32-bit floating point We use it for DMSP heritage, fishing boat monitoring

  20. Day Night Band (DNB) SDR Very fine !! Tokyo Hokkaido

  21. Comparison with DMSP-OLS DMSP-OLS (Res:2.7km) VIIRS DNB (Res:0.742km)

  22. True color image (R,G,B:M5,M4,M3) SDR Horizontal Sample Interval by scan angle

  23. False color image (R,G,B: M11,M7,M5) SDR

  24. False color image (R,G,B: M11,M7,M5) EDR Gaps?

  25. Average Cloud Optical Thickness (EDR product)

  26. NOAA CLASS http://www.class.noaa.gov/

  27. Conclusion • MAFF needsNPP/VIIRS data of Japan and SE Asian region for research continuity especially for forest fire detection and fishing boats monitoring of night time lights data. • The fine VIIRS night time lights imagery is excellent! • In this time, we checked the file names, imageries and HDF data structures, which are not simple for non experts. • We are considering to use the CLASS system to obtain real time data.

  28. Acknowledgments Thank Dr. Chris Elvidge and Ms. Sharolyn Anderson of NOAA-NGDC for providing VIIRS sample datasets, and Ms. Kimberly Baugh of CIRES, NOAA-NGDC for providing excellent ENVI plugins.

  29. Thank you

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