1. VIIRS Data of Japan Izumi Nagatani AFFRIT, MAFF Japan APAN33 EM-WG Workshop in Chiang Mai, February 13,2012 VIIRS Data Evaluation over Thailand and 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. Land Surface Reflectance MODIS Products NDVI LST SST

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

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

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 1B Sensor 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)

13. Level 2 Environmental 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.

14. VIIRS sample datasets

15. 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

16. 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

17. 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

18. ENVI plug-in h5_browser (from NOAA)

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

20. Day Night Band (DNB) SDR Spectral Range (um): 0.50 – 0.90 Units : W/ cm 2 sr Data Type : 32-bit floating point We use it for DMSP heritage, fishing boat monitoring

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

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

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

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

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

26. Average Cloud Optical Thickness (EDR product)

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

28. Conclusion MAFF needs NPP/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.

29. 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.

30. Thank you