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

Terra/Aqua DR sites

NASA Direct Readout Laboratory

Satellite Image Database system (SIDaB)

NOAA and DMSP Products

NOAA Sea Surface Temperature (MCSST) DMSP/OLS Nighttime lights

Land Surface Reflectance

MODIS ProductsNDVI

LST

SST

Forest Fire Information System using real-time MODIS data

Forest fire detection Vegetation dryness prediction

Forest Fire Information System using real-time MODIS data

Key issue

• Data continuity for AFF researchers and practical users

NPP/VIIRS

NPP/VIIRS 3 data levels

• Raw Data Records (RDRs) / Level 0• Sensor Data records (SDRs) / Level 1B• Environmental Data Records (EDRs) / Level 2

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)

Level 2Environmental Data Records (EDRs)

24 Products• Aerosols

Aerosol optical thickness, Aerosol particle size parameter, Suspended matter.

• Imagery and CloudsImagery, 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.

• OceanSea surface temperature, Ocean color.

VIIRS sample datasets

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

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

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

ENVI plug-in h5_browser (from NOAA)

GITCO (height)

Terrain Computation2-D data

HeightLatitudeLongitudeSatelliteAzimuthAngleSatelliteRangeSatelliteZenithAngleSolarAzimuthAngleSolarZenithAngle

Day Night Band (DNB) SDR

Spectral Range (um):0.50 – 0.90Units :W/ cm2 srData Type :32-bit floating point

We use it for DMSP heritage,fishing boat monitoring

Day Night Band (DNB) SDR

Tokyo Hokkaido

Very fine !!

Comparison with DMSP-OLS

DMSP-OLS (Res:2.7km) VIIRS DNB (Res:0.742km)

True color image (R,G,B:M5,M4,M3)

SDR

Horizontal Sample Intervalby scan angle

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

SDR

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

EDR

Gaps?

Average Cloud Optical Thickness (EDR product)

NOAA CLASShttp://www.class.noaa.gov/

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.

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.

Thank you