VIIRS Data of Japan

VIIRS Data of Japan

Izumi NagataniAFFRIT, 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 ProductsNOAA 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 reflectances22 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 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.

• 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) SDRSpectral 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