Transcript APAN33_EM_Nagatani

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
NOAA Sea Surface Temperature (MCSST)
DMSP/OLS Nighttime lights
MODIS Products
Land Surface
Reflectance
LST
NDVI
SST
Forest Fire Information System using
real-time MODIS data
Forest Fire Information System using
real-time MODIS data
Forest fire detection
Vegetation dryness prediction
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 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)
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.
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-VI4BOVI5BO_npp_d20120126_t0350358
(2.9G)
• GIMGO-SVI01-SVI02-SVI03-SVI04SVI05_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 Computation
2-D data
Height
Latitude
Longitude
SatelliteAzimuthAngle
SatelliteRange
SatelliteZenithAngle
SolarAzimuthAngle
SolarZenithAngle
Day Night Band (DNB) SDR
Spectral Range (um):
0.50 – 0.90
Units :
W/ cm2 sr
Data Type :
32-bit floating point
We use it for DMSP heritage,
fishing boat monitoring
Day Night Band (DNB) SDR
Very fine !!
Tokyo
Hokkaido
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 Interval
by 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 CLASS
http://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