ISEE/JPSS Product Inventory



Collection:

Alphabetic list of 63 products:
  1. African Wildfire Targets
    ID: CSIR
    Southern Africa Wild Fire targets are fires detected by the MODIS sensor on the Terra and Aqua satellites. It is produced by CSIR (The Council for Scientific and Industrial Research) and updated every 60 minutes to include any new information.
  2. AQUA Orbit
    ID: POESNAV-AQUA
  3. CSPP VIIRS Flood Detection
    ID: cspp-flood
    Daily direct broadcast-produced flood products created by latest alpha version of the CSPP VIIRS Flood Detection software.
  4. CSPP VIIRS Flood Detection (no cloud)
    ID: cspp-flood-nocloud
    An alternate view of the CSPP VIIRS Flood Detection product with cloud & cloud shadow pixels set to transparent.
  5. CSPP VIIRS Flood Detection - Global (no clouds)
    ID: cspp-viirs-flood-globally-nocloud
    Global flood products created from Suomi-NPP SDRs by the latest alpha version of the CSPP VIIRS Flood Detection software. This product has cloudy & cloud shadow pixels removed so that, in cases where granules overlap, only cloud free data points are displayed.
  6. DNB ClearView
    ID: DNB-ClearView
    DNB-ClearView
  7. DNB ClearView Monthly - Test
    ID: dnb-monthly-nightlights
  8. Fire Radiative Power VIIRS I-band - GINA
    ID: AFIMG-Points-GINA
    VIIRS 375m I-band high spatial resolution imagery provides a greater response over fires of relatively small areas and provides improved mapping of large fire perimeters. The 375m data also has improved nighttime performance. Consequently, these data are well suited for use in support of fire management (e.g., near real-time alert systems), as well as other science applications requiring improved fire mapping fidelity. These data represent mean fire radiative power from SNPP and NOAA-20 Direct Broadcast imagery processed with CSPP software at GINA.
  9. Fire Radiative Power VIIRS I-band DB
    ID: AFIMG-Points
    VIIRS 375m I-band high spatial resolution imagery provides a greater response over fires of relatively small areas and provides improved mapping of large fire perimeters. The 375m data also has improved nighttime performance. Consequently, these data are well suited for use in support of fire management (e.g., near real-time alert systems), as well as other science applications requiring improved fire mapping fidelity. These data represent mean fire radiative power from SNPP and NOAA-20 Direct Broadcast imagery processed with CSPP software.
  10. Landsat-7 Orbit
    ID: POESNAV-LSAT7
  11. Landsat-8 Orbit
    ID: POESNAV-LSAT8
  12. MADIS Surface DewPoint
    ID: MADIS-dewt
    The MADIS Surface Dewpoint uses a 2-dimensional boxcar spatial convolution to smooth hourly average surface observations from the NCEP Meteorological Assimilation Data Ingest System (MADIS) to a grid resolution of 0.7 degree latitude/longitude. The source data is obtained in near-real time from https://madis.ncep.noaa.gov/.
  13. MIRS 90Ghz Brightness Temperature
    ID: MIRS-BT90
    MIRS 90Ghz Brightness Temperature
  14. MIRS Rain Rate
    ID: MIRS-RainRate
    MIRS Rain Rate
  15. NOAA-15 Orbit
    ID: POESNAV-N15
  16. NOAA-18 Orbit
    ID: POESNAV-N18
  17. NOAA-20 Orbit
    ID: POESNAV-N20
  18. NOAA-20 VIIRS DNB (Swaths)
    ID: j01-viirs-dnb-swath
    View of j01-viirs-bands-night-swath
  19. NOAA-20 VIIRS False Color (Daily Composite)
    ID: j01-viirs-false-color-daily
    View of j01-viirs-false-color-swath
  20. NOAA-20 VIIRS False Color (Hourly Composite)
    ID: j01-viirs-false-color-hourly
    View of j01-viirs-false-color
  21. NOAA-20 VIIRS False Color (Swaths)
    ID: j01-viirs-false-color-swath
    View of j01-viirs-false-color
  22. NOAA-20 VIIRS M-Band Fire RGB (Swaths)
    ID: j01-viirs-swath-fire-color
    This image is made by on-the-fly combining VIIRS bands M11 (2.25um) as red, M7 (8.66um) as green, and M4 (5.55) as blue. Because the M11 shortwave infrared band is sensitive to bright fires, it highlights active especially hot fires in red while preserving a natural color appearance in the rest of the image.
  23. NOAA-20 VIIRS M-Band Fire Temp (Swaths)
    ID: j01-viirs-swath-fire-temp
    On-the-fly combination of bands 11, 10, 12.
  24. NOAA-20 VIIRS True Color (Daily Composite)
    ID: j01-viirs-true-color-daily
    View of j01-viirs-true-color-swath
  25. NOAA-20 VIIRS True Color (Hourly Composite)
    ID: j01-viirs-true-color-hourly
    View of j01-viirs-true-color
  26. NOAA-20 VIIRS True Color (Swaths)
    ID: j01-viirs-true-color-swath
    View of j01-viirs-true-color
  27. NUCAPS-MADIS-SBCAPE
    ID: NUCAPS-MADIS-SBCAPE
    The MADIS-NUCAPS Surface-Based CAPE merges hourly average surface observations from the NCEP Meteorological Assimilation Data Ingest System (MADIS) with NOAA NUCAPS soundings from the most recent overpass of operational meteorological satellites (SNPP, METOP, or NOAA-20). The SB-CAPE is computed using the SHARPYpy software derived from software used by the NWS Storm Prediction Center (SPC). The satellite data are obtained using the SSEC direct broadcast antennae, processed using CSPP software in near-real time, and displayed in near-real time using SSEC"s RealEarth.
  28. NUCAPS-MADIS Mean Layer CAPE
    ID: NUCAPS-MADIS-MLCAPE
    NUCAPS-MADIS-MLCAPE
  29. NUCAPS-MADIS Mean Layer CIN
    ID: NUCAPS-MADIS-MLCIN
    NUCAPS-MADIS-MLCIN
  30. NUCAPS-MADIS Mean Layer LI
    ID: NUCAPS-MADIS-MLLI
    NUCAPS-MADIS-MLLI
  31. NUCAPS-MADIS Surface CAPE
    ID: MADIS-NUCAPS-Surface-CAPE
    The MADIS-NUCAPS Surface-Based CAPE merges hourly average surface observations from the NCEP Meteorological Assimilation Data Ingest System (MADIS) with NOAA NUCAPS soundings from the most recent overpass of operational meteorological satellites (SNPP, METOP, or NOAA-20). The SB-CAPE is computed using the SHARPYpy software derived from software used by the NWS Storm Prediction Center (SPC). The satellite data are obtained using the SSEC direct broadcast antennae, processed using CSPP software in near-real time, and displayed in near-real time using SSEC"s RealEarth.
  32. NUCAPS-MADIS Surface CIN
    ID: NUCAPS-MADIS-SBCIN
    NUCAPS-MADIS-SBCIN
  33. NUCAPS-MADIS Surface LI
    ID: NUCAPS-MADIS-SBLI
    NUCAPS-MADIS-SBLI
  34. NUCAPS CAA Temp 180mb
    ID: NUCAPS-CAA-temp-180mb
  35. NUCAPS CAA Temp 200mb
    ID: NUCAPS-CAA-temp-200mb
  36. NUCAPS CAA Temp 235mb
    ID: NUCAPS-CAA-temp-235mb
  37. NUCAPS CAA Temp 260mb
    ID: NUCAPS-CAA-temp-260mb
  38. NUCAPS CAA Temp 286mb
    ID: NUCAPS-CAA-temp-286mb
  39. Sea Ice Concentration
    ID: NPP-SIC-ENH
    The Sea Ice Concentration product is based on NOAA Enterprise Algorithm. The original spatial resolution is 750 m as the data input are VIIRS M band at 750 m resolution. It is regridded to the original resolution to 1 km EASE2-Grid. For the reference, you can refer to Liu, Y., Key, J., & Mahoney, R. (2016). Sea and freshwater ice concentration from VIIRS on Suomi NPP and the future JPSS satellites. Remote Sensing, 8(6), 523.
  40. SENTINEL 2A Orbit
    ID: POESNAV-SEN2A
    POESNAV-SEN2A
  41. SENTINEL 2B Orbit
    ID: POESNAV-SEN2B
    POESNAV-SEN2B
  42. SNPP Day/Night AM Composite - Adaptive
    ID: nppadpam
    NPP Day/Night AM Composite - Adaptive
  43. SNPP Day/Night Band (DNB) - Honolulu DB
    ID: nppdnbdyn-hnl
    NPP Day/Night Band (DNB) - Honolulu DB
  44. SNPP Day/Night Band (DNB) - Madison DB
    ID: nppdnbdyn-msn
    Suomi NPP Day/Night Band (DNB) imagery received and processed by the SSEC UW-Madison direct reception facility by Direct Broadcast from the satellite.
  45. SNPP Day/Night Band (DNB) - Puerto Rico DB
    ID: nppdnbdyn-upr
    NPP Day/Night Band (DNB) - Puerto Rico DB
  46. SNPP Day/Night Band - Dynamic
    ID: nppdnb
    NPP Day/Night Band - Dynamic
  47. SNPP False Color
    ID: nppfc
    NPP False Color
  48. SNPP NUCAPS CO-MR-496mb
    ID: CO-MR-496mb
    This a proof of concept example of NUCAPS from Suomi NPP CrIS/ATMS data, converted to a gridded NetCDF.
  49. SNPP Orbit
    ID: POESNAV-NPP
  50. SNPP Sea Surface Temperature
    ID: nppsst
    NPP Sea Surface Temperature
  51. SNPP Sea Surface Temperature (SST) - Madison DB
    ID: nppsst-msn
    NPP Sea Surface Temperature (SST) - Madison DB
  52. SNPP True Color (TC) - Honolulu DB
    ID: npptc-hnl
    NPP True Color (TC) - Honolulu DB
  53. SNPP True Color (TC) - Puerto Rico DB
    ID: npptc-upr
    NPP True Color (TC) - Puerto Rico DB
  54. SNPP VIIRS False Color - Madison DB
    ID: nppfc-msn
    Suomi-NPP VIIRS False Color imagery received and processed by the SSEC UW-Madison direct reception facility by Direct Broadcast from the satellite.
  55. SNPP VIIRS True Color - Madison DB
    ID: npptc-msn
    Suomi-NPP VIIRS True Color imagery received and processed by the SSEC UW-Madison direct reception facility by Direct Broadcast from the satellite.
  56. TERRA Orbit
    ID: POESNAV-TERRA
  57. VIIRS Aerosol Optical Depth (AOD) - GINA
    ID: AOD-RGB-GINA
    Aerosol optical depth is a measure of the extinction of the solar beam by dust and haze. In other words, particles in the atmosphere (dust, smoke, pollution) can block sunlight by absorbing or by scattering light. AOD tells us how much direct sunlight is prevented from reaching the ground by these aerosol particles. It is a dimensionless number that is related to the amount of aerosol in the vertical column of atmosphere over the observation location. A value of 0.01 corresponds to an extremely clean atmosphere, and a value of 0.4 would correspond to a very hazy condition. An average aerosol optical depth for the U.S. is 0.1 to 0.15.
  58. VIIRS Fire RGB - GINA
    ID: DayLandCloudFire-RGB-GINA
    This RGB is created by assigning the VIIRS 3.74um channel to red, 0.87um channel to green, and the 0.64um channel to blue. It is used to assess fire perimeters and burn scars. These data are produced by the Geographic Information Network of Alaska (GINA).
  59. VIIRS Fire Temp RGB - GINA
    ID: FireTemperature-RGB-GINA
    This RGB is created by assigning the VIIRS 3.74um channel to red, 2.25um channel to green, and the 1.61um channel to blue. It is used to assess fire intensity and size, with fires ranging from red (lowest) to yellow to white (hottest or biggest). These data are produced by the Geographic Information Network of Alaska (GINA).
  60. VIIRS i04 - GINA
    ID: VIIRS-i04-GINA
    This is the VIIRS 3.74um single channel i-band with 376 m resolution. It is an IR channel that is very sensitive to fires and hot spots and is available day or night. A special colormap is used to enhance the warm-hot pixels. The sensors can become saturated by very intense fires and daytime radiance values can affected by reflected sunlight. These data are produced by the Geographic Information Network of Alaska (GINA).
  61. VIIRS NDVI 16-day Composite
    ID: NDVI-16day-before
    This CONUS NDVI product is clipped from the global VIIRS composite product VNP13A1-001 using AppEEARS at the NASA LPDAAC. The spatial resolution is 500m. It is made with in alternating 8-day cycles from best available pixels. See link below for more information.
  62. VIIRS Snowmelt - GINA
    ID: VIIRS-Snowmelt-GINA
    This RGB is created by assigning the VIIRS 1.61um channel to red, 1.24um channel to green, and the 0.64um channel to blue. The blue shades identify snow cover characteristics. Darker blue shows wetter or older snow and lighter blues show drier or newer snow. These data are produced by the Geographic Information Network of Alaska (GINA).
  63. VIIRS True Color RGB - GINA
    ID: TrueColor-RGB-GINA
    This RGB is made from the red (0.64um), green (0.56um) and blue (0.49um) visible VIIRS channels. It produces a product that is close to what the human eye would see from space.