ISEE/JPSS Product Inventory



App Collection:

Alphabetic list of products:
  1. African Wild Fire 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. 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.
  3. 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.
  4. CSPP VIIRS Flood Detection - Global
    ID: cspp-viirs-flood-globally
    Global flood products created from Suomi-NPP SDRs by the latest alpha version of the CSPP VIIRS Flood Detection software.
  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. Fractional Snow Cover
    ID: snow-fraction
    Global daily maps of snow fraction are produced from VIIRS data. At this time information on the presence/absence of snow in every VIIRS pixel (i.e., binary snow mask) is obtained from the IDPS Binary Snow Map product. Snow fraction is derived with a new (NDE) algorithm which estimates the area fraction of the pixel covered with snow. Within the NDE reflectance-based snow fraction algorithm the snow fraction is inferred from the the observed reflectance in the VIIRS visible band (I1). Snow fraction is assumed linearly related to the visible reflectance of the pixel. The NDE snow fraction approach is different from the one in the current IDPS algorithm where snow fraction is estimated through aggregation of the VIIRS binary snow map within 2x2 pixel blocks.
  8. HRRR Surface Smoke Forecast
    ID: HRRR-smoke-surface-2
    NOAA Earth System Research Laboratory High Resolution Rapid Refresh (HRRR) Surface Smoke forecast model, uses VIIRS inputs.
  9. HRRR Vertically Integrated Smoke Fcst
    ID: HRRR-smoke-column
    NOAA Earth System Research Laboratory High Resolution Rapid Refresh (HRRR) Vertically Integrated Smoke forecast model, uses VIIRS inputs.
  10. JPSS-1 Orbit times
    ID: POESNAV-N20point
    POES Orbit Locations - JPSS-1
  11. JPSS-1 Orbit tracks
    ID: POESNAV-N20track
    POES Orbit Tracks - JPSS-1
  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. MIMIC Total Precip Water Hi-Res color
    ID: MIMICTPWHRE
    MIMIC-TPW2 Hi-Res is an experimental global product of total precipitable water (TPW), using morphological compositing of the MIRS retrieval from several available operational microwave-frequency sensors. MIMIC stands for "Morphed Integrated Microwave Imagery at CIMSS." The specific technique used here was initially described in a 2010 paper by Wimmers and Velden. This Hi-Res Version is interpolated and smoothed from the MIMIC-TPW2 product to 2 km resolution.
  14. MIMIC Total Precip Water Hi-Res gray
    ID: MIMICTPWHR
    MIMIC-TPW2 Hi-Res is an experimental global product of total precipitable water (TPW), using morphological compositing of the MIRS retrieval from several available operational microwave-frequency sensors. MIMIC stands for "Morphed Integrated Microwave Imagery at CIMSS." The specific technique used here was initially described in a 2010 paper by Wimmers and Velden. This Hi-Res Version is interpolated and smoothed from the MIMIC-TPW2 product to 2 km resolution.
  15. MIMIC Total Precip Water v1 color
    ID: MIMICTPW
    The MIMIC-TPW product presents total precipitable water over the ocean, retrieved from SSMI and AMSR-E microwave sensors. The final product is an hourly composite of many swaths of TPW retrievals, advected to the required time using 1000-600 hPa winds from the GFS model.
  16. MIMIC Total Precip Water v2 color
    ID: MIMICTPW2E
    MIMIC-TPW2 is an experimental global product of total precipitable water (TPW), using morphological compositing of the MIRS retrieval from several available operational microwave-frequency sensors. MIMIC stands for "Morphed Integrated Microwave Imagery at CIMSS." The specific technique used here was initially described in a 2010 paper by Wimmers and Velden. This Version 2 is developed from an older method (still running in real-time) that uses simpler, but more limited TPW retrievals and advection calculations.
  17. MIMIC Total Precip Water v2 gray
    ID: MIMICTPW2
    MIMIC-TPW2 is an experimental global product of total precipitable water (TPW), using morphological compositing of the MIRS retrieval from several available operational microwave-frequency sensors. MIMIC stands for "Morphed Integrated Microwave Imagery at CIMSS." The specific technique used here was initially described in a 2010 paper by Wimmers and Velden. This Version 2 is developed from an older method (still running in real-time) that uses simpler, but more limited TPW retrievals and advection calculations.
  18. MIRS 90Ghz Brightness Temperature
    ID: MIRS-BT90
    MIRS 90Ghz Brightness Temperature
  19. MIRS Rain Rate
    ID: MIRS-RainRate
    MIRS Rain Rate
  20. NPP Aerosol Optical Depth
    ID: nppaod
    NPP Aerosol Optical Depth
  21. NPP Day/Night AM Composite - Adaptive
    ID: nppadpam
    NPP Day/Night AM Composite - Adaptive
  22. NPP Day/Night AM Composite - Histogram
    ID: npphstam
    NPP Day/Night AM Composite - Histogram
  23. NPP Day/Night Band (DNB) - Honolulu DB
    ID: nppdnbdyn-hnl
    NPP Day/Night Band (DNB) - Honolulu DB
  24. NPP Day/Night Band (DNB) - Madison DB
    ID: nppdnbdyn-msn
    NPP Day/Night Band (DNB) - Madison DB
  25. NPP Day/Night Band (DNB) - Miami DB
    ID: nppdnbdyn-mia
    NPP Day/Night Band (DNB) - Miami DB
  26. NPP Day/Night Band (DNB) - Puerto Rico DB
    ID: nppdnbdyn-upr
    NPP Day/Night Band (DNB) - Puerto Rico DB
  27. NPP Day/Night Band - Dynamic
    ID: nppdnb
    NPP Day/Night Band - Dynamic
  28. NPP False Color
    ID: nppfc
    NPP False Color
  29. NPP False Color (FC) - Madison DB
    ID: nppfc-msn
    NPP False Color (FC) - Madison DB
  30. NPP Orbit times
    ID: POESNAV-NPPpoint
    POES Orbit Locations - NPP
  31. NPP Orbit tracks
    ID: POESNAV-NPPtrack
    POES Orbit Tracks - NPP
  32. NPP Sea Surface Temperature
    ID: nppsst
    NPP Sea Surface Temperature
  33. NPP Sea Surface Temperature (SST) - Madison DB
    ID: nppsst-msn
    NPP Sea Surface Temperature (SST) - Madison DB
  34. NPP True Color (TC) - Global
    ID: GLOBALnpptc
    NPP True Color (TC) - Global
  35. NPP True Color (TC) - Honolulu DB
    ID: npptc-hnl
    NPP True Color (TC) - Honolulu DB
  36. NPP True Color (TC) - Madison DB
    ID: npptc-msn
    NPP True Color (TC) - Madison DB
  37. NPP True Color (TC) - Miami DB
    ID: npptc-mia
    NPP True Color (TC) - Miami DB
  38. NPP True Color (TC) - Puerto Rico DB
    ID: npptc-upr
    NPP True Color (TC) - Puerto Rico DB
  39. 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.
  40. NUCAPS-MADIS Mean Layer CAPE
    ID: NUCAPS-MADIS-MLCAPE
    NUCAPS-MADIS-MLCAPE
  41. NUCAPS-MADIS Mean Layer CIN
    ID: NUCAPS-MADIS-MLCIN
    NUCAPS-MADIS-MLCIN
  42. NUCAPS-MADIS Mean Layer LI
    ID: NUCAPS-MADIS-MLLI
    NUCAPS-MADIS-MLLI
  43. 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.
  44. NUCAPS-MADIS Surface CIN
    ID: NUCAPS-MADIS-SBCIN
    NUCAPS-MADIS-SBCIN
  45. NUCAPS-MADIS Surface LI
    ID: NUCAPS-MADIS-SBLI
    NUCAPS-MADIS-SBLI
  46. River-ICE-CONCENTRATION: Alaska
    ID: RVER-ICEC-AP
    CIMSS hosts a flood product developed at a river ice product developed at City College of New York (CCNY) derived from VIIRS. The CCNY algorithm produces an enhanced river ice mapping product with river ice concentration. Products are generated with direct broadcast VIIRS data in near real-time. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Algorithm Version5.0, Alaska region
  47. RIVER-ICE-CONCENTRATION: Missouri Basin
    ID: RVER-ICEC-MB
    CIMSS hosts a flood product developed at a river ice product developed at City College of New York (CCNY) derived from VIIRS. The CCNY algorithm produces an enhanced river ice mapping product with river ice concentration. Products are generated with direct broadcast VIIRS data in near real-time. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Algorithm Version4.3, Missouri Basin (product off-line in summer)
  48. River-ICE-CONCENTRATION: North Central Basin
    ID: RVER-ICEC-NC
    CIMSS hosts a flood product developed at a river ice product developed at City College of New York (CCNY) derived from VIIRS. The CCNY algorithm produces an enhanced river ice mapping product with river ice concentration. Products are generated with direct broadcast VIIRS data in near real-time. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Algorithm Version4.3, North Central Basin (product off-line in summer)
  49. River-ICE-CONCENTRATION: North East Basin
    ID: RVER-ICEC-NE
    CIMSS hosts a flood product developed at a river ice product developed at City College of New York (CCNY) derived from VIIRS. The CCNY algorithm produces an enhanced river ice mapping product with river ice concentration. Products are generated with direct broadcast VIIRS data in near real-time. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Algorithm Version4.3, North East Basin (product off-line in summer)
  50. River Flood: Alaska
    ID: RIVER-FLDall-AP
    CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Alaska region Quick guide
  51. River Flood: Alaska (transparent)
    ID: RIVER-FLDtsp-AP
    CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Alaska region(Transparent flood-free land) Quick guide
  52. River Flood: Global
    ID: RIVER-FLDglobal
    CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Global(CSPP product) Quick guide
  53. River Flood: Global (enhanced)
    ID: RIVER-FLDglobal-enh
    CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Global(CSPP product, enhanced color table) Quick guide
  54. River Flood: Missouri Basin
    ID: RIVER-FLDall-MB
    CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Missouri Basin Quick guide
  55. River Flood: Missouri Basin (transparent)
    ID: RIVER-FLDtsp-MB
    CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Missouri Basin(Transparent flood-free land) Quick guide
  56. River Flood: North Central Basin
    ID: RIVER-FLDall-NC
    CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. North Central Basin Quick guide
  57. River Flood: North Central Basin (transparent)
    ID: RIVER-FLDtsp-NC
    CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. North Central Basin(Transparent flood-free land) Quick guide
  58. River Flood: North East Basin
    ID: RIVER-FLDall-NE
    CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. North East Basin Quick guide
  59. River Flood: North East Basin (transparent)
    ID: RIVER-FLDtsp-NE
    CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. North East Basin(Transparent flood-free land) Quick guide
  60. River Flood: North West
    ID: RIVER-FLDall-NW
    CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Northwest Region Quick guide
  61. River Flood: North West (transparent)
    ID: RIVER-FLDtsp-NW
    CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Northwest Region(Transparent flood-free land) Quick guide
  62. River Flood: South East
    ID: RIVER-FLDall-SE
    CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Southeast Region Quick guide
  63. River Flood: South East (transparent)
    ID: RIVER-FLDtsp-SE
    CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Southeast Region(Transparent flood-free land) Quick guide
  64. River Flood: South West
    ID: RIVER-FLDall-SW
    CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Southwest Region Quick guide
  65. River Flood: South West (tsp)
    ID: RIVER-FLDtsp-SW
    CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Southwest Region(Transparent flood-free land) Quick guide
  66. River Flood: US
    ID: RIVER-FLDall-US
    CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. US Quick guide
  67. River Flood: US (transparent)
    ID: RIVER-FLDtsp-US
    CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. US(Transparent flood-free land) Quick guide
  68. River Flood: West Gulf Basin
    ID: RIVER-FLDall-WG
    CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. West Gulf Basin Quick guide
  69. River Flood: West Gulf Basin (transparent)
    ID: RIVER-FLDtsp-WG
    CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. West Gulf Basin(Transparent flood-free land) Quick guide
  70. River Ice: Alaska
    ID: RIVER-ICE-AP
    CIMSS hosts a flood product developed at a river ice product developed at City College of New York (CCNY) derived from VIIRS. The CCNY algorithm produces an enhanced river ice mapping product with river ice extent. Products are generated with direct broadcast VIIRS data in near real-time. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Algorithm Version5.0, Alaska
  71. River Ice: Missouri Basin
    ID: RIVER-ICE-MB
    CIMSS hosts a flood product developed at a river ice product developed at City College of New York (CCNY) derived from VIIRS. The CCNY algorithm produces an enhanced river ice mapping product with river ice extent. Products are generated with direct broadcast VIIRS data in near real-time. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Algorithm Version4.3, Missouri Basin (product off-line in summer)
  72. River Ice: North Central Basin
    ID: RIVER-ICE-NC
    CIMSS hosts a flood product developed at a river ice product developed at City College of New York (CCNY) derived from VIIRS. The CCNY algorithm produces an enhanced river ice mapping product with river ice extent. Products are generated with direct broadcast VIIRS data in near real-time. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Algorithm Version4.3, North Central Basin (product off-line in summer)
  73. River Ice: North East Basin
    ID: RIVER-ICE-NE
    CIMSS hosts a flood product developed at a river ice product developed at City College of New York (CCNY) derived from VIIRS. The CCNY algorithm produces an enhanced river ice mapping product with river ice extent. Products are generated with direct broadcast VIIRS data in near real-time. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Algorithm Version4.3, Northeast Basin (product off-line in summer)
  74. RVER-ICEX-AP
    ID: RVER-ICEX-AP
  75. RVER-ICEX-MB
    ID: RVER-ICEX-MB
  76. RVER-ICEX-NC
    ID: RVER-ICEX-NC
  77. RVER-ICEX-NE
    ID: RVER-ICEX-NE
  78. RVER-ICEX-NW
    ID: RVER-ICEX-NW
  79. 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.
  80. VIIRS Active Fire Locations
    ID: FIRMS-VIIRSActiveFires
    FIRMS: VIIRS I-Band 375 m Active Fire Locations
  81. VIIRS Active Fire Locations (Raster)
    ID: FIRMS-VIIRSActiveFires-Raster
    View of FIRMS-VIIRSActiveFires
  82. VIIRS Aerosol Optical Depth
    ID: VIIRS-AOD
    VIIRS Aerosol Optical Depth
  83. VIIRS Cloud Optical Thickness
    ID: VIIRS-COT
    VIIRS Cloud Optical Thickness
  84. VIIRS Satellite Detected Fire Locations
    ID: VIIRS-Fire
    VIIRS Satellite Detected Fire Locations
  85. VIIRS True Color
    ID: VIIRS-TC
    VIIRS True Color