NOAA Office of Satellite and Product Operations

Please Note:  

To view imagery from the operational GOES East (GOES-16) and GOES West (GOES-17) satellites, users may visit https://www.star.nesdis.noaa.gov/goes/.

Surface and Hydrology Products

    Operational Products
Soil Moisture (SSM/I)
Product shows soil moisture for land regions. The soil moisture is derived from the passive microwave sensor SSM/I, which has 7 channels of 19 GHz (H, V), 22 GHz (V), 37 GHz (H, V), and 85 GHz (H, V), where H is the horizontal polarization, V is the vertical polarization. The soil moisture varies from 0 to 70 mm with accuracy of 1 mm. The product is updated once per day at 4 am EST.

This product is originally generated by Fleet Numerical Meteorology and Oceanography Center (FNMOC). NOAA/NESDIS gets the product through an interagency program referred to as the Shared Processing Program in which NOAA, the US Air Force and US Navy participate. OSDPD converts the product into HDF-EOS and WMO BUFR formats and distributed to users.

Product Link

Soil Moisture image

POES Mapped Resolution: 25 km Frequency: Daily
Surface & Insolation Products (GSIP-fd)
The full disk GOES Surface & Insolation Products (GSIP-fd) processing system is a near real-time operational system for generating products related to Earth radiation budget and associated products, which include radiative fluxes for the shortwave, longwave, and visible portions of the electromagnetic spectrum; surface temperature; and cloud properties. Radiative fluxes are calculated for downward and upward directions at the Earth surface and the top-of-atmosphere. The primary output products are the insolation (shortwave downward surface radiative flux) and photosynthetically available radiation or PAR (visible downward surface radiative flux), which are used in predictive models of coral reef health (coral bleaching prediction) and hydrological models (e.g., solar influence on evapotranspiration).

Product Link  |  Version 3

Sample GOES Surface and Insolation Product - Longwave downward surface flux Image

GOES Resolution: 1/8 Degree Frequency: 1-3 Hours
Land Surface Temperature (GLST)
Land surface temperature, a key indicator of the Earth surface energy budget, is widely required in applications of hydrology, meteorology and climatology. It is of fundamental importance to the net radiation budget at the Earth's surface and for monitoring the state of crops and vegetation, as well as an important indicator of both the greenhouse effect and the energy flux between the atmosphere and earth surface. Land Surface Temperature (LST) from NOAA's Geostationary Operational Environmental Satellites (GOES) has been available as secondary products from other GOES product systems. In this product system, GOES LST is produced for the first time as primary products for operational use by NCEP/EMC for weather forecast and data assimilation models.

Product Link

Sample GOES Land Surface Temperature - Longwave downward surface flux Image

GOES Resolution: 1 km Frequency: 1-3 Hours
Surface Temperature (DPI)
Product shows false color images of derived product imagery of the temperature of the uppermost layer of the land surface (degrees K). The DPI products are generated hourly with coverage over the CONUS and adjacent ocean areas.

GOES Sounder Single Image

GOES Sounder Image Loop

Sample GOES Surface Temperature Image

GOES Resolution: 4 km (Imager) / 10 km (Sounder) Frequency: Hourly
Surface Temperature (SSM/I)
Product shows surface temperature over land. The land surface temperature is derived from the passive microwave sensor SSM/I, which has 7 channels of 19 GHz (H, V), 22 GHz (V), 37 GHz (H, V), and 85 GHz (H, V), where H is the horizontal polarization, V is the vertical polarization. The land surface temperature varies from -99 to 69 with accuracy of 1 Degree Kelvin. The product is updated once per day at 4 am EST.

This product is originally generated by Fleet Numerical Meteorology and Oceanography Center (FNMOC). NOAA/NESDIS gets the product through an interagency program referred to as the Shared Processing Program in which NOAA, the US Air Force and US Navy participate. OSDPD converts the product into HDF-EOS and WMO BUFR formats and distributed to users.

Product Link

Sample SSM/I Surface Temperature Image

POES Resolution: 25 km Frequency: Daily
Surface Type(SSM/I)
Product shows surface type around the world. The surface type is defined with the surface tag values at a given latitude and longitude. The surface types include: Floods; Dense Vegetation; Agricultural/Range Vegetation; Dry arable soil; Moist soil; Semi-Desert; Desert; Composite vegetation and water; Composite soil and water; Dry snow; Wet snow; Refrozen snow; Glacial ice. The product is updated once per day at 4 am EST.

This product is originally generated by Fleet Numerical Meteorology and Oceanography Center (FNMOC). NOAA/NESDIS gets the product through an interagency program referred to as the Shared Processing Program in which NOAA, the US Air Force and US Navy participate. OSDPD converts the product into HDF-EOS and WMO BUFR formats and distributed to users.

Product Link

Sample SSM/I Surface Type Image

GOES or POES Resolution: 25 km Frequency: Daily
VIIRS Land Surface Albedo (LSA)
VIIRS land surface albedo (SURFALB) dataset in NOAA operational system provides real-time global daily mean surface albedo, which is an inevitable parameter in the estimation of daily shortwave net radiation budget. The current operational Level-2 (L2) albedo product produce granule-based albedo data at 750 meter (m) resolution and has been operational since Sep 2019 on both SNPP VIIRS and NOAA-20 VIIRS. A Lever-3 (L3) grid-based data at 1 kilometer (km) resolution is also available now.

Product Link

Sample SSM/I Surface Type Image

POES Resolution: 1 km Frequency: Daily
VIIRS Land Temperature (LST)
VIIRS LST is produced from VIIRS satellite S-NPP and NOAA-20, for each non-confidently-cloudy land pixel observed by the VIIRS sensor. The LST retrieval will rely on data from VIIRS channels M15 and M16 using split window technique, which corrects for atmospheric absorption, and applies surface emissivity explicitly in the retrieval.
Coefficients of the LST algorithm, which were derived using an atmospheric radiative transfer model (RTM), are stratified by daytime and nighttime conditions, multiple levels of viewing geometry and dry and moist atmospheric conditions. The algorithm is then verified using a RTM simulation dataset and evaluated using S-NPP (NOAA-20) VIIRS dataset and ground measurements.

Product Link

Sample SSM/I Surface Type Image

POES Resolution: 1 km Frequency: Daily