This dataset contains a high quality operational environmental data record (EDR) that contains pinpoint locations of active fires (AF) as identified by an algorithm based on the Moderate Resolution Imaging Spectroradiometer (MODIS) Fires and Thermal Anomalies Collection 4 product, but improved upon and adapted for use by the Visible Infrared Imaging Radiometer (VIIRS) instrument onboard the Suomi-NPP satellite. The product also contains quality information which provides support information on the quality of fire retrievals. The algorithm utilizes sensor data from the 4 micron and 11 micron spectral bands (M13 and M15), at a spatial resolution of 750 meters at nadir to deliver a list of fire pixels at a given location on Earth approximately every 12 hours.
HDF-5
L2
GDNBO
VIIRS Day Night Band SDR Ellipsoid Geolocation
The VIIRS Day Night Band SDR Ellipsoid Geolocation provides the corresponding latitude, longitude, solar zenith angle, lunar zenith angle, moon illumination fraction, and satellite zenith angle data.
HDF-5
L1B
GIMGO
VIIRS High Resolution Image Bands SDR Ellipsoid Geolocation
This Level 1A data set contains counts for 36 MODIS channels, along with raw instrument engineering and spacecraft ancillary data. The Level-1A data are used as input for geolocation, calibration, and processing. Quality indicators are added to the data to indicate missing or bad pixels and instrument modes. Visible, SWIR, and NIR measurements are made during daytime only, while radiances for TIR are measured during both the day and the night portions of the orbit.
HDF-EOS2
L1A
MOD021KM
MODIS Calibrated Radiances 5-Min L1B Swath 1km
This Level 1B collection contains calibrated and geolocated radiances at-aperture for all 36 MODIS spectral bands at 1km resolution.
HDF-EOS2
L1B
MOD02HKM
MODIS Calibrated Radiances 5-Min L1B Swath 500m
This Level 1B collection contains calibrated and geolocated radiances at-aperture for MODIS spectral bands 1 through 7 at 500m resolution.
HDF-EOS2
L1B
MOD02OBC
MODIS On-Board Calibrator and Engineering Data 5-Min L1B
The Level 1B data set contains calibrated and geolocated at-aperture radiances for 36 bands generated from MODIS Level 1A sensor counts (MOD01). The radiances are in W/(m2-µm-sr). In addition, reflectance may be determined for the solar reflective bands (bands 1-19, 26) through knowledge of the solar irradiance (e.g., determined from MODIS solar-diffuser data, and from the target-illumination geometry). Additional data are provided, including quality flags, error estimates, and calibration data.
HDF-EOS2
L1B
MOD02QKM
MODIS Calibrated Radiances 5-Min L1B Swath 250m
This Level 1B collection contains calibrated and geolocated radiances at-aperture for MODIS spectral bands 1 and 2 at 250m resolution.
HDF-EOS2
L1B
MOD03
MODIS Geolocation Fields 5-Min L1A Swath 1km
The MODIS Geolocation product contains geodetic coordinates, ground elevation, and solar and satellite zenith, and azimuth angle for each MODIS 1-km sample. These data are provided as a 'companion' data set to the Level 1B calibrated radiances and the Level 2 data sets to enable further processing. These geolocation fields are determined using the spacecraft attitude and orbit, instrument telemetry, and a digital elevation model.
HDF-EOS2
L1A
MOD04L2
MODIS Aerosol 5-Min L2 Swath 10km
The MODIS Aerosol Product monitors the ambient aerosol optical thickness over the oceans globally and over the continents. Furthermore, the aerosol size distribution is derived over the oceans, and the aerosol type is derived over the continents. "Fine" aerosols (anthopogenic/pollution) and "course" aerosols (natural particles; e.g., dust) are also derived. Daily Level 2 (MOD04) data are produced at the spatial resolution of a 10 x 10 1-km (at nadir)- pixel array. The aerosol product includes the "deep-blue" algorithm recently developed to get aerosol optical thickness over bright land areas.
HDF-EOS2
L2
MOD06L2
MODIS Clouds 5-Min L2 Swath 1km and 5km
The MODIS Cloud Product combines infrared and visible techniques to determine physical and radiative cloud properties. Cloud particle phase, effective radius, cloud optical thickness, and cloud integrated water path are derived at 1-km pixel resolution using the MODIS visible, near-infrared, and shortwave infrared bands. Cloud top temperature, cloud top pressure, effective emissivity, and cloud particle phase are produced by infrared retrieval methods both day and night at 5 × 5 1-km-pixel resolution. Finally, the MODIS Cloud Product includes cirrus reflectance in the visible at 1-km pixel resolution, useful for removing cirrus scattering effects from the land surface reflectance product.
HDF-EOS2
L2
MOD07L2
MODIS Atmospheric Profiles 5-Min L2 Swath 5km
The MODIS Atmospheric Profiles product consists of several parameters: they are total-ozone burden, atmospheric stability, temperature and moisture profiles, and atmospheric water vapor. All of these parameters from data are produced day and night for Level 2 at 5 x 5 1-km pixel resolution when at least 9 FOVs are cloud free because of more noise in the relevant bands (bands 33-36). Using Aqua MODIS profiles may be produced at 1-km pixel resolution when cloud-free.
HDF-EOS2
L2
MOD10L2
MODIS Snow Cover 5-Min L2 Swath 500m
The MODIS Snow Cover product suite is composed of products covering a range of spatial and temporal resolutions, from 500 m to 0.25°, and from swath to daily, to 8-day to monthly. All products provide fractional snow cover, and snow albedo is provided in the 500-m resolution products, and all have been validated to stage 1 or 2. The overall absolute accuracy of the 500-m resolution products is ~93%, varying by land cover and snow condition. The snow products are used by climatologists, and by modelers both as input to hydrological models, e.g., to develop snow-cover depletion curves, and to compare with GCM output.
HDF-EOS2
L2
MOD11L2
MODIS Land Surface Temperature and Emissivity 5-Minute L2 Swath 1km
The MODIS Land Surface Temperature and Emissivity product contains Level 2 and 3 LST and emissivity retrieved from MODIS data at spatial resolutions of 1 km and 5 km over global land surfaces under clear-sky conditions. The generalized split-window LST algorithm will be used to retrieve LST for MODIS pixels with known emissivities in bands 31 and 32. The physicsbased day/night LST algorithm will be used to simultaneously retrieve surface band emissivities and temperatures from a pair of daytime and nighttime MODIS observations in bands 20, 22, 23, 29, and 31-33 over all types of land cover.
HDF-EOS2
L2
MOD13L2
MODIS Gridded Vegetation Indices (NDVI & EVI)
MODIS core mission, standard VI products include the normalize difference vegetation index (NDVI) and the enhanced vegetation index (EVI) to effectively characterize biophysical/ biochemical states and processes from vegetated surfaces. There exists a complete, global time series record of 6 VI products from each of the Terra and Aqua MODIS sensors, at varying spatial (250m, 1km, 0.05 degree) and temporal (16-day, monthly) resolutions to meet the needs of the research and application communities. The VI products are validated with accuracies depicted by a pixel reliability flag and with globally averaged uncertainties of 0.015 units.
HDF-EOS2
L2
MOD14L2
MODIS Thermal Anomalies - Fires and Biomass Burning
The MODIS Thermal Anomalies product includes fire occurrence (day/night), fire location, the logical criteria used for the fire selection, and an energy calculation for each fire. The product also includes composite 8-day-and-night fire occurrence (full resolution), composite monthly day-and-night fire occurrence (full resolution), gridded 10-km summary per fire class (daily/8-day/monthly), and a gridded 0.5° summary of fire counts per class (daily/8-day/ monthly). The Level 2 product includes various firerelated parameters including the occurrence of day and nighttime thermal anomalies, flagged and grouped into different temperature classes with emitted energy from the fire. These parameters are retrieved daily at 1-km resolution.
HDF-EOS2
L2
MOD29L2
MODIS Sea Ice Cover
The MODIS Sea Ice product suite is composed of products at a range of spatial and temporal resolutions, from 1 km to 0.05° (or ~4 km), and temporal resolutions ranging from swath to daily. The sea ice products provide sea ice extent and ice-surface temperature (IST) during daylight and darkness on a polar grid (EASE-Grid). The sea ice products are validated to stage 1 (IST) or stage 2 (extent). IST under frozen conditions is accurate to 1.6K.
HDF-EOS2
L2
MOD35L2
MODIS Cloud Mask
The MODIS cloud mask product indicates whether a pixel is unobstructed between the surface and satellite. The product provides 48 bits of output per 1-km pixel that includes information on sets of multispectral test results (from 19 MODIS spectral bands), the decision tree used to arrive at the product, and limited ancillary information such as a land/ocean and snow/no snow flags. The first eight bits provide a summary sufficient for most applications. Additionally, the first two bits simply offer information in four categories: confident clear, probably clear, uncertain/probably cloudy, and cloudy.
HDF-EOS2
L2
MODCRL2
MODIS Surface Reflectance; Atmospheric Correction Algorithm Products
The MODIS Surface-Reflectance Product is computed from the MODIS Level 1B land bands 1, 2, 3, 4, 5, 6, and 7 (centered at 648 nm, 858 nm, 470 nm, 555 nm, 1240 nm, 1640 nm, and 2130 nm, respectively). The product is an estimate of the surface spectral reflectance for each band as it would have been measured at ground level if there were no atmospheric scattering or absorption.
HDF-EOS2
L2
MODOCL2
MODIS Sea Surface Temperature
This Level 2 and 3 product provides sea surface temperature at 1-km (Level 2) and 4.6 km, 36 km, and 1° (Level 3) resolutions over the global oceans. In addition, a quality-assessment parameter is included for each pixel. The Level 2 product is produced daily and consists of global day and night coverage every 24 hours. It is used to generate the gridded Level 3 products daily, 8-day weekly, monthly, and yearly for day and night conditions. A quality parameter is provided for each data set.
AIRS/AMSU-A Geolocated and Calibrated Brightness Temperatures
The AMSU-A level 1B data set contains AMSU-A calibrated and geolocated brightness temperatures in degrees Kelvin. This data set is generated from AMSU-A Level 1A digital numbers (DN), including 15 microwave channels in the 50 - 90 GHz and 23 - 32 GHz regions of the spectrum. A day's worth of data is divided into 240 scenes each of 6 minute duration. An AMSU-A scene contains 30 cross-track footprints in each of 45 along-track scanlines, for a total of 45 x 30 = 1350 footprints per scene. The AMSU-A is co-aligned with the AIRS instrument onboard the Aqua platform so that successive blocks of 3 x 3 AIRS footprints are contained within the AMSU-A footprint.
AMSU-A is primarily a temperature sounder that provides atmospheric information in the presence of clouds, which can be used to correct the AIRS infrared measurements for the effects of clouds. This is possible because non-precipitating clouds are for the most part transparent to microwave radiation, in contrast to visible and infrared radiation which are strongly scattered and absorbed by clouds. Combined with simultaneous measurements from the AIRS and HSB instruments, the calibrated AMSU-A brightness temperatures will also be used to initialize the surface temperature and atmospheric temperature profile required for the retrieval of the final AIRS geophysical products.
HDF-EOS2
L1B
AIRHSRTV
AIRS/AMSU-A Derived Atmospheric Vertical Profiles of Temperature and Water Vapour
The AIRS/AMSU-A Derived Atmospheric Vertical Profiles of Temperature and Water Vapour Level 2 product generated by University of Wisconsin-Madison CrIS, AIRS and IASI Hyperspectral Retrieval Software (UW_HSRTV) in HDF-5 format.
HDF-5
L2
AIRIBRAD
AIRS Infrared Geolocated and Calibrated Radiances
The AIRS Infrared (IR) Level 1B data set contains AIRS infrared calibrated and geolocated radiances in milliWatts/m^2/cm^-1/steradian. This data set is generated from AIRS level 1A digital numbers (DN), including 2378 infrared channels in the 3.74 to 15.4 micron region of the spectrum. A day's worth of AIRS data is divided into 240 scenes each of 6 minute duration. For the AIRS infrared measurements, an individual scene consists of 135 scanlines containing 90 cross-track footprints; thus there is a total of 135 x 90 = 12,150 footprints per AIRS IR scene.
HDF-EOS2
L1B
AIRVBRAD
AIRS Visible/Near Infrared Geolocated and Calibrated Radiances
The AIRS Visible/Near Infrared (VIS/NIR) level 1B data set contains AIRS visible and near-infrared calibrated and geolocated radiances in W/m^2/micron/steradian. This data set is generated from AIRS level 1A digital numbers (DN), including 4 channels in the 0.4 to 1.0 um region of the spectrum. A day's worth of AIRS data is divided into 240 scenes each of 6 minute duration. For the AIRS visible/near IR measurements, an individual scene contains 135 scanlines with a scanline containing 720 cross-track pixels and 9 along-track pixels; there is a total of 720 x 9 x 135 = 874,800 visible/near-IR pixels per scene.
AIRS employs a 49.5 degree crosstrack scanning with a 1.1 degree instantaneous field of view (IFOV) to provide twice daily (day and night) coverage of essentially the entire globe in a 1:30 PM sun synchronous orbit from a 705 km altitude. The primary purpose of the visible/near IR channels is the detection and flagging of significant inhomogeneities in the AIRS infrared field-of-view,which may adversely impact the quality of the temperature and moisture soundings. The AIRS VIS/NIR channels will also be used for comparative studies with the higher resolution MODIS channels contained within this spectral region.
AVHRR L1B Calibrated and Navigated Radiance, 1km Swath
This level 1B dataset includes calibrated radiances or reflectances for bands 1,2 & 3A and brightness temperatures for bands 3B, 4 & 5. Geolocation is included as Latitude & Longitude or every pixel, sensor scan angles and scan line times.
HDF-4
L1B
AVHRL2
AVHRR L2 Products, 1km Swath
This level 2 dataset includes a land/sea/cloud mask, SST, LST, NDVI, cloud type, cloud fraction, cloud top temperature & height, hot-spots, volcanic ash and atmospheric constituent concentrations. Geolocation is included as Latitude & Longitude or every pixel, sensor scan angles and scan line times.
