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Daily Products
MCD43A4.006 MODIS Nadir BRDF-Adjusted Reflectance Daily 500m
The MCD43A4 V6 Nadir Bidirectional Reflectance Distribution Function
Adjusted Reflectance (NBAR) product provides 500 meter reflectance data of the
MODIS "land" bands 1-7. These are adjusted using a bidirectional reflectance distribution
function to model the values as if they were collected from a nadir view. The
data are produced daily based on a 16-day retrieval period, with the image's date
occurring on the 9th day. This product combines data from both the Terra and Aqua
spacecrafts, choosing the best representative pixel from the 16-day period.
The MCD43A3 V6 Albedo Model dataset is a daily 16-day product. It provides
both directional hemispherical reflectance (black sky albedo) and bihemispherical
reflectance (white sky albedo) for each of the MODIS surface reflectance bands
(band 1 through band 7) as well as 3 broad spectrum bands (visible, near infrared,
and shortwave). Each 500m/pixel daily image is generated using 16 days of data,
centered on the given day. A quality band is also provided for each of the 10
albedo bands.
The MCD43A2 V6 Bidirectional Reflectance Distribution Function and
Albedo (BRDF/Albedo) Quality dataset is a 500 meter daily 16-day product. It contains
all the quality information for the corresponding 16-day MCD43A3 Albedo and the
MCD43A4 Nadir-BRDF (NBAR) products. The MCD43A2 contains individual band quality
and observation information for the MODIS land bands 1-7, along with the overall
BRDF/Albedo quality information.
MOD09GQ.006 Terra Surface Reflectance Daily Global 250m
The MODIS Surface Reflectance products provide an estimate of the surface
spectral reflectance as it would be measured at ground level in the absence of
atmospheric scattering or absorption. Low-level data are corrected for atmospheric
gases and aerosols. MOD09GQ version 6 provides bands 1 and 2 at a 250m resolution
in a daily gridded L2G product in the Sinusoidal projection, including a QC and
five observation layers. This product is meant to be used in conjunction with
the MOD09GA where important quality and viewing geometry information is stored.
The MOD10A1 V6 Snow Cover Daily Global 500m product contains snow cover,
snow albedo, fractional snow cover, and quality assessment (QA) data. Snow cover
data are based on a snow mapping algorithm that employs a Normalized Difference
Snow Index (NDSI) and other criteria tests.
MOD11A1.006 Terra Land Surface Temperature and Emissivity Daily Global 1km
The MOD11A1 V6 product provides daily land surface temperature (LST)
and emissivity values in a 1200 x 1200 kilometer grid. The temperature value is
derived from the MOD11_L2 swath product. Above 30 degrees latitude, some pixels
may have multiple observations where the criteria for clear-sky are met. When
this occurs, the pixel value is the average of all qualifying observations. Provided
along with both the day-time and night-time surface temperature bands and their
quality indicator layers are MODIS bands 31 and 32 and six observation layers.
MOD09GA.006 Terra Surface Reflectance Daily Global 1km and 500m
The MODIS Surface Reflectance products provide an estimate of the surface
spectral reflectance as it would be measured at ground level in the absence of
atmospheric scattering or absorption. Low-level data are corrected for atmospheric
gases and aerosols. MOD09GA version 6 provides bands 1-7 in a daily gridded L2G
product in the sinusoidal projection, including 500m reflectance values and 1km
observation and geolocation statistics.
MODOCGA.006 Terra Ocean Reflectance Daily Global 1km
The MODOCGA V6 ocean reflectance product consists of 1 kilometer reflectance
data from Terra MODIS bands 8-16. The product is referred to as ocean reflectance,
because bands 8-16 are used primarily to produce ocean products, but this is not
an ocean product as the tiles produced are land tiles.
MOD14A1.006: Terra Thermal Anomalies & Fire Daily Global 1km
The MOD14A1 V6 dataset provides daily fire mask composites at 1km resolution
derived from the MODIS 4- and 11-micrometer radiances. The fire detection strategy
is based on absolute detection of a fire (when the fire strength is sufficient
to detect), and on detection relative to its background (to account for variability
of the surface temperature and reflection by sunlight). The product distinguishes
between fire, no fire and no observation. This information is used for monitoring
the spatial and temporal distribution of fires in different ecosystems, detecting
changes in fire distribution and identifying new fire frontiers, wild fires, and
changes in the frequency of the fires or their relative strength.
MCD43A1.006 MODIS BRDF-Albedo Model Parameters Daily 500m
The MCD43A1 V6 Bidirectional Reflectance Distribution Function and
Albedo (BRDF/Albedo) Model Parameters dataset is a 500 meter daily 16-day product.
The Julian date represents the 9th day of the 16-day retrieval period, and consequently
the observations are weighted to estimate the BRDF/Albedo for that day. The MCD43A1
algorithm, as is with all combined products, chooses the best representative pixel
from a pool that includes all the acquisitions from both the Terra and Aqua sensors
from the retrieval period. The MCD43A1 provides the three model weighting parameters
(isotropic, volumetric, and geometric) for each of the MODIS bands 1 through 7
and the visible (vis), near infrared (nir), and shortwave bands used to derive
the Albedo and BRDF products (MCD43A3 and MCD43A4). The Mandatory Quality layers
for each of the 10 bands are supplied as well.
MCD15A3H.006 MODIS Leaf Area Index/FPAR 4-Day Global 500m
The MCD15A3H V6 level 4, Combined Fraction of Photosynthetically Active
Radiation (FPAR), and Leaf Area Index (LAI) product is a 4-day composite data
set with 500 meter pixel size. The algorithm chooses the "best" pixel available
from all the acquisitions of both MODIS sensors located on NASA's Terra and Aqua
satellites from within the 4-day period.
MOD09Q1.006 Terra Surface Reflectance 8-Day Global 250m
The MOD09Q1 product provides an estimate of the surface spectral reflectance
of bands 1 and 2 at 250m resolution and corrected for atmospheric conditions such
as gasses, aerosols, and Rayleigh scattering. Along with the two reflectance bands,
a quality layer is also included. For each pixel, a value is selected from all
the acquisitions within the 8-day composite on the basis of high observation coverage,
low view angle, the absence of clouds or cloud shadow, and aerosol loading.
MOD09A1.006 Terra Surface Reflectance 8-Day Global 500m
The MOD09A1 V6 product provides an estimate of the surface spectral
reflectance of Terra MODIS bands 1-7 at 500m resolution and corrected for atmospheric
conditions such as gasses, aerosols, and Rayleigh scattering. Along with the seven
reflectance bands is a quality layer and four observation bands. For each pixel,
a value is selected from all the acquisitions within the 8-day composite on the
basis of high observation coverage, low view angle, the absence of clouds or cloud
shadow, and aerosol loading.
MOD11A2.006 Terra Land Surface Temperature and Emissivity 8-Day Global 1km
The MOD11A2 V6 product provides an average 8-day land surface temperature
(LST) in a 1200 x 1200 kilometer grid. Each pixel value in MOD11A2 is a simple
average of all the corresponding MOD11A1 LST pixels collected within that 8 day
period. The 8 day compositing period was chosen because twice that period is the
exact ground track repeat period of the Terra and Aqua platforms. In this product,
along with both the day- and night-time surface temperature bands and their quality
indicator (QC) layers, are also MODIS bands 31 and 32 and eight observation layers.
MOD14A2.006: Terra Thermal Anomalies & Fire 8-Day Global 1km
The MOD14A2 V6 dataset provides 8-day fire mask composites at 1km resolution.
It contains the maximum value of the individual pixel classes over the compositing
period. Along with the fire mask, an associated quality information layer is also
provided.
MOD17A2H.006: Terra Gross Primary Productivity 8-Day Global 500m
The MOD17A2H V6 Gross Primary Productivity (GPP) product is a cumulative
8-day composite with a 500m resolution. The product is based on the radiation-use
efficiency concept and can be potentially used as inputs to data models to calculate
terrestrial energy, carbon, water cycle processes, and biogeochemistry of vegetation.
MOD16A2.006: Terra Net Evapotranspiration 8-Day Global 500m
The MOD16A2 Version 6 Evapotranspiration/Latent Heat Flux product
is an 8-day composite product produced at 500 meter pixel resolution. The algorithm
used for the MOD16 data product collection is based on the logic of the Penman-Monteith
equation, which includes inputs of daily meteorological reanalysis data along
with MODIS remotely sensed data products such as vegetation property dynamics,
albedo, and land cover. The pixel values for the two Evapotranspiration layers
(ET & PET) are the sum of all eight days within the composite period. The pixel
values for the two Latent Heat layers (LE & PLE) are the average of all eight
days within the composite period. Note that the last 8-day period of each year
is a 5 or 6-day composite period, depending on the year.
MOD13Q1.006 Terra Vegetation Indices 16-Day Global 250m
The MOD13Q1 V6 product provides a Vegetation Index (VI) value at a
per pixel basis. There are two primary vegetation layers. The first is the Normalized
Difference Vegetation Index (NDVI) which is referred to as the continuity index
to the existing National Oceanic and Atmospheric Administration-Advanced Very
High Resolution Radiometer (NOAA-AVHRR) derived NDVI. The second vegetation layer
is the Enhanced Vegetation Index (EVI) that minimizes canopy background variations
and maintains sensitivity over dense vegetation conditions. The EVI also uses
the blue band to remove residual atmosphere contamination caused by smoke and
sub-pixel thin cloud clouds. The MODIS NDVI and EVI products are computed from
atmospherically corrected bi-directional surface reflectances that have been masked
for water, clouds, heavy aerosols, and cloud shadows.
MOD13A1.006 Terra Vegetation Indices 16-Day Global 500m
The MOD13A1 V6 product provides a Vegetation Index (VI) value at a
per pixel basis. There are two primary vegetation layers. The first is the Normalized
Difference Vegetation Index (NDVI) which is referred to as the continuity index
to the existing National Oceanic and Atmospheric Administration-Advanced Very
High Resolution Radiometer (NOAA-AVHRR) derived NDVI. The second vegetation layer
is the Enhanced Vegetation Index (EVI) that minimizes canopy background variations
and maintains sensitivity over dense vegetation conditions. The EVI also uses
the blue band to remove residual atmosphere contamination caused by smoke and
sub-pixel thin cloud clouds. The MODIS NDVI and EVI products are computed from
atmospherically corrected bi-directional surface reflectances that have been masked
for water, clouds, heavy aerosols, and cloud shadows.
MOD13A2.006 Terra Vegetation Indices 16-Day Global 1km
The MOD13A2 V6 product provides two Vegetation Indices (VI): the Normalized
Difference Vegetation Index (NDVI) and the Enhanced Vegetation Index (EVI). The
NDVI is referred to as the continuity index to the existing National Oceanic and
Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR)
derived NDVI. The EVI has improved sensitivity over high biomass regions. The
algorithm for this product chooses the best available pixel value from all the
acquisitions from the 16-day period. The criteria used are low clouds, low view
angle, and the highest NDVI/EVI value.
The Terra and Aqua combined MCD64A1 Version 6 Burned Area data product
is a monthly, global gridded 500m product containing per-pixel burned-area and
quality information. The MCD64A1 burned-area mapping approach employs 500m MODIS
Surface Reflectance imagery coupled with 1km MODIS active fire observations. The
algorithm uses a burn sensitive vegetation index (VI) to create dynamic thresholds
that are applied to the composite data. The VI is derived from MODIS shortwave
infrared atmospherically corrected surface reflectance bands 5 and 7 with a measure
of temporal texture. The algorithm identifies the date of burn for the 500m grid
cells within each individual MODIS tile. The date is encoded in a single data
layer as the ordinal day of the calendar year on which the burn occurred, with
values assigned to unburned land pixels and additional special values reserved
for missing data and water grid cells.
MOD08_M3.006 Terra Atmosphere Monthly Global Product
MOD08_M3 V6 is an atmosphere global product that contains monthly 1
x 1 degree grid average values of atmospheric parameters. These parameters are
related to atmospheric aerosol particle properties, total ozone burden, atmospheric
water vapor, cloud optical and physical properties, and atmospheric stability
indices. The product also provides means, standard deviations, QA weighted statistics,
log-normal distributions, uncertainty estimates, and statistics for fractions
of pixels that satisfy some condition. Below is a subset of the bands, for a complete
list see the [MOD08 Band List](https://developers.google.com/earth-engine/MOD08_bands.html).
MCD12Q1.006 MODIS Land Cover Type Yearly Global 500m
The MCD12Q1 V6 product provides global land cover types at yearly
intervals (2001-2016) derived from six different classification schemes. It is
derived using supervised classifications of MODIS Terra and Aqua reflectance data.
The supervised classifications then undergo additional post-processing that incorporate
prior knowledge and ancillary information to further refine specific classes.
MOD17A3H.006: Terra Net Primary Production Yearly Global 500m
The MOD17A3H V6 product provides information about annual Net Primary
Productivity (NPP) at 500m pixel resolution. Annual NPP is derived from the sum
of the 45 8-day Net Photosynthesis (PSN) products (MOD17A2H) from the given year.
The PSN value is the difference of the GPP and the Maintenance Respiration (MR)
(GPP-MR). This is a NASA version of this product. Another version is produced
by the Numerical Terradynamic Simulation Group (NTSG),
University of Montana (UMT). The NTSG version corrects the problem with cloud-contaminated
MODIS LAI-FPAR inputs to the MOD17 algorithm, but its resolution is 1km. It is
ingested into Earth Engine as MODIS/055/MOD17A3.
MOD44W.006 Terra Land Water Mask Derived from MODIS and SRTM Yearly Global 250m
The MOD44W V6 land/water mask 250m product is derived using a decision
tree classifier trained with MODIS data and validated with the MOD44W V5 product.
A series of masks are applied to address known issues caused by terrain shadow,
burn scars, cloudiness, or ice cover in oceans.
