MODIS/Terra Vegetation Continuous Fields Yearly L3 Global 500m ISIN Grid
MOD44B
Version
Acquisition Range
Science Quality Status
V003
November 1 2000 (2000305)
Validated Stage 1
Data Set Characteristics
Area = ~ 10° x 10° lat/long
Image Dimensions = 2 (2400x2400 row/column)
Average File Size = 66 MB
Resolution = 500 meters
Projection = Integerized Sinusoidal
Data Format = HDF-EOS
Science Data Sets (SDSs) = 12
Product Description
Proportional estimates of cover are developed from global training data derived using high-resolution imagery. The training data and phenological metrics are used with a regression tree to derive percent cover globally. The model is then used to estimate aerial proportions of:
1) life form (proportion of woody vegetation, herbaceous vegetation, or bare
ground),
2) leaf type (proportion of woody vegetation that is needleleaf or broadleaf)
3) leaf longevity (proportion of woody vegetation that is evergreen or
deciduous).
The current version of the MODIS Vegetation Continuous Fields product contains only percent tree cover, percent nontree vegetation, and percent bare with the other layers to follow in later releases. This product was generated from monthly composites of 500 meter resolution MODIS data. The MOD09A1 Surface Reflectance 8 day composites were used as inputs to the 32 day composites. Compositing was based on the
second darkest albedo to remove clouds and cloud shadow. All 7 500m bands were used to derive metrics for the calculation of percent tree cover with metrics derived from bands 1 and 3 providing the most discriminatory power.
The image displays the percent tree cover in the northern part of Brazil along the Amazon River composited between November and December 2001. Green values represent increasing percentages per 500m pixel of tree cover, and yellow to brown values show decreasing percentages.
NOTE: These products are provisional, meaning that product quality may not be optimal. Incremental product improvements are still occurring, and users are urged to contact MODIS Science Team representatives prior to use of the data in publications. These data are likely to be replaced when the validated product becomes available.
LP DAAC User Services
U.S. Geological Survey (USGS)
Earth Resources Observation and Science Center (EROS)
47914 252nd Street
Sioux Falls, SD 57198-0001