Description Usage Arguments Value Author(s) References See Also Examples
Takes a cloudcount raster, and a number-of-observations raster, and makes a fraction cloud product.
1 2 3 | make_cloudcount_product(master_bitgridvalsCC,
master_bitgridvals0, num_its, grd, xdim_new, ydim_new,
countzeros = FALSE)
|
master_bitgridvalsCC |
Cloud count raster |
master_bitgridvals0 |
Raster indicating the count of valid observations |
num_its |
The total number of images or files, i.e. the number of attempts to see clouds |
grd |
An input grid with the appropriate projection and extent to match the rasters |
xdim_new |
The x-dimension (in # of pixels; i.e. # of columns) of the input/output grids |
ydim_new |
The y-dimension (in # of pixels; i.e. # of rows) of the input/output grids |
countzeros |
Should zeros be counted? TRUE or FALSE |
grd_final
, a grid with fraction cloudy
Nicholas J. Matzke matzke@berkeley.edu
Ackerman S, Frey R, Strabala K, Liu Y, Gumley L, Baum B and Menzel P (2010). "Discriminating clear-sky from cloud with MODIS algorithm theoretical basis document (MOD35)." MODIS Cloud Mask Team, Cooperative Institute for Meteorological Satellite Studies, University of Wisconsin - Madison. <URL: http://modis-atmos.gsfc.nasa.gov/_docs/MOD35_ATBD_Collection6.pdf>.
GoldsmithMatzkeDawson2013
1 | # For examples, see the function numslist_to_grd()
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