STARFM_PARAMETER_START
# number of input pairs of fine and coarse resolution image
  NUM_IN_PAIRS = 1
# input coarse resolution data (saved in 2 bytes / pixel)
  IN_PAIR_MODIS_FNAME = /home/ubuntu/prueba/StarFM/Prueba_3/modgq_2011001u16_nir.dat
# input fine resolution data
  IN_PAIR_LANDSAT_FNAME = /home/ubuntu/prueba/StarFM/Prueba_3/l7201101_sr_nir.dat
# optional mask file for Landsat
        IN_PAIR_LANDSAT_MASK = NONE
# coarse resolution data for the prediction day
  IN_PDAY_MODIS_FNAME = /home/ubuntu/prueba/StarFM/Prueba_3/modgq_2011009u16_nir.dat
# the output fine resolution prediction 
  OUT_PDAY_LANDSAT_FNAME = /home/ubuntu/prueba/StarFM/Prueba_3/l72011009_nir_predi2.bin
# number of rows (same for all inputs)
  NROWS = 854
# number of columns (same for all inputs)
  NCOLS = 477
# spatial resolution (same for all inputs), coarse resolution data 
# should first be resampled to fine resolution
  RESOLUTION = 30
# define data scale factor 
  SCALE_FACTOR = 10000
# define metadata for fine resolution input 
  LANDSAT_FILLV = -9999
  LANDSAT_DATA_RANGE = 0, 10000
  LANDSAT_UNCERTAINTY = 50
# define metadata for coarse resolution input
  MODIS_FILLV = -9999
  MODIS_DATA_RANGE = 0, 10000 
  MODIS_UNCERTAINTY = 50
# 1 = use spatial information (suggested)
# 0 = not use spatial information (just use information from current pixel)
  USE_SPATIAL_FLAG = 1
# maximum distance to searching for the spatial information 
  MAX_SEARCH_DISTANCE = 1000
# number of slice for spectral similar testing
  NUM_SLICE_PURE_TEST = 50
STARFM_PARAMETER_END