Help for MASTEREMIS

PURPOSE:
     MASTEREMIS is a program to generate spectral emissivity images from
calibrated MASTER data. The primary input dataset should be the 10 calibrated
(IRAD or GRAD) MASTER TIR channels. The first output will contain the 10
spectral emittance images, while the second output will contain the temperature
image.
     Three algorithms (MODEs) have presently been implemented. The first 
method, called REFCHAN, sets a specified reference channel to a specified 
constant emittance value. The default sets Channel 50 to 0.95. The temperature
is computed based upon the radiance and given emittance of the reference 
channel, then the other nine spectral emittances are computed, using this 
temperature.
     The second method, called BBFIT, assumes that the highest spectral
emittance is at a user-specified level (default = 0.95). It then computes the
highest temperature consistent with this assumption, and the ten spectral
emittances, based upon the computed temperature.
     The third method, called 8CHANFIT, is the same as BBFIT, except that
Bands 41 and 50 are not used when searching for the channel to set to the
specified emittance.

WRITTEN BY:               Ron Alley     7/13/01
COGNIZANT PROGRAMMER:     Ron Alley

REVISION:                 1.2           11/10/04

PARAMETERS:


INP

(1) MASTER TIR (10 channel) radiance image (RAD) i.e., the output file from MASTERTIR (2) MASTER Radiance lookup table (3) MASTER Temperature lookup table

OUT

(1) Spectral emittance image (2) Temperature image

SIZE

The standard VICAR output size field.

SL

Starting line

SS

Starting sample

NL

Number of lines

NS

Number of samples

REFCHAN

(For REFCHAN mode only) The channel to be used as the reference channel. Valid: (41:50)

FITCHAN

(For BBFIT and 8CHANFIT modes only) Specified EMIS value is for the Nth (FITCHANth) highest emissivity

EMIS

The emittance assumed for the reference channel (REFCHAN mode); or the maximum emittance (BBFIT or 8CHANFIT mode)

MODE

REFCHAN, BBFIT, or 8CHANFIT

ORG

Organization of output dataset

See Examples:


Cognizant Programmer: