Efficiently perform complex satellite image processes automatically with minimum inputs.
Functions facilitate more controls on the user to specify how the function needs to be executed by offering more customization options and provide more functionalities.
The functions are designed to identify the type of input satellite images and perform accordingly.
Also, some functions are giving options to perform multiple satellite data (even from different types) in single run.
Package currently supports satellite images from most widely used Landsat 4,5,7 and 8 and ASTER L1T data.
The primary applications of this package are given below.
1. Conversion of optical bands to top of atmosphere reflectance.
2. Conversion of thermal bands to corresponding temperature images.
3. Derive application oriented products directly from source satellite image bands.
4. Compute user defined equation and produce corresponding image product.
5. Other basic tools for satellite image processing.
REFERENCES.
i. Chander and Markham (2003) <doi:10.1109/TGRS.2003.818464>.
ii. Roy et.al, (2014) <doi:10.1016/j.rse.2014.02.001>.
iii. Abrams (2000) <doi:10.1080/014311600210326>.

Perform complex satellite image processes automatically and efficiently. Package currently supports satellite images from most widely used Landsat 4,5,7 and 8 and ASTER L1T data. The primary uses of this package is given below.
1. Conversion of optical bands to top of atmosphere reflectance.
2. Conversion of thermal bands to corresponding temperature images.
3. Derive application oriented products directly from source satellite image bands.
4. Compute user defined equation and produce corresponding image product.
5. Other basic tools for satellite image processing.
References.
i. Chander and Markham (2003) <doi:10.1109/TGRS.2003.818464>.
ii. Roy et.al, (2014) <doi:10.1016/j.rse.2014.02.001>.
iii. Abrams (2000) <doi:10.1080/014311600210326>.

Efficiently perform complex satellite image processes automatically with minimum inputs.
Functions are providing more control on the user to specify how the function needs to be executed by offering more customization options and facilitate more functionalities.
The functions are designed to identify the type of input satellite images and perform accordingly.
Also, some functions are giving options to perform multiple satellite data (even from different types) in single run.
Package currently supports satellite images from most widely used Landsat 4,5,7 and 8 and Sentinel-2 MSI data.
The primary applications of this package are given below.
1. Conversion of optical bands to top of atmosphere reflectance.
2. Conversion of thermal bands to corresponding temperature images.
3. Derive application oriented products directly from source satellite image bands.
4. Compute user defined equation and produce corresponding image product.
5. Other basic tools for satellite image processing.
REFERENCES.
i. Chander and Markham (2003) <doi:10.1109/TGRS.2003.818464>.
ii. Roy et.al, (2014) <doi:10.1016/j.rse.2014.02.001>.
iii. Abrams (2000) <doi:10.1080/014311600210326>.