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ASIP (version 0.4.9)

Automated Satellite Image Processing

Description

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) . ii. Roy et.al, (2014) . iii. Abrams (2000) .

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Version

Install

install.packages('ASIP')

Monthly Downloads

39

Version

0.4.9

License

GPL-3

Maintainer

M Riyas

Last Published

May 11th, 2018

Functions in ASIP (0.4.9)

crop.bands

Cropping of satellite image bands
arvi

Atmospherically Resistant Vegetation Index
multi.indices

Produce multiple indices
msavi

Modified soil adjusted vegetation index
custom.eqn

Make your own custom satellite image product
ndbi

Normalized Difference Built-up Index
dn2toa

DN to TOA conversion of optical bands
gemi

Global Environmental Monitoring Index
ndvi

Normalized Difference Vegetation Index
gvmi

Global Vegetation Moisture Index
sen2_msi

Make your own custom Sentinel-2 MSI satellite image products
thermal

TIR bands to at satellite brightness temperature conversion
ndwi

Normalized Difference Water Index
pavi

Purified Adjusted Vegetation Index