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LSRS  

Land Surface Remote Sensing
View on CRAN: Click here


Download and install LSRS package within the R console
Install from CRAN:
install.packages("LSRS")

Install from Github:
library("remotes")
install_github("cran/LSRS")

Install by package version:
library("remotes")
install_version("LSRS", "0.2.0")



Attach the package and use:
library("LSRS")
Maintained by
Mehdi Sarparast
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-11-13
Latest Update: 2018-03-07
Description:
Rapid satellite data streams in operational applications have clear benefits for monitoring land cover, especially when information can be delivered as fast as changing surface conditions. Over the past decade, remote sensing has become a key tool for monitoring and predicting environmental variables by using satellite data. This package presents the main applications in remote sensing for land surface monitoring and land cover mapping (soil, vegetation, water...). Tomlinson, C.J., Chapman, L., Thornes, E., Baker, C (2011) .
How to cite:
Mehdi Sarparast (2017). LSRS: Land Surface Remote Sensing. R package version 0.2.0, https://cran.r-project.org/web/packages/LSRS. Accessed 06 Nov. 2024.
Previous versions and publish date:
0.1.0 (2017-11-13 10:23)
Other packages that cited LSRS R package
View LSRS citation profile
Other R packages that LSRS depends, imports, suggests or enhances
Complete documentation for LSRS
Functions, R codes and Examples using the LSRS R package
Some associated functions: C.factor . EBBI . EVI . MSAVI . NBR . NBR2 . NDMI . NDVI . SAVI . TGSI . 
Some associated R codes: lsmake.R .  Full LSRS package functions and examples
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