R packages - Aug 2018 - New package rLandsat: Get ready-to-use satellite data in R

Hello useRs,

A new package rLandsat has been released on CRAN which makes satellite data
more accessible, helping to download the Landsat data with a couple of
lines of code.

rLandsat makes it easy to search for Landsat8 product IDs, place an order
on USGS-ESPA and download the Landsat data in R along with the meta
information in the perfect format.

Landsat is without a doubt one of the best sources of free satellite data
today. Managed by NASA and the United States Geological Survey, the Landsat
satellites have been capturing multi-spectral imagery for over 40 years.
The latest satellite, Landsat 8, orbits the Earth every 16 days and
captures more than 700 satellite images per day across 9 spectral bands and
2 thermal bands. Its imagery has been used for everything from finding
drought-prone areas and monitoring coastal erosion to analyzing an area?s
fire probability and setting the best routes for electricity lines.

Let's start using and analysing  the Landsat data more, and come up with
interesting results and use cases.

More information from the data and the package:
https://blog.socialcops.com/technology/data-science/announcing-rlandsat-landsat-8-data/
CRAN link: https://cran.r-project.org/web/packages/rLandsat/
Issues and suggestions are welcome, and can be logged at the package GitHub
repository: https://github.com/socialcopsdev/rLandsat

Regards,
Himanshu Sikaria
Email: himanshu.sikaria at socialcops.com

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