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Authors: Sarah C. Goslee
Title: [download]
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Analyzing Remote Sensing Data in R: The landsat Package
Reference: Vol. 43, Issue 4, Jul 2011
Submitted 2010-09-29, Accepted 2011-06-16
Type: Article
Abstract:

Research and development on atmospheric and topographic correction methods for multispectral satellite data such as Landsat images has far outpaced the availability of those methods in geographic information systems software. As Landsat and other data become more widely available, demand for these improved correction methods will increase. Open source R statistical software can help bridge the gap between research and implementation. Sophisticated spatial data routines are already available, and the ease of program development in R makes it straightforward to implement new correction algorithms and to assess the results. Collecting radiometric, atmospheric, and topographic correction routines into the landsat package will make them readily available for evaluation for particular applications.

Paper: [download]
(16334)
Analyzing Remote Sensing Data in R: The landsat Package
(application/pdf, 1.7 MB)
Supplements: [download]
(933)
landsat_1.0.4.tar.gz: R source package
(application/x-gzip, 968.4 KB)
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(850)
v43i04.R: R example code from the paper
(application/octet-stream, 15.4 KB)
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erratum-2012-01-08.txt: Erratum
(text/plain, 403 Bytes)
Resources: BibTeX | OAI
Creative Commons License
This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3)
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