Published by the Foundation for Open Access Statistics
Editors-in-chief: Bettina GrĂ¼n, Edzer Pebesma & Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Analyzing Remote Sensing Data in R: The landsat Package | Goslee | Journal of Statistical Software
Authors: Sarah C. Goslee
Title: Analyzing Remote Sensing Data in R: The landsat Package
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.

Page views:: 24760. Submitted: 2010-09-29. Published: 2011-07-25.
Paper: Analyzing Remote Sensing Data in R: The landsat Package     Download PDF (Downloads: 24905)
landsat_1.0.4.tar.gz: R source package Download (Downloads: 1242; 968KB)
v43i04.R: R example code from the paper Download (Downloads: 1173; 15KB)
erratum-2012-01-08.txt: Erratum Download (Downloads: 1011; 392B)

DOI: 10.18637/jss.v043.i04

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.