Analyzing Remote Sensing Data in R: The landsat Package

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.

[1]  R. J. Kauth,et al.  The Tasseled Cap de-mystified , 1986 .

[2]  S. Goetz,et al.  Radiometric rectification - Toward a common radiometric response among multidate, multisensor images , 1991 .

[3]  B. Markham,et al.  Summary of Current Radiometric Calibration Coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI Sensors , 2009 .

[4]  E. Crist.  A TM Tasseled Cap equivalent transformation for reflectance factor data , 1985 .

[5]  P. Chavez.  Image-Based Atmospheric Corrections - Revisited and Improved , 1996 .

[6]  David John Unwin,et al.  Introductory Spatial Analysis , 1982 .

[7]  P. Teillet,et al.  On the Slope-Aspect Correction of Multispectral Scanner Data , 1982 .

[8]  S. Sandmeier,et al.  Radiometric corrections of topographically induced effects on Landsat TM data in an alpine environment , 1993 .

[9]  William J. Volchok,et al.  Radiometric scene normalization using pseudoinvariant features , 1988 .

[10]  P. Chavez.  Radiometric calibration of Landsat Thematic Mapper multispectral images , 1989 .

[11]  P. Chavez.  An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data , 1988 .

[12]  Hermann Kaufmann,et al.  Comparison of Topographic Correction Methods , 2009, Remote. Sens..

[13]  J. Colby,et al.  Topographic Normalization in Rugged Terrain , 1991 .

[14]  D. Civco.  Topographic normalization of landsat thematic mapper digital imagery , 1989 .

[15]  Wanchang Zhang,et al.  LULC Classification and Topographic Correction of Landsat-7 ETM+ Imagery in the Yangjia River Watershed: the Influence of DEM Resolution , 2009, Sensors.

[16]  Keith C. Clarke,et al.  Spatial Resolution and Algorithm Choice as Modifiers of Downslope Flow Computed from Digital Elevation Models , 2007 .

[17]  M. Minnaert.  The reciprocity principle in lunar photometry , 1941 .

[18]  Edzer J. Pebesma,et al.  Applied Spatial Data Analysis with R - Second Edition , 2008, Use R!.

[19]  David Riaño,et al.  Assessment of different topographic corrections in Landsat-TM data for mapping vegetation types (2003) , 2003, IEEE Trans. Geosci. Remote. Sens..

[20]  Jindong Wu,et al.  Image-based atmospheric correction of QuickBird imagery of Minnesota cropland , 2005 .

[21]  Limin Yang,et al.  Derivation of a tasselled cap transformation based on Landsat 7 at-satellite reflectance , 2002 .

[22]  C. Woodcock,et al.  Classification and Change Detection Using Landsat TM Data: When and How to Correct Atmospheric Effects? , 2001 .

[23]  A. Gillespie,et al.  Topographic Normalization of Landsat TM Images of Forest Based on Subpixel Sun–Canopy–Sensor Geometry , 1998 .