Posts Tagged ‘ Remote Sensing ’

unsupervised classification of a Landsat image in R: the whole story or part two

August 1, 2012
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unsupervised classification of a Landsat image in R: the whole story or part two

The main question when using remote sensed raster data, as we do, is the question of NaN-treatment. Many R functions are able to use an option like rm.NaN=TRUE to treat these missing values. In our case the kmeans function in R is not capable to use such a parameter. After reading the tif-files and creating

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unsupervised classification of a raster in R: the layer-stack or part one.

July 29, 2012
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unsupervised classification of a raster in R: the layer-stack or part one.

In my last post I was explaining the usage of QGis to do a layerstack of a Landsat-scene. Due to the fact that further research and trying out resulted in frustration I decided to stick with a software I know well: R. So download the needed layers here and open up your flavoured version of

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Extracting reflectance data from SpectraSuite JCAMP files in R

May 6, 2011
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Extracting reflectance data from SpectraSuite JCAMP files in R

I've been using an OceanOptics USB4000 spectrometer in research on biomass accumulation and climate in South Africa.This post presents a R function that will read in JCAMP files from the SpectraSuite software and output a vector of reflectance values.&...

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