Oceanographic Analysis with R by Dan E. Kelley

Oceanographic Analysis with R by Dan E. Kelley

Author:Dan E. Kelley
Language: eng
Format: epub, pdf
ISBN: 9781493988440
Publisher: Springer New York


5.8 Satellites

Specialized software is typically used to analyse satellite data , but R can help with many tasks, providing benefits relating to flexibility of processing and integration of different data types. The landsat package (Goslee 2011) supports Landsat 5 and Landsat 7 datasets, with functions for such things as data input, plotting, conversion from engineering units to physical units, image registration, and cloud detection. At the time of writing, the landsat package was unable to deal with the data from newly launched Landsat 8 satellite, so some basic support was added to the oce package, as will be illustrated with a temperature calculation here.

The oce package provides a sample Landsat 8 dataset named landsat . This is a wintertime view of Nova Scotia and surrounding waters, decimated to a 1 km grid to speed processing. All 11 wavelength bands are available, but the present focus is restricted to tirs1, the first band of the thermal infrared sensor. Spanning wavelengths from 10.6 to 11.2 μm, this band may be used to estimate temperature,11 making it broadly relevant to oceanography.

Landsat data are stored in two-byte values (or “counts”) that must be converted to physical units. The left panel of Fig. 5.14 shows the result of estimating the at-satellite brightness temperature using



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