Export several columns from the Rdata-File of the LUCAS Topsoil Database 2009 to CSV files.

The LUCAS 2009 TOPSOIL database is a rich dataset consisting of hyperspectral reflectance data and various soil properties data like clay, silt and sand content. This Python script extracts the several columns from the RData-file. I uploaded this script since there are no working examples for this file available yet.

The following columns are extracted:

• sample.ID: ID of the soil sample
• date: date and time
• spc: hyperspectral data
• clay: clay content in percentage
• silt: silt content in percentage
• sand: sand content in percentage
• GPS_LAT: GPS latitude
• GPS_LONG: GPS longitude

Link to the LUCAS Topsoil database: https://esdac.jrc.ec.europa.eu/content/lucas-2009-topsoil-data

For this script, the following Python 3.x packages are needed:

• rpy2
• numpy
• pandas

import lucas2csv as l2csv

lucas2csv(
    path_to_rdata_file="path/to/rdata",
    output_path="output/path/",
    verbose=1)