r2dRue (version 1.0.3)

rueObsEx: Functions to perform the assessment component of a r2dRue analysis through direct specification of parameters

Description

These functions compute Mean Observed RUE, Mean Observed Aridity, Extreme Observed RUE and Extreme Observed Aridity, and save the results to corresponding raster files. Their arguments can be manually specified, or they are piped from the assessment function.

Usage

rueObsMe(rainFl, viFl, silent = FALSE)
aiObsMe(rainFl, petFl, FAO = FALSE, silent = FALSE)
rueObsEx(rainFl, viFl, preRainFl, nMonths = 6, silent = FALSE)
aiObsEx(rainFl, viFl, petFl, preRainFl, prePetFl, FAO=FALSE, nMonths = 6, silent = FALSE)

Arguments

rainFl

Raster group file with the file names of the precipitation grids

viFl

Raster group file with the file names of the vegetation index grids

petFl

Raster group file with the file names of the evapotranspiration grids

preRainFl

Raster group file with the file names of the precipitation files preceding the given period

prePetFl

Raster group file with the file names of the evapotranspiration files preceding the given period

FAO

logical; If TRUE the index is according with the FAO definition

nMonths

A integer value representing the number of cumulative months for preceding precipitation. If a valid image filename is supplied, the value is read from the file.

silent

Logical. If TRUE, comment and non-fatal CPL driver errors are suppressed

Value

• The following raster files are created resulting from the assessment operation. They belong to the SpatialGridDataFrame class
• rueObsMe
  Mean Observed rain Use Efficiency
• rueObsEx
  Extreme Observed Rain Use Efficiency
• aiObsMe
  Mean Observed Aridity Index
• aiObsEx
  Extreme Observed Aridity Index

Details

rueObsMe compute mean observed RUE. aiObsMe compute mean observed aridity index. rueObsEx compute extreme observed RUE. aiObsEx compute extreme observed aridity index.

References

del Barrio, G., Puigdefabregas, J. Sanjuan, M.E., Stellmes, M. & Ruiz, A. (2010). Assessment and monitoring of land condition in the Iberian Peninsula, 1989-2000. Remote Sensing of Environment, 114: 1817-1832 http://dx.doi.org/10.1016/j.rse.2010.03.009

Examples

#not work...
#frain=rgf.read('rain.rgf')
#fpet=rgf.read('pet.rgf')
#fvi=rgf.read('ndvi.rgf')
#rome=rueObsMe(frain,fvi)
#summary(rome)
#image(rome)
#writeGDAL(rome,'rome.rst',drivername='RST',mvFlag=-99)
#aiome=rueObsMe(frain,fvi,fpet)
#writeGDAL(aiome,'aiome.rst',drivername='RST',mvFlag=-99)

#fprain=read.rgf('prerain.rgf')
#fppet=read.rgf('prepet.rgf')
#roex=rueObsEx(frain,fvi,fprain)
#aioex=rueObsEx(frain,fvi,fprain,fppet)
#writeGDAL(roex,'roex.rst',drivername='RST',mvFlag=-99)
#writeGDAL(aioex,'aioex.rst',drivername='RST',mvFlag=-99)