rueObsEx: Functions to perform the assessment component of a r2dRue...

In r2dRue: 2d Rain Use Efficience model

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

Details

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

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

Author(s)

Gabriel del Barrio, Juan Puigdefabregas, Maria E. Sanjuan & Alberto Ruiz

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)

r2dRue documentation built on May 1, 2019, 10:10 p.m.