Title: | Light Use Efficiency Model to Estimate Biomass and YIELD with and Without Vapour Pressure Deficit |
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Description: | Contains LUE_BIOMASS(),LUE_BIOMASS_VPD(), LUE_YIELD() and LUE_YIELD_VPD() to estimate aboveground biomass and crop yield firstly by calculating the Absorbed Photosynthetically Active Radiation (APAR) and secondly the actual values of light use efficiency with and without vapour presure deficit Shi et al.(2007) <doi:10.2134/agronj2006.0260>. |
Authors: | Maninder Singh Dhillon [aut,cre], Thorsten Dahms [ctb], Leon Nill [ctb] |
Maintainer: | Maninder Singh Dhillon <[email protected]> |
License: | GPL-2 |
Version: | 0.2.1 |
Built: | 2025-02-25 06:01:35 UTC |
Source: | https://github.com/cran/lue |
Contains LUE_BIOMASS() to estimate aboveground biomass firstly by calculating the Absorbed Photosynthetically Active Radiation (APAR) and secondly the actual values of light use efficiency Shi et al.(2007) <doi:10.2134/agronj2006.0260>.
LUE_BIOMASS(fpar_raster,par,tmin,tmin_min,tmin_max,LUE_optimal)
LUE_BIOMASS(fpar_raster,par,tmin,tmin_min,tmin_max,LUE_optimal)
fpar_raster |
fraction of photosynthetically active radiation (fpar) per day raster with .tif format |
par |
clear sky surface photosynthetically active radiation (par) per day raster with .nc file format. |
tmin |
Minimum temperature at 2 metres since previous post-processing per day raster with .nc file format. |
tmin_min |
minimum value of tmin used for the threshold |
tmin_max |
maximum value of tmin used for the threshold |
LUE_optimal |
optical lue value with respect to crop type for example wheat crop LUE_optimal is 3.0 (Djumaniyazova et al., 2010) |
A Biomass raster
Biomass raster
Djumaniyazova Y, Sommer R, Ibragimov N, Ruzimov J, Lamers J & Vlek P (2010) Simulating water use and N response of winter wheat in the irrigated floodplains of Northwest Uzbekistan. Field Crops Research 116, 239-251.
Shi Z, Ruecker G R,Mueller M, Conrad C, Ibragimov N, Lamers J P A, Martius C, Strunz G, Dech S & Vlek P L G (2007) Modeling of Cotton Yields in the Amu Darya River Floodplains of Uzbekistan Integrating Multitemporal Remote Sensing and Minimum Field Data. Agronomy Journal 99, 1317-1326.
## Not run: ## load the data data(fpar) data(par1) data(tmin) LUE_BIOMASS(fpar,par1,tmin,-2,12,3) ## End(Not run) library(raster) fparr <- raster(nc=2, nr=2) values(fparr)<-runif(ncell(fparr),min =0.2,max= 0.8) par11<- brick(nc=2, nr=2, nl=2) values(par11)<-runif(ncell(par11),min =169076.9,max= 924474.6) tminn <- brick(nc=2, nr=2, nl=2) values(tminn)<-runif(ncell(tminn),min = 278,max= 281) LUE_BIOMASS(fparr,par11,tminn,-2,12,3)
## Not run: ## load the data data(fpar) data(par1) data(tmin) LUE_BIOMASS(fpar,par1,tmin,-2,12,3) ## End(Not run) library(raster) fparr <- raster(nc=2, nr=2) values(fparr)<-runif(ncell(fparr),min =0.2,max= 0.8) par11<- brick(nc=2, nr=2, nl=2) values(par11)<-runif(ncell(par11),min =169076.9,max= 924474.6) tminn <- brick(nc=2, nr=2, nl=2) values(tminn)<-runif(ncell(tminn),min = 278,max= 281) LUE_BIOMASS(fparr,par11,tminn,-2,12,3)
LUE_BIOMASS_VPD() to estimate aboveground biomass firstly by calculating the Absorbed Photosynthetically Active Radiation (APAR) and secondly the actual values of light use efficiency by including vapour pressure deficit of the crops Shi et al.(2007) <doi:10.2134/agronj2006.0260>.
LUE_BIOMASS_VPD(fpar_raster,par,tmin,tmax,tdew, tmin_min,tmin_max,vpd_max, vpd_min,LUE_optimal)
LUE_BIOMASS_VPD(fpar_raster,par,tmin,tmax,tdew, tmin_min,tmin_max,vpd_max, vpd_min,LUE_optimal)
fpar_raster |
fraction of photosynthetically active radiation (fpar) per day raster with .tif format |
par |
clear sky surface photosynthetically active radiation (par) per day raster with .nc file format. |
tmin |
Minimum temperature at 2 metres since previous post-processing per day raster with .nc file format. |
tmax |
Maximum temperature at 2 metres since previous post-processing per day raster with .nc file format. |
tdew |
Dewpoint temperature at 2 metres since previous post-processing per day raster with .nc file format. |
tmin_min |
minimum value of tmin used for the threshold |
tmin_max |
maximum value of tmin used for the threshold |
vpd_max |
maximum value of vapour pressure deficit used for the threshold |
vpd_min |
minimum value of vapour pressure deficit used for the threshold |
LUE_optimal |
optical lue value with respect to crop type for example wheat crop LUE_optimal is 3.0 (Djumaniyazova et al., 2010) |
A Biomass raster
Biomass raster
Djumaniyazova Y, Sommer R, Ibragimov N, Ruzimov J, Lamers J & Vlek P (2010) Simulating water use and N response of winter wheat in the irrigated floodplains of Northwest Uzbekistan. Field Crops Research 116, 239-251.
Shi Z, Ruecker G R,Mueller M, Conrad C, Ibragimov N, Lamers J P A, Martius C, Strunz G, Dech S & Vlek P L G (2007) Modeling of Cotton Yields in the Amu Darya River Floodplains of Uzbekistan Integrating Multitemporal Remote Sensing and Minimum Field Data. Agronomy Journal 99, 1317-1326.
## Not run: ## load the data data(fpar) data(par1) data(tmin) data(tmax) data(tdew) LUE_BIOMASS_VPD(fpar,par1,tmin,tmax,tdew,-2,12,1.5,4,3) ## End(Not run) library(raster) fparr <- raster(nc=2, nr=2) values(fparr)<-runif(ncell(fparr),min =0.2,max= 0.8) par11<- brick(nc=2, nr=2, nl=2) values(par11)<-runif(ncell(par11),min =169076.9,max= 924474.6) tminn <- brick(nc=2, nr=2, nl=2) values(tminn)<-runif(ncell(tminn),min = 278,max= 281) tmaxx <- brick(nc=2, nr=2, nl=2) values(tmaxx)<-runif(ncell(tmaxx),min = 278,max= 281) tdeww <- brick(nc=2, nr=2, nl=2) values(tdeww)<-runif(ncell(tdeww),min = 278,max= 281) LUE_BIOMASS_VPD(fparr,par11,tminn,tmaxx,tdeww,-2,12,1.5,4,3)
## Not run: ## load the data data(fpar) data(par1) data(tmin) data(tmax) data(tdew) LUE_BIOMASS_VPD(fpar,par1,tmin,tmax,tdew,-2,12,1.5,4,3) ## End(Not run) library(raster) fparr <- raster(nc=2, nr=2) values(fparr)<-runif(ncell(fparr),min =0.2,max= 0.8) par11<- brick(nc=2, nr=2, nl=2) values(par11)<-runif(ncell(par11),min =169076.9,max= 924474.6) tminn <- brick(nc=2, nr=2, nl=2) values(tminn)<-runif(ncell(tminn),min = 278,max= 281) tmaxx <- brick(nc=2, nr=2, nl=2) values(tmaxx)<-runif(ncell(tmaxx),min = 278,max= 281) tdeww <- brick(nc=2, nr=2, nl=2) values(tdeww)<-runif(ncell(tdeww),min = 278,max= 281) LUE_BIOMASS_VPD(fparr,par11,tminn,tmaxx,tdeww,-2,12,1.5,4,3)
Contains LUE_YIELD() to estimate aboveground biomass firstly by calculating the Absorbed Photosynthetically Active Radiation (APAR) and secondly the actual values of light use efficiency Shi et al.(2007) <doi:10.2134/agronj2006.0260>.
LUE_YIELD(fpar_raster,par,tmin,tmin_min,tmin_max,LUE_optimal)
LUE_YIELD(fpar_raster,par,tmin,tmin_min,tmin_max,LUE_optimal)
fpar_raster |
fraction of photosynthetically active radiation (fpar) per day raster with .tif format |
par |
clear sky surface photosynthetically active radiation (par) per day raster with .nc file format. |
tmin |
Minimum temperature at 2 metres since previous post-processing per day raster with .nc file format. |
tmin_min |
minimum value of tmin used for the threshold |
tmin_max |
maximum value of tmin used for the threshold |
LUE_optimal |
optical lue value with respect to crop type for example wheat crop LUE_optimal is 3.0 (Djumaniyazova et al., 2010) |
A Biomass raster
Yield raster
Djumaniyazova Y, Sommer R, Ibragimov N, Ruzimov J, Lamers J & Vlek P (2010) Simulating water use and N response of winter wheat in the irrigated floodplains of Northwest Uzbekistan. Field Crops Research 116, 239-251.
Shi Z, Ruecker G R,Mueller M, Conrad C, Ibragimov N, Lamers J P A, Martius C, Strunz G, Dech S & Vlek P L G (2007) Modeling of Cotton Yields in the Amu Darya River Floodplains of Uzbekistan Integrating Multitemporal Remote Sensing and Minimum Field Data. Agronomy Journal 99, 1317-1326.
## Not run: ## load the data data(fpar) data(par1) data(tmin) LUE_YIELD(fpar,par1,tmin,-2,12,3) ## End(Not run) library(raster) fparr <- raster(nc=2, nr=2) values(fparr)<-runif(ncell(fparr),min =0.2,max= 0.8) par11<- brick(nc=2, nr=2, nl=2) values(par11)<-runif(ncell(par11),min =169076.9,max= 924474.6) tminn <- brick(nc=2, nr=2, nl=2) values(tminn)<-runif(ncell(tminn),min = 278,max= 281) LUE_YIELD(fparr,par11,tminn,-2,12,3)
## Not run: ## load the data data(fpar) data(par1) data(tmin) LUE_YIELD(fpar,par1,tmin,-2,12,3) ## End(Not run) library(raster) fparr <- raster(nc=2, nr=2) values(fparr)<-runif(ncell(fparr),min =0.2,max= 0.8) par11<- brick(nc=2, nr=2, nl=2) values(par11)<-runif(ncell(par11),min =169076.9,max= 924474.6) tminn <- brick(nc=2, nr=2, nl=2) values(tminn)<-runif(ncell(tminn),min = 278,max= 281) LUE_YIELD(fparr,par11,tminn,-2,12,3)
LUE_YIELD_VPD() to estimate crop yield firstly by calculating the Absorbed Photosynthetically Active Radiation (APAR) and secondly the actual values of light use efficiency by including vapour pressure deficit of the crops Shi et al.(2007) <doi:10.2134/agronj2006.0260>.
LUE_YIELD_VPD(fpar_raster,par,tmin,tmax,tdew, tmin_min,tmin_max,vpd_max, vpd_min,LUE_optimal)
LUE_YIELD_VPD(fpar_raster,par,tmin,tmax,tdew, tmin_min,tmin_max,vpd_max, vpd_min,LUE_optimal)
fpar_raster |
fraction of photosynthetically active radiation (fpar) per day raster with .tif format |
par |
clear sky surface photosynthetically active radiation (par) per day raster with .nc file format. |
tmin |
Minimum temperature at 2 metres since previous post-processing per day raster with .nc file format. |
tmax |
Maximum temperature at 2 metres since previous post-processing per day raster with .nc file format. |
tdew |
Dewpoint temperature at 2 metres since previous post-processing per day raster with .nc file format. |
tmin_min |
minimum value of tmin used for the threshold |
tmin_max |
maximum value of tmin used for the threshold |
vpd_max |
maximum value of vapour pressure deficit used for the threshold |
vpd_min |
minimum value of vapour pressure deficit used for the threshold |
LUE_optimal |
optical lue value with respect to crop type for example wheat crop LUE_optimal is 3.0 (Djumaniyazova et al., 2010) |
A Biomass raster
Yield raster
Djumaniyazova Y, Sommer R, Ibragimov N, Ruzimov J, Lamers J & Vlek P (2010) Simulating water use and N response of winter wheat in the irrigated floodplains of Northwest Uzbekistan. Field Crops Research 116, 239-251.
Shi Z, Ruecker G R,Mueller M, Conrad C, Ibragimov N, Lamers J P A, Martius C, Strunz G, Dech S & Vlek P L G (2007) Modeling of Cotton Yields in the Amu Darya River Floodplains of Uzbekistan Integrating Multitemporal Remote Sensing and Minimum Field Data. Agronomy Journal 99, 1317-1326.
## Not run: ## load the data data(fpar) data(par1) data(tmin) data(tmax) data(tdew) LUE_YIELD_VPD(fpar,par1,tmin,tmax,tdew,-2,12,1.5,4,3) ## End(Not run) library(raster) fparr <- raster(nc=2, nr=2) values(fparr)<-runif(ncell(fparr),min =0.2,max= 0.8) par11<- brick(nc=2, nr=2, nl=2) values(par11)<-runif(ncell(par11),min =169076.9,max= 924474.6) tminn <- brick(nc=2, nr=2, nl=2) values(tminn)<-runif(ncell(tminn),min = 278,max= 281) tmaxx <- brick(nc=2, nr=2, nl=2) values(tmaxx)<-runif(ncell(tmaxx),min = 278,max= 281) tdeww <- brick(nc=2, nr=2, nl=2) values(tdeww)<-runif(ncell(tdeww),min = 278,max= 281) LUE_YIELD_VPD(fparr,par11,tminn,tmaxx,tdeww,-2,12,1.5,4,3)
## Not run: ## load the data data(fpar) data(par1) data(tmin) data(tmax) data(tdew) LUE_YIELD_VPD(fpar,par1,tmin,tmax,tdew,-2,12,1.5,4,3) ## End(Not run) library(raster) fparr <- raster(nc=2, nr=2) values(fparr)<-runif(ncell(fparr),min =0.2,max= 0.8) par11<- brick(nc=2, nr=2, nl=2) values(par11)<-runif(ncell(par11),min =169076.9,max= 924474.6) tminn <- brick(nc=2, nr=2, nl=2) values(tminn)<-runif(ncell(tminn),min = 278,max= 281) tmaxx <- brick(nc=2, nr=2, nl=2) values(tmaxx)<-runif(ncell(tmaxx),min = 278,max= 281) tdeww <- brick(nc=2, nr=2, nl=2) values(tdeww)<-runif(ncell(tdeww),min = 278,max= 281) LUE_YIELD_VPD(fparr,par11,tminn,tmaxx,tdeww,-2,12,1.5,4,3)
Input par dataset
par1
par1
A rasterbrick (.nc)
Input dewpoint temperature dataset
tdew
tdew
A rasterbrick (.nc)
Input maximum temperature dataset
tmax
tmax
A rasterbrick (.nc)
Input minimum temperature dataset
tmin
tmin
A raster (.nc)