calcH: Iterative function to estimate H and R.ah

Description Usage Arguments Author(s) References

Description

generates an iterative solution to estimate r.ah and H because both are unknown at each pixel.

Usage

1
2
3
calcH(anchors, Ts, Z.om, WeatherStation, ETp.coef = 1.05, Z.om.ws = 0.0018,
  sat = "auto", ESPA = F, mountainous = FALSE, DEM, Rn, G,
  verbose = FALSE)

Arguments

anchors

anchors points. Can be the result from calcAnchors() or a spatialPointDataframe o Dataframe with X, Y, and type. type should be "cold" or "hot"

Ts

Land surface temperature in K. See surfaceTemperature()

Z.om

momentum roughness lenght. See momentumRoughnessLength()

WeatherStation

WeatherStation data at the flyby from the satellite. Can be a waterWeatherStation object calculate using read.WSdata and MTL file

ETp.coef

ETp coefficient usually 1.05 or 1.2 for alfalfa

Z.om.ws

momentum roughness lenght for WeatherStation. Usually 0.0018 or 0.03 for long grass

sat

satellite sensor used for NDVI. Can be "L7" or "L8"

ESPA

Logical. If TRUE will look for espa.usgs.gov realted products on working folder

mountainous

Logical. If TRUE heat transfer equation will be adjusted for mountainous terrain

DEM

Digital Elevation Model in meters.

Rn

Net radiation. See netRadiation()

G

Soil Heat Flux. See soilHeatFlux()

verbose

Logical. If TRUE will print aditional data to console

Author(s)

Guillermo Federico Olmedo

de la Fuente-Saiz, Daniel

References

R. G. Allen, M. Tasumi, and R. Trezza, "Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC) - Model" Journal of Irrigation and Drainage Engineering, vol. 133, p. 380, 2007

Allen, R., Irmak, A., Trezza, R., Hendrickx, J.M.H., Bastiaanssen, W., Kjaersgaard, J., 2011. Satellite-based ET estimation in agriculture using SEBAL and METRIC. Hydrol. Process. 25, 4011-4027. doi:10.1002/hyp.8408


ffuentesp7/METRICforR documentation built on May 15, 2019, 11:57 a.m.