Scroll to navigation

i.eb.soilheatflux(1grass) GRASS GIS User's Manual i.eb.soilheatflux(1grass)

NAME

i.eb.soilheatflux - Soil heat flux approximation (Bastiaanssen, 1995).

KEYWORDS

imagery, energy balance, soil heat flux, SEBAL

SYNOPSIS

i.eb.soilheatflux
i.eb.soilheatflux --help
i.eb.soilheatflux [-r] albedo=name ndvi=name temperature=name netradiation=name localutctime=name output=name [--overwrite] [--help] [--verbose] [--quiet] [--ui]

Flags:


HAPEX-Sahel empirical correction (Roerink, 1995)

Allow output files to overwrite existing files

Print usage summary

Verbose module output

Quiet module output

Force launching GUI dialog

Parameters:


Name of albedo raster map [0.0;1.0]

Name of NDVI raster map [-1.0;+1.0]

Name of Surface temperature raster map [K]

Name of Net Radiation raster map [W/m2]

Name of time of satellite overpass raster map [local time in UTC]

Name for output raster map

DESCRIPTION

i.eb.soilheatflux calculates the soil heat flux approximation (g0) after Bastiaanssen (1995). The main reference for implementation is Alexandridis, 2009. It takes input of Albedo, NDVI, Surface Skin temperature, Net Radiation (see r.sun), time of satellite overpass, and a flag for the Roerink empirical modification from the HAPEX-Sahel experiment. The "time of satellite overpass" map can be obtained as follows:

  • MODIS: a related sub dataset is included in each HDF file, and simply to be imported as a raster map;
  • Landsat: to be generated as map from the overpass time stored in the metadata file (given in Greenwich Mean Time - GMT), see below.
For Landsat, the overpass map can be computed by using a two-step method: 
# 1) extract the overpass time in GMT from metadata file
i.landsat.toar -p input=dummy output=dummy2 \


   metfile=LC81250452013338LGN00_MTL.txt lsatmet=time
# ... in this example approx. 03:12am GMT
# 2) create map for computational region of Landsat scene
g.region rast=LC81250452013338LGN00_B4 -p
r.mapcalc "overpasstime = 3.211328"

REFERENCES

Bastiaanssen, W.G.M., 1995. Estimation of Land surface parameters by remote sensing under clear-sky conditions. PhD thesis, Wageningen University, Wageningen, The Netherlands. (PDF)

Chemin Y., Alexandridis T.A., 2001. Improving spatial resolution of ET seasonal for irrigated rice in Zhanghe, China. Asian Journal of Geoinformatics. 5(1):3-11,2004.

Alexandridis T.K., Cherif I., Chemin Y., Silleos N.G., Stavrinos E., Zalidis G.C. Integrated methodology for estimating water use in Mediterranean agricultural areas. Remote Sensing. 2009, 1, 445-465. (PDF)

Chemin, Y., 2012. A Distributed Benchmarking Framework for Actual ET Models, in: Irmak, A. (Ed.), Evapotranspiration - Remote Sensing and Modeling. InTech. (PDF)

SEE ALSO

r.sun, i.albedo, i.emissivity, i.eb.hsebal01, i.eb.evapfr i.landsat.toar

AUTHOR

Yann Chemin, Asian Institute of Technology, Thailand

SOURCE CODE

Available at: i.eb.soilheatflux source code (history)

Accessed: Thursday Mar 07 18:16:00 2024

Main index | Imagery index | Topics index | Keywords index | Graphical index | Full index

© 2003-2024 GRASS Development Team, GRASS GIS 8.3.2 Reference Manual

GRASS 8.3.2