1i.eb.eta(1)                 GRASS GIS User's Manual                i.eb.eta(1)
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NAME

6       i.eb.eta  - Actual evapotranspiration for diurnal period (Bastiaanssen,
7       1995).
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KEYWORDS

10       imagery, energy balance, actual evapotranspiration, SEBAL
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SYNOPSIS

13       i.eb.eta
14       i.eb.eta --help
15       i.eb.eta  netradiationdiurnal=name  evaporativefraction=name   tempera‐
16       ture=name  output=name  [--overwrite]  [--help]  [--verbose]  [--quiet]
17       [--ui]
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19   Flags:
20       --overwrite
21           Allow output files to overwrite existing files
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23       --help
24           Print usage summary
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26       --verbose
27           Verbose module output
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29       --quiet
30           Quiet module output
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32       --ui
33           Force launching GUI dialog
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35   Parameters:
36       netradiationdiurnal=name [required]
37           Name of the diurnal net radiation map [W/m2]
38           Default: rnetday
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40       evaporativefraction=name [required]
41           Name of the evaporative fraction map [-]
42           Default: evapfr
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44       temperature=name [required]
45           Name of the surface skin temperature [K]
46           Default: tempk
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48       output=name [required]
49           Name of the output actual evapotranspiration layer [mm/d]
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DESCRIPTION

52       i.eb.eta calculates the actual  evapotranspiration  (ETa  ;  mm/d)  for
53       diurnal  period after [1], implemented in [3].  It takes input of Diur‐
54       nal Net Radiation (see r.sun), evaporative fraction  (see  i.eb.evapfr)
55       and surface skin temperature.
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NOTES

58       Full ETa processing will need those:
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60           ·   i.vi, i.albedo, r.latlong, i.emissivity
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62           ·   i.evapo.potrad (GRASS Addon)
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64           ·   i.eb.netrad, i.eb.soilheatflux, i.eb.hsebal01
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66           ·   i.eb.evapfr, i.eb.eta
67       (for time integration: i.evapo.time_integration)
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69       For more details on the algorithms see [1][2][3][4].
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SEE ALSO

72        r.sun, i.eb.evapfr, i.eb.netrad
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REFERENCES

75       [1]  Bastiaanssen, W.G.M., 1995.  Estimation of Land surface parameters
76       by remote sensing under clear-sky conditions.  PhD  thesis,  Wageningen
77       University, Wageningen, The Netherlands.  (PDF)
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79       [2] Chemin Y., Alexandridis T.A., 2001. Improving spatial resolution of
80       ET seasonal for irrigated rice in  Zhanghe,  China.  Asian  Journal  of
81       Geoinformatics.  5(1):3-11,2004.
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83       [3]  Alexandridis  T.K.,  Cherif I., Chemin Y., Silleos N.G., Stavrinos
84       E., Zalidis G.C. Integrated methodology for  estimating  water  use  in
85       Mediterranean  agricultural  areas.  Remote  Sensing. 2009, 1, 445-465.
86       (PDF)
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88       [4] Chemin, Y., 2012.  A Distributed Benchmarking Framework for  Actual
89       ET Models, in: Irmak, A. (Ed.), Evapotranspiration - Remote Sensing and
90       Modeling. InTech.  (PDF)
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AUTHORS

93       Yann Chemin, Asian Institute of Technology, Thailand
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SOURCE CODE

96       Available at: i.eb.eta source code (history)
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98       Main index | Imagery index | Topics index | Keywords index |  Graphical
99       index | Full index
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101       © 2003-2020 GRASS Development Team, GRASS GIS 7.8.5 Reference Manual
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105GRASS 7.8.5                                                        i.eb.eta(1)