i.eb.evapfr(1grass)

1i.eb.evapfr(1)                Grass User's Manual               i.eb.evapfr(1)
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NAME

6       i.eb.evapfr   -  Computes evaporative fraction and root zone soil mois‐
7       ture.
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KEYWORDS

10       imagery, energy balance, soil moisture, evaporative fraction, SEBAL
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SYNOPSIS

13       i.eb.evapfr
14       i.eb.evapfr --help
15       i.eb.evapfr  [-m]  netradiation=name  soilheatflux=name   sensibleheat‐
16       flux=name evaporativefraction=name  [soilmoisture=name]   [--overwrite]
17       [--help]  [--verbose]  [--quiet]  [--ui]
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19   Flags:
20       -m
21           Root zone soil moisture output  (Makin,  Molden  and  Bastiaanssen,
22           2001)
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24       --overwrite
25           Allow output files to overwrite existing files
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27       --help
28           Print usage summary
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30       --verbose
31           Verbose module output
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33       --quiet
34           Quiet module output
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36       --ui
37           Force launching GUI dialog
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39   Parameters:
40       netradiation=name [required]
41           Name of Net Radiation raster map [W/m2]
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43       soilheatflux=name [required]
44           Name of soil heat flux raster map [W/m2]
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46       sensibleheatflux=name [required]
47           Name of sensible heat flux raster map [W/m2]
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49       evaporativefraction=name [required]
50           Name for output evaporative fraction raster map
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52       soilmoisture=name
53           Name for output root zone soil moisture raster map
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DESCRIPTION

56       i.eb.evapfr  calculates  the  evaporative  fraction  after Bastiaanssen
57       1995. The main implementation follows Alexandridis et al.  (2009).  The
58       module  takes as input the net radiation (see r.sun, i.eb.netrad), soil
59       heat flux (see i.eb.soilheatflux) and sensible heat flux (see i.eb.hse‐
60       bal01). A flag adds a root zone empirical soil moisture output from the
61       article of Bastiaanssen, et al. (2000).
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REFERENCES

67       Bastiaanssen, W.G.M., 1995.  Estimation of Land surface  parameters  by
68       remote  sensing under clear-sky conditions. PhD thesis, Wageningen Uni‐
69       versity, Wageningen, The Netherlands.  (PDF)
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71       Bastiaanssen, W.G.M., Molden, D.J., Makin, I.W., 2000.  Remote  sensing
72       for irrigated agriculture: examples from research and possible applica‐
73       tions. Agricultural water management 46.2: 137-155.
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75       Chemin Y., Alexandridis T.A., 2001. Improving spatial resolution of  ET
76       seasonal  for irrigated rice in Zhanghe, China. Asian Journal of Geoin‐
77       formatics.  5(1):3-11.
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79       Alexandridis T.K., Cherif I., Chemin Y., Silleos  N.G.,  Stavrinos  E.,
80       Zalidis G.C., 2009.  Integrated methodology for estimating water use in
81       Mediterranean agricultural areas. Remote Sensing. 1, 445-465.  (PDF)
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83       Chemin, Y., 2012.  A Distributed Benchmarking Framework for  Actual  ET
84       Models,  in:  Irmak,  A. (Ed.), Evapotranspiration - Remote Sensing and
85       Modeling. InTech.  (PDF)
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AUTHOR

88       Yann Chemin, Asian Institute of Technology, Thailand
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90       Last changed: $Date: 2016-06-02 20:19:40 +0200 (Thu, 02 Jun 2016) $
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SOURCE CODE

93       Available at: i.eb.evapfr source code (history)
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95       Main index | Imagery index | Topics index | Keywords index |  Graphical
96       index | Full index
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98       © 2003-2019 GRASS Development Team, GRASS GIS 7.4.4 Reference Manual
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102GRASS 7.4.4                                                     i.eb.evapfr(1)