1i.biomass(1) Grass User's Manual i.biomass(1)
2
3
4
6 i.biomass - Computes biomass growth, precursor of crop yield calcula‐
7 tion.
8
10 imagery, biomass, FPAR, yield
11
13 i.biomass
14 i.biomass --help
15 i.biomass fpar=name lightuse_efficiency=name latitude=name day‐
16 ofyear=name transmissivity_singleway=name water_availability=name out‐
17 put=name [--overwrite] [--help] [--verbose] [--quiet] [--ui]
18
19 Flags:
20 --overwrite
21 Allow output files to overwrite existing files
22
23 --help
24 Print usage summary
25
26 --verbose
27 Verbose module output
28
29 --quiet
30 Quiet module output
31
32 --ui
33 Force launching GUI dialog
34
35 Parameters:
36 fpar=name [required]
37 Name of fPAR raster map
38
39 lightuse_efficiency=name [required]
40 Name of light use efficiency raster map (UZB:cotton=1.9)
41
42 latitude=name [required]
43 Name of degree latitude raster map [dd.ddd]
44
45 dayofyear=name [required]
46 Name of Day of Year raster map [1-366]
47
48 transmissivity_singleway=name [required]
49 Name of single-way transmissivity raster map [0.0-1.0]
50
51 water_availability=name [required]
52 Value of water availability raster map [0.0-1.0]
53
54 output=name [required]
55 Name for output daily biomass growth raster map [kg/ha/d]
56
58 i.biomass calculates the biomass growth for a day after [1][2]. Input:
59
60 · fPAR, the modified Photosynthetic Active Radiation for crops.
61
62 · Light Use Efficiency [0.0-1.0], in Uzbekistan cotton is at 1.9
63 most of the time.
64
65 · Latitude [0.0-90.0], from r.latlong.
66
67 · DOY [1-366].
68
69 · Transmissivity of the atmosphere single-way [0.0-1.0], mostly
70 around 0.7+ in clear sky.
71
72 · Water availability [0.0-1.0], possibly using direct output from
73 i.eb.evapfr.
74
76 i.biomass can use the output of i.eb.evapfr directly as water avail‐
77 ability input.
78
80 Remove Latitude, DOY and Tsw from input and replace with a raster input
81 compatible with r.sun output.
82
84 i.eb.evapfr, r.latlong, r.sun
85
87 [1] Bastiaanssen, W.G.M., Ali, S., 2002. A new crop yield forecasting
88 model based on satellite measurements applied across the Indus Basin,
89 Pakistan. Agriculture, Ecosystems and Environment, 94(3):321-340. (PDF)
90
91 [2] Chemin, Y., Platonov, A., Abdullaev, I., Ul-Hassan, M. 2005. Sup‐
92 plementing farm level water productivity assessment by remote sensing
93 in transition economies. Water International. 30(4):513-521.
94
96 Yann Chemin, Bec de Mortagne, France
97
98 Last changed: $Date: 2016-05-18 09:07:29 +0200 (Wed, 18 May 2016) $
99
101 Available at: i.biomass source code (history)
102
103 Main index | Imagery index | Topics index | Keywords index | Graphical
104 index | Full index
105
106 © 2003-2019 GRASS Development Team, GRASS GIS 7.4.4 Reference Manual
107
108
109
110GRASS 7.4.4 i.biomass(1)