Full text: Remote sensing for resources development and environmental management (Volume 2)

938 
Table 4. CRI ES-AIS-YIELD model, Example of 
Phase IV Output 
tltU GENERATOR «KIES - «IS - TIELDl 
MCHiGAM STATE WIVESSITT, EAST LAKSING, «1 «823 
Phase IV output calculates the estimated 
yield based on moisture availability for 
user-specified increments during the cropping 
cycle. 
Syrrif 
Soils 
couNTiv «wci janaica 
POL./**. DISTRICT: ST. OMSK 
IttTMER STATION NNC> WORTHY PNK 
«SOURCE PROO UNIT OR 
Awo-ecaiûGic/L me- 11 
CHOP TY9£i 
YEAR OF ORIGIN! 
OR0ШН PERIOD: 
РЙОО POTWTIAL bWTi 
TO0ACO) LATITUDE! 
1981 I SPHERE : 
2/15/1901 TO VIS/1901 AWERAGE ALTITUDE: 
1.12 TIIC INCRBGfTS MTU 
18.01 < ^*9 ) 
NORTHERN 
99.06(a) 
3 
PHASE 4> CALCULATION OF ESTIMATED YIELD (V«) 
T HTH/WY MU EWT(ET.) ACT EVAPT(ET»> YU AESP FACTOR CHANGE P YIEU CHANGE E YIELD CUT* YIELD (Y«) 
(•AYS) (aa/tfT) <«/4T) <ky) (kf/U) <kg/h*) (kg/k«) 
3 2/15 7.04 7.04 
10 2/20 7.10 7.10 
15 2/25 7.16 7.16 
20 3/ 2 15.47 15.46 
25 3/ 7 15.39 15.59 
30 3/12 15.72 15.71 
35 3/17 15.73 15.73 
40 3/22 15.68 15.68 
45 3/27 22.90 20.11 
50 4/ 1 22.80 19.84 
55 4/ 6 22.71 19.57 
60 4/11 22.60 19.30 
65 4/16 22.70 22.23 
70 4/21 22.94 22.95 
75 4/26 20.01 20.01 
80 3/ 1 20.22 20.22 
85 V 6 20.43 20.43 
90 3/11 20.64 20.64 
.15 161.50 
.13 164.02 
.15 166.54 
.00 169.07 
.00 171.61 
.00 174.15 
.00 175.14 
.00 175.12 
.50 175.11 
.50 175.11 
.30 175.12 
.50 175.14 
.50 175.91 
.50 177.16 
.50 178.42 
.30 179.67 
.50 180.94 
.50 182.20 
161.50 162. 
164.02 -526. 
166.54 492. 
169.07 661. 
171.61 833. 
174.15 1007. 
175.14 1182. 
175.12 1357. 
164.44 1522. 
163.74 1685. 
163.01 1848. 
162.35 2011. 
174.09 2185. 
177.16 2362. 
178.42 2540. 
179.67 2720. 
ltO.94 2901. 
182.20 ЗОЮ. 
TOTAL 
3083. 
Estimates can be provided for a "standard 
year" calculated from time series data and 
monthly means or for a single year and 
compared with observed yields. This last 
capability is especially useful in comparing 
the predictive ability of the yield model for 
selected agro-eco1ogica 1 conditions or 
representative farming systems. As an 
example, a comparison is provided between 
estimated and reported yield for sugar cane 
over the time period 1965 - 1981 for a 
s e1e cted sugar estate in St. Catherine 
Parish, Jamaica (Figure 6). The reported low 
in 1977 is the result of harvesting problems 
experienced during that year. 
7. REFERENCES 
Doorenbos J. and A.H. Kassam, 1979. Yield 
Response to Water. FAO Irrigation and 
Drainage Paper # 33, FAO, Rome. 
Etherington, D. and P. Matthews, 1985. MULBUD 
User's Manual, National Centre for 
Development Studies, Australian National 
University. 
Power P. et al., 1 9 85 . MSTAT, A Micro 
computer Program for the Design, Management, 
and Analysis of Agronomic Research 
Experiments. Michigan State University, East 
Lansing, Michigan. 
Schultink G. et al., 1986. User's Guide to 
the CRIES Geographic Information System - 
Version 6.0, CRIES project, Michigan State 
University, East Lansing, Michigan. 
Jama1ca/St. Catherine/Worthy Park 
Sugar Cane Performance 1963 - 1982 
Figure 6. Graphic Comparison of Predicted 
(CRIES-AIS-YIELD) and Observed Sugar Cane 
Production for the Period I960 - 198? in 
Worthy Park Sugar Estate, St. Catherine 
Parish, Jamaica. 
6. SELECTED EXAMPLES OF CRIES-AIS-YIELD 
To introduce users to YIELD model which can 
be employed in quantitative land evaluation 
studies, selected outputs are provided, using 
data from Jamaica. First of all, output is 
provided of a yield simulation for two 
commodities grown in close proximity to the 
Worthy Park weather station (Tables 3 and 4). 
Phase I output indicates the format of 
maximum potential yield based on genetic crop 
production potential without input and 
management constraints. 
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