Full text: Proceedings, XXth congress (Part 7)

  
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B7. Istanbul 2004 
  
TDM(kg/ha) 
SEELE LEEE 
ac 
4 
  
  
  
  
0 50 100 150 200 250 300 3556 400 
Julian day 
  
+ Real TDM (kgtha) —— Simulated TDM (kg/ha) | 
  
Figure 7.- Variation of the total dry matter (DM) 
accumulation according to the Julian day. Simulated values 
(. )and the real values (*) measured in field experiment. 
Hidango, season 1992. 
Under this scheme, we have used a model divided in two levels 
of organization. First of them is related to the information that 
feeds the model, its processing and the elaboration of results 
archives. In a second level, the biophysical aspects are located, 
for which use becomes of four sub-models: Hydric balance, 
Phynologic, senescence and growth of the semi-arid 
Mediterranean prairie. In Figure 7, the real and simulated 
values appear, corresponding to the accumulation of the dry 
matter (DM) for the zone of Hidango. When analyzing this 
figure is given off that this model, in spite of its simplicity, 
reproduces the tendency of the variation in this variable. When 
relating, by means of regression analysis, the simulated values 
(y) and the measured real values in land (X), permitted to obtain 
a significant regression (P< 0,05), with a coefficient of 
determination of 97.6% and a standard error of 292.1 kg has”. 
Respect to the coefficients of the line of calculated regression, 
these parameters did not differ significantly from 0 and |, 
respectively (P> 0.05), which indicates the slant non-existence. 
The RMSE between the simulated values and the land measured 
ones was of 306.6 kg has!, which represents a percentage 
deflection of a 12.496 respect to the average of the average 
values in land. From these results the dynamics of the prairies is 
easily identifiable and to distinguish from shrubs. First they 
-have an inter-annual variability; however the others do not 
show it among the year. The growth of the prairies begins with 
the first rains of autumn, reaching its Maximum appraises in the 
months of August and September. By the end of September 
they enter in an accelerated process of senescence, which agrees 
with the formation of seeds and its later maturation. The 
production of annual dry matter is variable; according to if it is 
greater or smaller the degree of hydric deficit during the season. 
Esteem that accumulation DM of this prairie; would not surpass 
the 800 to 2500 kg had'! in normal years. 
5. CONCLUSIONS 
The present work provides an analysis method oriented to the 
space characterization of the inter-annual dynamics of the 
vegetation. This analysis allows making the monitoring of the 
vegetation when only the NDVI is known. The advantage of the 
method is that the data for the classification are extracted from 
the series of time of NDVI. Nevertheless, the complication is in 
that a great number of images is needed to be able to make it. If 
images are used this type of analysis is very advantageous, 
562 
because it would allow viewing the variation of the spatial 
homogeneity index among years. By the way, this variation in 
the borders of the zones of SHI would allow identifying the 
impact of a certain year in the spatial distribution of the 
vegetation. On the other hand, with the use of simple models of 
simulation it was possible to consider the beginning of the 
growth of the annual Mediterranean prairie, the date in which 
the flowering and the length of phynological cycle of this type 
of prairies take place. It was possible to simulate the 
accumulation of DM and the variation of the water content in 
the radial zone of the sub humid Mediterranean annual prairie, 
using a simple model, by means of a suitable election and 
calculation of the main parameters with physiological 
interpretation. Therefore, it was possible to relate the NDVI and 
the accumulation of dry matter of the semi-arid Mediterranean 
prairie. From this type of models and land information also it is 
possible to find simple algorithms that relate the calculated 
productivity of the prairie and radiometric indices from satellite 
images. 
6. ACKNOWLEDGMENTS 
This work was funded by the international Spanish agency for 
cooperation (AECI) in the frame of the project A/0229/03. 
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