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Land Use/Land Cover
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Reconstruction of long term land cover changes by a maximum likelihood interpolation method using genetic algorithm
Result
Figure 1 shows the result of reconstruction of l ong term , year 1900 to 1990 by 10 years interval, land
cover changes by a maximum likelihood i nterpolation method using genetic algorithm. Because
long-term changes in climatologic variables are ignored, moreover the number and quality of the point
based observational data are limited, the reconstruction results cannot be validated against the other
observational data. Nevertheless, the reconstructed results show a reasonable fitting both to the
observational data and the knowledge of the changes. It can be concluded that by applying more
accurate and reliable scientific data and knowledge of climate changes, long term land use and land
cover changes can be reconstructed more accurately.
Conclusion
In this study, the interpolation method is applied to reconstruct long term land cover changes from
fragmentary observational data and knowledge of the change. Genetic algorithm and hill climbing can be
successfully applied to the combinatorial optimization of nominal voxel-field data. This maximum
likelihood interpolation method using genetic algorithm has reconstructed the long term land cover
changes by every 10 years interval from year 1900 to 1990. And this reconstructed land cover changes
shows a reasonable fitting both to the observational data and the knowledge of the change.
References
- Ryosuke Shibasaki and Shaobo Huang (2000). Integration of observational data and behavioral models
for spatio temporal interpolation- application to reconstructing long term land use and land cover changes,
Present and Future of Modeling Global Environmental Change Toward Integrated modeling, T. Matsuno
and H .Kida, ed. Terra Scientific Publishing Company, Tokyo, 293- 309.
- Klein Goldewijk, K. (2001). Estimating global land use change over the past 300 years: The HYDE
database. Global Biogeochemical Cycles 15(2): 417-434.
- Prentice, I.C., Cramer, W., Harrison, S.P., Leemans, R., Monserud, R.A., and Solomon, A.M. (1992). A
global biome model based on plant physiology and dominance, soil properties and climate. J. Biogeogr.,
19: 117-134.
Figure 1. Reconstructed long term global land use and cover change
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