Artículos de revistas
Uncertainty Coding On Landuse And Soil Boundaries Using Fuzzy Set [codificação De Incertezas Nas Bordas De Mapas De Solo E Uso Da Terra Utilizando Lógica Fuzzy]
Registro en:
Geociencias. , v. 27, n. 1, p. 43 - 51, 2008.
1019082
2-s2.0-59349111222
Autor
Barreto-Neto A.A.
De Souza Filho C.R.
Institución
Resumen
Natural landscape features, such as soil and vegetation, are represented by polygons in thematic maps. However, observations accomplished in the field demonstrated that these landscape elements present a continuous spatial variation that makes its depiction by exact lines rather incoherent. Such distortion in the conception of maps is yet a paradigm in Geosciences, Considering the need for a more realistic alternative for the cartographic representation of such themes, a computer routine based on fuzzy logic was here developed to convert crisp (Boolean) maps into fuzzy sets, using the PCRaster Environmental Modelling Language. Boolean maps of vegetation and soil types were decoded into fuzzy sets allowing the mathematical modeling of transition zones among geo-objects, where imprecision and/or uncertainties were dealt with consequently. The new digital fuzzy representations yielded in the process are tailored for modeling and spatial analysis of natural phenomena in Geographical Information Systems. 27 1 43 51 ABRAMS, M., The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER): Data products for the high spatial resolution imager on NASA's Terra platform (2000) International Journal of Remote Sensing, 21, pp. 847-859 ALMEIDA, T.I.R., SOUZA FILHO, C.R., Principal Component Analysis Applied to Feature-Oriented Band Ratios of Hyperspectral Data : A Tool for Vegetation Studies (2004) International Journal of Remote Sensing, 25, pp. 1-19 BARDOSSY, A., DUCKSTEIN, L., (1995) Fuzzy Rule-Based Moieling with applications to Geophisical, Biological and Engineering Systems, , USA, CRC Press, 232 p BARRETO-NETO, A.A., (2004) Modelagem dinâmica de processes ambientais, , Campinas, 123 p. Tese (Doutorado em Geociências, Instituto de Geociências, Universidade de Campinas UNICAMP BARRETO-NETO, A.A., SOUZA FILHO, C.R., Application of fuzzy logic to the evaluation of runoff in a tropical watershed (2008) Environmental Modelling&Software, 23, pp. 244-253 BURROUGH, P.A., (1986) Principles of Geographical Information Systems for Land Resources Assessment, , Oxford: Oxford University Press, 194 p BURROUGH, P.A., Fuzzy mathematical methods for soil survey and land evaluation (1989) Journal of Soil Science, 40, pp. 477-492 BURROUGH, P.A. Natural Objects with Indeterminate Boundaries. In: BURROUGH P.A. & FRANK, A.U. (Coordenadores), Geographic Objects with Indeterminate Boundaries. Taylor&Francis, p. 3-28, 1996BURROUGH, P.A., MCDONNELL, R.A., (1998) Principles of Geographical Information Systems, , England, Oxford University Press, 336 p BURROUGH, P.A., MACMILLAN, R.A., Van DEURSEN, W., Fuzzy classification methods for determining land suitability from soil profile observations and topography (1992) Journal of Soil Science, 43, pp. 193-210 (1999) Sistema brasileiro de classificação de solos, , EMBRAPA, Brasília: Embrapa, 412 p HADZILACOS, T. On Layer-based Systems for Undetermined Boundaries. In: BURROUGH P.A. & FRANK, A.U. (Coordenadores), Geographic Objects with Indeterminate Boundaries, Taylor&Francis, p. 237-256, 1996KANDEL, A., (1986) Fuzzy Mathematical Techniques with Applications, , Reading, Addison-Wesley, 274 p KANDEL, A. PACHECO, R. MARTINS, A. KHATOR, S. The Foundations of Rule-Based Computations in Fuzzy Models, In: W. PEDRYCZ & H.-J. ZIMMERMANN. (Org.). The Foundations of Rule-based Computations in Fuzzy Models. Norwell, Massachusetts: Kluwer Academic Publishers, 1 ed., p. 231-263, 1996KARSSENBERG, D., The value of environmental modelling languages for building distributed hydrological models (2002) Hydrological Processes, 16, pp. 2751-2766 KARSSENBERG, D., BURROUGH, P.A., SLUITER, R., DE JONG, K., The PCRaster software and Course Materials for Teaching Numerical Modelling in the Environmental Sciences (2001) Transactions in GIS, 5 (2), pp. 99-110 LAGACHERIE, P. ANDRIEUX, P. BOUZIGUES, R. Fuzziness and Uncertainty of Soil Boundaries: From Reality to Coding in GIS. In: P.A. BURROUGH P.A. & A.U. FRANK (Org.), Geographic Objects with Indeterminate Boundaries, Bristol, Taylor&Francis Inc., p. 275-286, 1996McBRATNEY, A.B., DE GRUIJTER, J.J., A continuum approach to soil classification by modified fuzzy K- means with extragrades (1992) Journal of Soil Science, 43, pp. 159-175 McBRATNEY, A.B., DEGRUIJTER, J.J., BRUS, D.J., Spatial prediction and mapping of continuous soil classes (1992) Geoderma, 54, pp. 39-64 McBRATNEY, A.B., ODEH, I.O., Application of fuzzy sets in soil science: Fuzzy logic, fuzzy measurements and fuzzy decisions (1997) Geoderma, 77, pp. 85-113 ODEH, I.O., McBRATNEY, A.B., CHITTLEBOROUGH, D.J., Soil pattern recognition with fuzzy-c-mean: Application to classification and soil-landform interrelationships (1992) Soil Science Society American Journal, 56, pp. 505-516 PEDRYCZ, W., GOMIDE, F., (1998) An Introduction to Fuzzy Sets: Analysis and Design, , London, MIT Press, 465 p ROCK, B.N., VOGELMANN, J.E., WILLIAMS, D.L., VOGLEMANN, A.F., HOSHIZAKI, T., Remote Detection of Forest Damage (1986) BioScience, 36, p. 439 ROUSE, J.W., HAAS, R.H., SCHELL, J.A., DEERING, D.W., Monitoring Vegetation Systems in the Great Plains with ERTS (1974) THIRD EARTH RESOURCES TECHNOLOGY SATELLITE-1 SYMPOSIUM, 1974. Proceeding, pp. 310-317. , Greenbelt: NASA SP-351 SAKAI, E. LEPSCH, I.F. AMARAL, A.Z. Levantamento pedológico de reconhecimento semidetalhaio da região de Ribeira do Iguape no Estado de São Paulo. I. Carta de solos da folha 24° 15' - 24° 45' e 47° 30' - 40°W (Registro, Juquiá, Pariqüera- Açú e Iguape). Campinas: Instituto Agronômico, 1983SOUZA FILHO, C.R. Aster à Vista. Revista InfoGeo, v. 29, p. 62-64, 2003WESSELING, C.G., KARSSENBERG, D., VAN DEURSEN, W.P.A., BURROUGH, P.A., Integrating dynamic environmental models in GIS: The development of a Dynamic Modelling language (1996) Transactions in GIS, 1, pp. 40-48 ZADEH, L.A. Fuzzy sets. Information and Control, v. 8, p. 338-353, 1965ZIMMERMANN, H.J., (1985) Fuzzy Set Theory and its applications, , Boston: Kluwer-Nijhoff, 363 p