Land cover monitoring by fractal analysis of digital images
Por:
Velazquez-Garcia, J, Oleschko, K, Munoz-Villalobos, JA, Velasquez-Valle, M, Menes, MM, Parrot, JF, Korvin, G, Cerca, M
Publicada:
30 nov 2010
Categoría:
Soil Science
Resumen:
Quantitative information about the land cover is a fundamental issue for any soil management practice. The use of high-resolution remote sensing for this purpose is still questionable because of some poorly measurable or unknown parameters involved in the interaction between the electromagnetic waves and the soil surface. The recorded heterogeneous, highly variable and multi-temporal numerical databases require new analytical tools for signal's pattern recognition and space/time interpretation. In this research we use a novel and versatile low-cost technique (Fractal Image Informatics) for indirect measurement of the soil cover by in situ digital imagery and fractal interpretation. The roughness of gray level distribution across the images is measured in terms of Hurst exponent (H) computed at the global ("firmagram") and local ("reference lines") scales and correlated with some direct physical measurements of the residues' weight and the degree of surface covering. The comparative ana
Filiaciones:
Oleschko, K:
Univ Nacl Autonoma Mexico, Ctr Geociencias, Juriquilla 76230, Qro, Mexico
Parrot, JF:
Univ Nacl Autonoma Mexico, Inst Geog, Mexico City, DF, Mexico
Cerca, M:
Univ Nacl Autonoma Mexico, Ctr Geociencias, Juriquilla 76230, Qro, Mexico
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