SciELO - Scientific Electronic Library Online

 
vol.42 número8Función de los agentes de automatización en los sistemas de apoyo a la toma de decisiones en agronegociosEfecto multiplicador de las remesas en la economía mexicana índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados

Revista

Articulo

Indicadores

Links relacionados

  • No hay artículos similaresSimilares en SciELO

Compartir


Agrociencia

versión On-line ISSN 2521-9766versión impresa ISSN 1405-3195

Resumen

PAZ-PELLAT, Fernando et al. Optimization of the spectral vegetation index NDVIcp. Agrociencia [online]. 2008, vol.42, n.8, pp.925-937. ISSN 2521-9766.

The optimization of the spectral vegetation indices to reduce the effects of soil and atmosphere, requires strong hypotheses when there is no knowledge related to the atmospheric variables and only information contained in the satellite images. The optimization of the index NDVIcp, designed to minimize the effect of soil, is analyzed under a perspective of its viability and of the restrictions associated with this objective. To explain the problematic of the optimization of the spectral vegetation index NDVIcp, an analysis was made of the mathematical structure of the atmospheric effects, and the NDVIcp was formulated as a function of this structure to analyze the problem of minimization of the joint effects of soil and of the atmosphere. The analyses showed that without the knowledge of the type of aerosol (optical thickness of the atmosphere) and atmospheric model, the attempts at reduction or elimination of the atmospheric effects are indetermined (imply multiple solutions to the problem). If the atmosphere and aerosol are known, but not the atmospheric optical thickness, it is possible to minimize the atmospheric effects and of the soil using a scheme of approximation of the constants of the NDVIcp index to the case without atmosphere.

Palabras llave : Optimization; effect of soil and atmosphere; structural patterns.

        · resumen en Español     · texto en Español     · Español ( pdf )

 

Creative Commons License Todo el contenido de esta revista, excepto dónde está identificado, está bajo una Licencia Creative Commons