SciELO - Scientific Electronic Library Online

vol.43 número3Sobre la clasificación de sistemas arbolados usando información espectral multi-angularMedición de la evolución económica del sector agrario mediante indicadores sintéticos en Castilla-La Mancha índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados




Links relacionados

  • No hay artículos similaresSimilares en SciELO



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


ROMERO-SANCHEZ, Enrique et al. Design of a spectral vegetation index under the joint perspective of exponential and linear growth patterns. Agrociencia [online]. 2009, vol.43, n.3, pp.291-307. ISSN 2521-9766.

This study analyzes different experiments with reflectance measurements to review the patterns of the first two constants of the models of radiative interaction in the red (R) and near infrared (NIR) space. From experimental evidence, it is concluded that the first order model of interactions is sufficient for this aim. Secondly, the algorithm of the spectral index IV_CIMAS is developed and applied to crop experiments, concluding that this index is only a relative improvement over the NDVIcp index and that the expo-linear phase of the vegetative growth stage of the vegetation are well-described by both. The reproductive phase is not adequately modeled by either of the spectral indexes. Finally, the models of sun-sensor geometry proposed are reviewed, and it is concluded that these have good experimental fit, allowing this geometry to be standardized. Modeling of the associated patterns to the spectral curve constants of equal vegetation is very difficult to do because of properties of the spaces used. The problem of designing vegetation indexes is still open.

Palabras llave : IV_CIMAS; vegetation indexes; experimental reflectances.

        · 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