Analysis of Vegetation Isolines in Red-NIR Reflectance Space

Yoshioka, Hiroki; Miura, Tomoaki; Huete, Alfredo; Ganapol, B. D.

doi:10.1016/s0034-4257(00)00130-9

Cited by 42 publications

(29 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…21 The isoline concept has been used as an analytical tool for investigating the influence of the soil on the retrieved parameters. [22][23][24][25][26][27][28] From this standpoint, vegetation isoline equations provide a model for the relationship between reflectances at different wavelengths. Several reports have attempted to use isolines in the analysis of the VI 24,28 and in parameter retrieval.…”

Section: Introductionmentioning

confidence: 99%

“…[22][23][24][25][26][27][28] From this standpoint, vegetation isoline equations provide a model for the relationship between reflectances at different wavelengths. Several reports have attempted to use isolines in the analysis of the VI 24,28 and in parameter retrieval. 29,30 Recently, these relationships were applied to intercalibration studies of the VI values obtained from different sensors.…”

Section: Introductionmentioning

confidence: 99%

“…These terms are referred to as higher-order interaction terms 34 in this study. The isoline equations derived by Yoshioka et al 24,34,35 retain the interaction terms up to the first-order terms. The truncation, however, simplifies the derivation and yields a final form that is useful as an analytical tool.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Vegetation isoline equations with first- and second-order interaction terms for modeling a canopy-soil system of layers in the red and near-infrared reflectance space

Miura

Obata

Yoshioka

2015

J. Appl. Remote Sens

View full text Add to dashboard Cite

Abstract. A previously proposed vegetation isoline equation suffers from errors if the soil background of a canopy layer is bright. These errors arise from the truncation of the second-and higher-order terms that represent photon interactions between the canopy and the soil. An isoline equation that includes a second-order interaction term is introduced. The equation was initially derived by explicitly including a second-order interaction term in both the red and near-infrared (NIR) reflectance spectra (symmetric approximation). We also examined an alternative model in which the interaction term was included only in the NIR band (asymmetric approximation). In this model, the derived isolines tend to shift upward (overcorrection effects). Numerical experiments revealed that the errors in the isoline obtained by the asymmetric approximation were reduced in magnitude to nearly one-fifth of the errors in the previously proposed method. Its accuracy was higher than that of the symmetric approximation, despite the fact that the asymmetric approximation included fewer terms than the symmetric approximation. The improved model accuracy resulted from the overcorrection effects, which compensated for the truncation error. With the simplicity and improved accuracy, the current isoline equations provide a good alternative to the previous approach.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Vegetation isoline equations with first- and second-order interaction terms for modeling a canopy-soil system of layers in the red and near-infrared reflectance space

Miura

Obata

Yoshioka

2015

J. Appl. Remote Sens

View full text Add to dashboard Cite

show abstract

“…En el caso de no existir suelo desnudo, como se discute más adelante, es posible utilizar la vegetación densa (cultivos o vegetación natural) para utilizar la metodología propuesta en este trabajo. En la misma Figura 1 se observa, que los patrones espectrales de la mezcla suelo-vegetación, con igual IAF, son lineales (líneas iso-IAF), lo que coincide con las verificaciones experimentales de otros autores (Huete et al, 1985;Price, 1992 con datos de Huete y Jackson, 1987;Bausch, 1993;Gilabert et al, 2002;Meza Díaz y Blackburn, 2003) y, a través de modelos de transferencia radiativa (Richardson y Wiegand, 1991;Baret y Guyot, 1991;Qi et al, 1994;Yoshioka et al, 2000).…”

Section: Resultados Y Discusión Simulación De La Reflectancia Del Sisunclassified

Correcciones atmosféricas relativas de imágenes de satélite: patrones invariantes y modelos atmosféricos

Pellat

2018

Terra

View full text Add to dashboard Cite

To use information obtained with satellite technology reliably, it is necessary to eliminate or reduce the disruptive effects associated with the spectral information captured by sensors on space platforms. In this paper we analyze the inversion of radiative models of the atmosphere, which consists in determining the additive and multiplicative constants in each spectral band to make the necessary atmospheric corrections. The methodology proposes the use of invariant patterns of soil lines and dense vegetation for the inversion of radiative models. The results showed that, without knowledge of the atmospheric model or the type of aerosol, soil line data were relatively insufficient (low correlation) to obtain the additive and multiplicative constants of the atmospheric inversions, with problems of multiple solutions in the inversion process. Under similar conditions, the same was found for additive constants with the dense vegetation line, but for the multiplicative constants the results were favorable (R2 > 0.9). In contrast, with the knowledge of the atmospheric model and the aerosol model, estimates of additive and multiplicative constants were highly satisfactory (R2 > 0.99) in both cases. For soil line inversions, only one constraint of the two available was used. In conclusion, the use of invariant soil-line patterns allows us to establish two basic relationships to invert the radiative simulations of the atmosphere, prior to functional compaction, and field measurements can be made so that the proposed atmospheric correction process in this work can be considered in absolute and not relative terms.

show abstract

“…Yoshioka et al (2000) mostraron que para un medio heterogéneo generalmente a 0 > 0, pero si b S a 0 /(b 0 -b S ) en S, Ecuación (8), con valores de b S < 1, el caso de a 0 < 0 tiene un efecto muy reducido en el valor de éste (b 0 crece casi al mismo ritmo que a 0 decrece). La multiplicación del término que se discute por (b R -b IRC ) de S, Ecuación (8), hace que la situación de S > 0 tenga una probabilidad muy baja, si es que se presenta.…”

Section: Fundamento Teóricounclassified

Minimización de los efectos atmosféricos en el índice espectral de la vegetación IVIS

Pellat

2018

Terra

View full text Add to dashboard Cite

RESUMENExiste una importante necesidad de minimizar los efectos atmosféricos en la información espectral de los sensores remotos en plataformas espaciales, para evitar subestimaciones de variables biofísicas que se asocian con los datos de imágenes satelitales. En el presente trabajo se desarrolló un algoritmo genérico, con base en argumentos teóricos sólidos, para analizar series temporales del índice espectral de la vegetación IVIS (índice de vegetación basado en curvas iso-suelo) y evitar así los problemas asociados al diseño clásico de índices de vegetación, en los que la señal espectral se satura rápidamente. Los resultados al aplicar el algoritmo a series temporales de píxeles de imágenes satelitales del sensor AVHRR mostraron que se logró la reducción y estandarización de los efectos atmosféricos en el IVIS. El uso de los valores máximos del IVIS en una serie temporal (ventanas de muestreo), permitió tener una aproximación razonable a condiciones atmosféricas de efectos mínimos o estandarizados. En conclusión, aún cuando el esquema que se planteó no logró eliminar en su totalidad el efecto atmosférico con el IVIS, sí lo redujo hasta valores mínimos. El algoritmo que se desarrolló fue lo suf icientemente simple para su uso operacional, en comparación con los métodos de corrección atmosférica que utilizan inversiones de modelos atmosféricos. Palabras clave: curvas iso-suelo, subestimaciones biofísicas, efecto suelo-atmósfera, curva paramétrica del crecimiento. SUMMARYIt is essential to minimize atmospheric effects on spectral information of remote sensors from space platforms to avoid under estimation of biophysical variables associated with satellite image data. In this paper, a generic algorithm was developed, based on sound theoretical arguments, to analyze time series ISVI spectral vegetation index (vegetation index based on iso-soil curves), thus avoiding the problems associated with the classic design of vegetation indices, where the spectral signal saturates quickly. The results, when applying the algorithm in pixel time series of AVHRR satellite images, showed that reduction and standardization of atmospheric effects in the ISVI was achieved. Using ISVI maximum values in time series (temporal window), a reasonable approximation to atmospheric conditions with minimum or standardized effects was obtained. In conclusion, although the scheme developed failed to eliminate the atmospheric effect on ISVI entirely, it was reduced to a minimum. The algorithm developed was simple enough for operational use, with regard to atmospheric correction methods using radiative model inversions.

show abstract

Analysis of Vegetation Isolines in Red-NIR Reflectance Space

Cited by 42 publications

References 19 publications

Vegetation isoline equations with first- and second-order interaction terms for modeling a canopy-soil system of layers in the red and near-infrared reflectance space

Vegetation isoline equations with first- and second-order interaction terms for modeling a canopy-soil system of layers in the red and near-infrared reflectance space

Correcciones atmosféricas relativas de imágenes de satélite: patrones invariantes y modelos atmosféricos

Minimización de los efectos atmosféricos en el índice espectral de la vegetación IVIS

Contact Info

Product

Resources

About