Published online 2 February 2006
Published in Soil Sci Soc Am J 70:393-407 (2006)
DOI: 10.2136/sssaj2003.0285
© 2006 Soil Science Society of America
677 S. Segoe Rd., Madison, WI 53711 USA
Spectral Reflectance Methodology in Comparison to Traditional Soil Analysis
Marcos Rafael Nannia and
José Alexandre M. Demattêb,*
a Agronomy Dep., Maringá State Univ., 87020-900, Maringá, Paraná, Brazil
b Soil Science and Plant Nutrition Dep., Univ. of São Paulo, Escola Superior de Agricultura "Luiz de Queiroz", C.P. 9, 13418-900, Piracicaba, São Paulo, Brazil

View larger version (37K):
[in a new window]
|
Fig. 1. Location of the studied area and soil sampling grid representation (one sample/ha).
|
|

View larger version (32K):
[in a new window]
|
Fig. 2. (a) Representation of the 22 chosen bands by empirical interpretation of laboratory spectral curve; (b) Graphic representation of the RID of the hypothetic soils (x). Gray region corresponds to intervals that were not used for the analysis. H10: difference between the reflectance factor values at the top of the spectral curve to the inflection observed for the wavelength interval of 2120 and 2206 nm.
|
|

View larger version (37K):
[in a new window]
|
Fig. 3. Fluxogram illustration of the methodology used to test and compare estimated (by spectral model) and determined (by routine laboratory analysis) soil content values.
|
|

View larger version (37K):
[in a new window]
|
Fig. 4. Scatter plot of laboratory determined soil values obtained by routine analysis and estimated values obtained with the spectral regression models. Samples (184) were used to make the spectral data model for the surface soil layer. The spectral data of 184 samples from the subsurface soil layers were tested in these equations to estimate soil attributes.
|
|

View larger version (42K):
[in a new window]
|
Fig. 5. Scatter plot of laboratory determined soil values obtained by routine analysis and estimated values obtained with the spectral regression models. Samples (184) were used to make the spectral data model for the subsurface soil layer. The spectral data of 184 samples from the surface soil layer were tested in these equations to estimate soil attributes.
|
|

View larger version (17K):
[in a new window]
|
Fig. 6. Soil line obtained from (a) soil surface and (b) subsurface layers, and determined from simulated TM data derived from IRIS.
|
|

View larger version (15K):
[in a new window]
|
Fig. 7. Soil line obtained from surface soil layers and determined from TM data sensor.
|
|
Copyright © 2006 by the Soil Science Society of America.