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Reflectance spectroscopic approach for estimation of soil properties in hot arid western Rajasthan, India

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Title Reflectance spectroscopic approach for estimation of soil properties in hot arid western Rajasthan, India
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Creator Santra, P., Kumar, R., Sarathjith, M.C., Panwar, N.R., Varghese, P., Das, B.S.
 
Subject VIS–NIR–SWIR
Indian Thar Desert
Principal components
Band reflectance
Partial least square regression (PLSR)
Soil resource assessment
 
Description Not Available
Periodic and regular assessment of land
degradation in arid regions of the world is essential for
implementing suitable corrective measures in time.
Assessment of soil properties based on soil sampling from
hot arid tracts followed by laboratory analysis is a formidable
task. Reflectance spectroscopy appears to be an
emerging technology for the assessment of soils in extreme
environment. In this study, soil spectral library of 138 soil
samples from hot arid western Rajasthan have been created
in visible, near-infrared and short wave infrared
(350–2500 nm) region of the electromagnetic spectrum
along with the measurements of basic soil properties.
Further, spectral reflectance-based algorithms have been
developed for rapid assessment of soil resources of arid
regions. Results showed that sand and clay content may be
satisfactorily estimated from linear models involving
principal components (PCs) or derived band reflectance as
the input variables (R2 = 0.41–0.43). Organic carbon (OC)
content of soil was also found satisfactorily correlated with
spectral data (R2 = 0.27). Derived band reflectance corresponding
to Operational Land Imager bands of Landsat-8
has been found best to predict soil properties. Soil OC
content has been found to be best estimated by derived spectral band data corresponding to spectral bands of IRSP6
satellite. Partial least square regression-based models
were found even better than the PCs-based and band reflectance-
based multiple regression models for estimating
soil properties. Thus, the present study indicates that soil
spectral reflectance data captured by remote sensing
satellites may have a great potential for rapid assessment of
soil resources in arid regions.
Not Available
 
Date 2018-11-13T06:50:34Z
2018-11-13T06:50:34Z
2015-04-12
 
Type Research Paper
 
Identifier 11
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/10686
 
Language English
 
Relation Not Available;
 
Publisher Springer