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Digital soil mapping of sand content in arid western India using geostatistical approaches

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Title Digital soil mapping of sand content in arid western India using geostatistical approaches
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Creator Santra, P., Kumar, M., Panwar, N.R.
 
Subject Digital soil mapping
Arid Western India
Semivariogram
Kriging
Aridisol
Inceptisol
Entisol
 
Description Not Available
Digitalmaps of sand content of arid western Indiawere prepared using legacy soil data published by National Bureau
of Soil Survey and Land Use Planning, Nagpur following digital soil mapping (DSM) approach. In the first
step, profile data was harmonized to standard depths as followed by GlobalSoilMapping programme e.g. 0–
5 cm, 5–15 cm, 15–30 cm, 30–60 cm, 60–100 cm and 100–200 cm using mass preserving spline tool in R. Four
different approaches of DSM methodology were applied to prepare sand content map of arid western India
and these are ordinary kriging (OK), universal kriging (UK)/kriging with eternal drift (KED), random forest regression
and regression kriging (RK). Apart from legacy soil data, information on auxiliary and environmental
variables e.g. soil map, terrain attributes and bioclimatic variables were used in the DSM methodology. Trend
of covariates were fitted using random forest regression and the R2 of fitted trend was found 0.21–0.28. The accuracy
of the prepared digital products was evaluated through k-fold cross validation approach. Lin's concordance
correlation coefficient (LCCC) was found 0.47–0.55 for KED, 0.45–0.51 for RK, 0.43–0.51 for random
forest regression and 0.28–0.43 for OK. Apart from LCCC, other evaluation indices e.g. R2, root mean squared
error (RMSE) and bias also showed the best performance of KED to predict sand content followed by RK, random
forest regression and OK. The prepared digital products will be quite useful to take decisions on appropriate and
region specific soilmanagements. The prepared maps may further be uploaded in webmap services for itswider
access by end users.
Not Available
 
Date 2018-11-12T11:41:53Z
2018-11-12T11:41:53Z
2017-03-27
 
Type Research Paper
 
Identifier 5
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/10568
 
Language English
 
Relation Not Available;
 
Publisher Elsevier