Diagnosis and Prognosis of Salt-Affected Soils and Poor-Quality Waters Using Remote Sensing and Proximal Techniques

2016 ◽  
pp. 55-82 ◽  
Author(s):  
Madhurama Sethi ◽  
D. S. Bundela ◽  
Rajkumar
Keyword(s):  
Remote Sensing ◽  
Poor Quality ◽  
Diagnosis And Prognosis ◽  
Salt Affected Soils

Assessing salt-affected soils using remote sensing, solute modelling, and geophysics

Geoderma ◽  
2006 ◽  
Vol 130 (3-4) ◽  
pp. 191-206 ◽  
Author(s):  
J. Farifteh ◽  
A. Farshad ◽  
R.J. George
Keyword(s):  
Remote Sensing ◽  
Salt Affected Soils

Developing Logistic Regression Models to Identify Salt-Affected Soils Using Optical Remote Sensing

2019 ◽  
pp. 233-256
Author(s):  
Nirmal Kumar ◽  
S. K. Singh ◽  
G. P. Obi Reddy ◽  
R. K. Naitam
Keyword(s):  
Remote Sensing ◽  
Logistic Regression ◽  
Spatial Distribution ◽  
Soil Salinity ◽  
Regression Models ◽  
Landsat 8 ◽  
Gangetic Plain ◽  
Logistic Regression Models ◽  
Salt Affected Soils ◽  
Indo Gangetic Plain

A major part of Indo-Gangetic plain is affected with soil salinity/alkalinity. Information on spatial distribution of soil salinity is important for planning management practices for its restoration. Remote sensing has proven to be a powerful tool in quantifying and monitoring the development of soil salinity. The chapter aims to develop logistic regression models, using Landsat 8 data, to identify salt affected soils in Indo-Gangetic plain. Logistic regression models based on Landsat 8 bands and several salinity indices were developed, individually and in combination. The bands capable of differentiating salt affected soils from other features were identified as green, red, and SWIR1. The logistic regression model developed in the study area was found to be 81% accurate in identifying salt-affected soils. A total area of 34558.49 ha accounting to ~10% of the total geographic area of the district was found affected with salinity/alkalinity. The spatial distribution of salt-affected soils in the district showed an association of shallow ground water depth with salinity.

Inventory of salt-affected soils and waterlogged areas: A remote sensing approach

1999 ◽  
Vol 20 (8) ◽  
pp. 1589-1599 ◽  
Author(s):  
R. S. Dwivedi ◽  
K. Sreenivas ◽  
K. V. Ramana
Keyword(s):  
Remote Sensing ◽  
Salt Affected Soils

Remote sensing technique for mapping salt affected soils

1994 ◽  
Vol 15 (9) ◽  
pp. 1901-1914 ◽  
Author(s):  
K. S. VERMA ◽  
R. K. SAXENA ◽  
A. K. BARTHWAL ◽  
S. N. DESHMUKH
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Technique ◽  
Salt Affected Soils

Remote Sensing and Geographic Information System for Appraisal of Salt-Affected Soils in India

2010 ◽  
Vol 39 (1) ◽  
pp. 5-15 ◽  
Author(s):  
Gurbachan Singh ◽  
D. S. Bundela ◽  
Madhurama Sethi ◽  
Khajanchi Lal ◽  
S. K. Kamra
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Geographic Information System ◽  
Geographic Information ◽  
Salt Affected Soils
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