Journal of Environmental Quality · 2010 · 70 citations · 50 references
AgricultureEarth SciencesSoil SciencesRemote SensingSoil ClassificationSoil ScienceLand Resource AssessmentRemote Sensing For Crop ManagementRemote Sensing Image AnalysisSalinity AssessmentSalinity MappingSalt-affected Soil ClassificationIndian Soil ClassificationLandsat-based Soil MappingReclamationRemote Sensing AnalysisRemote Sensing ApplicationsRemote Sensing AssessmentRemote Sensing-based Soil MappingSalt-affected Land Survey Classification
Quantification of the nature, extent, and spatial distribution of salt-affected soils (SAS) for India and the world is essential for planning and implementing reclamation programs in a timely and cost-effective manner for sustained crop production. The national extent of SAS for India over the last four decades was assessed by conventional and remote sensing approaches using diverse methodologies and class definitions and ranged from 6.0 to 26.1 million hectares (Mha) and 1.2 to 10.1 Mha, respectively. In 1966, an area of 6 Mha under SAS was first reported using the former approach. Three national estimates, obtained using remote sensing, were reconciled using a geographic information system, resulting in an acceptable extent of 6.73 Mha. Moderately and severely salt-encrusted lands having large contiguous area have been correctly mapped, but slightly salt-encrusted land having smaller affected areas within croplands has not been accurately mapped. Recent satellite sensors (e.g., Resourcesat-1, Cartosat-2, IKONOS-II, and RISAT-2), along with improved image processing techniques integrated with terrain and other spatial data using a geographic information system, are enabling mapping at large scale. Significant variations in salt encrustation at the surface caused by soil moisture, waterlogging conditions, salt-tolerant crops, and dynamics of subsurface salts present constraints in appraisal, delineation, and mapping efforts. The article provides an overview of development, identification, characterization, and delineation of SAS, past and current national scenarios of SAS using conventional and remote sensing approaches, reconciliation of national estimates, issues of SAS mapping, and future scope.
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Remote sensing and image interpretation
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