KEYWORDS: Soil science, Decision support systems, Geographic information systems, Remote sensing, Data modeling, Carbon, Databases, Human-machine interfaces, Climatology, Water
Spatial databases of natural resources are very much essential to ensure enhanced productivity by conserving
soil and water and to maintain ecological integrity of any region. Integration of various thematic layers prepared from
high resolution data and detailed field survey would be preferred for grass root level planning (Panchayat) aimed to
realize the potential of production system on a sustained basis. In this study, a detailed spatial data base was created for
part of Kasaragod dist., Kerala, India. Detailed soil survey was carried out using cadastral map and registered over high
resolution satellite data (IRS LISS-IV) which helped to identify problems and potentials of the area. Nearly 600 ha of
land were found to be at higher erosion risk category out of ten soil series identified in the study area. Remote sensing
data was used to prepare land use/land cover map and coconut (53%) followed by mixed vegetation type (16%) were
found to be dominant. Soil site suitability assessment for major crops of the area was carried out and crossed with
present land use to get the mismatch in land use/land utilization type. Alternate land use plan was prepared considering
the potentials and problems of various available resources. Decision Support System (DSS) along with user interface is
developed to support decision and extract relevant information. As organic carbon is one of the most important
indicators of soil fertility C stock in the present and proposed land use was also estimated to understand the
environmental significance.
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