Evaluating Musculoskeletal Complications Among Individuals With Diabetes Mellitus

Dr. Simran Maheshwari; Dr. Subhan Quraishi; Dr. Babita Ghodke

Volume : III, Issue : VI, June - 2014

Evaluating Musculoskeletal Complications Among Individuals With Diabetes Mellitus

Dr. Simran Maheshwari, Dr. Subhan Quraishi, Dr. Babita Ghodke

Abstract :

The information about the soils is very essential for understanding a number of hydrologic, agriculture and climate processes. The study focuses on the integrated use of geomorphic, remote sensing, GIS and field pedologic observations to develop a digital soil map and attribute database. This study gains tremendous importance keeping in view the fact that no or little amount of digital soil data is available for Kashmir valley. The study was conducted in the Pulwama district of Kashmir valley having a geographical area of 1398 Sq. Kms. The datasets used for the study include satellite data (LANDSAT ETM image), Digital Elevation Model (DEM), geological map, ancillary data including various reports and publications, field data, texture and physicochemical analysis data and land use / land cover information. From the remotely sensed data, 9 soil classes were identified visually using image interpretation key based on image elements. DEM was used to generate the landform map that helped to further refine the soil classes. Texture analysis of the soil samples, collected from the field during ground truthing, was carried out to find the particle size distribution. The multi–thematic data was integrated in the GIS to generate the final soil map of the area. The final soil map represented eight soil textural classes with Silty clay– loam being the most dominant class. A database of the soil map was developed, which consisted of the physicochemical parameters and texture of the soil classes.