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DOI: https://doi.org/10.3126/jucms.v6i2.22471 Introduction: Height is a significant parameter for growth and development of an individual. Arm span and knee height measurement are useful when accurate measurement for stature is unobtainable. Studies have shown that the relationship between stature and arm span varies with age and population. Thus, the aim of the present study was to analyze the correlation between stature and two measurements; the arms span and knee height of medical students of Kathmandu Medical College Public Limited, Kathmandu, Nepal. Materials and methods: This is a descriptive study. A total two hundred medical students, presently studying at Kathmandu Medical College, aged between eighteen and twenty eight years were randomly selected as the subjects for the present study. Among them, seventy six were females and one hundred twenty four were males. Arm span and knee height was measured by flexible steel tape and height was taken by stadiometer. The collected data were tabulated and SPSS 20 was used to perform analysis. Results: There is statistically strong correlation (r) between height and arm span (r=0.858, =0.736; r=0.849,=0.720, p

International audience; A seamless vegetation type map of India (scale 1: 50,000) prepared using medium-resolution IRS LISS-III images is presented. The map was created using an on-screen visual interpretation technique and has an accuracy of 90%, as assessed using 15,565 ground control points. India has hitherto been using potential vegetation/forest type map prepared by Champion and Seth in 1968. We characterized and mapped further the vegetation type distribution in the country in terms of occurrence and distribution, area occupancy, percentage of protected area (PA) covered by each vegetation type, range of elevation, mean annual temperature and precipitation over the past 100 years. A remote sensing-amenable hierarchical classification scheme that accommodates natural and semi-natural systems was conceptualized, and the natural vegetation was classified into forests, scrub/shrub lands and grasslands on the basis of extent of vegetation cover. We discuss the distribution and potential utility of the vegetation type map in a broad range of ecological, climatic and conservation applications from global, national and local perspectives. We used 15,565 ground control points to assess the accuracy of products available globally (i.e., GlobCover, Holdridge’s life zone map and potential natural vegetation (PNV) maps). Hence we recommend that the map prepared herein be used widely. This vegetation type map is the most comprehensive one developed for India so far. It was prepared using 23.5 m seasonal satellite remote sensing data, field samples and information relating to the biogeography, climate and soil. The digital map is now available through a web portal (http://bis.iirs.gov.in).