DESIGNING NATIONAL LEVEL AND SUB-NATIONAL LEVEL FOREST INVENTORY FOR UN-REDD NATIONAL FOREST MONITORING SYSTEM OF MYANMAR

摘要

Geo-Informatics and Sampling Statistics play an important role in designing National Level and Sub-National Level Forest Inventory for National Forest Monitoring System of Myanmar to collect data spatial explicitly and generate the estimates of resource quantity at the desired level of accuracy at the affordable budget. This paper will discuss how integrated application of Geo-Informatics, Forestry and Sampling Statistics create National Level and Sub-National Level Forest Inventory System of Myanmar to achieve desired level of statistical accuracy. This paper will highlight the estimations of important statistical parameters from existing forest inventory data for designing forest inventory and resource quantity at the Plot Level, Per Hectare Level, and Study Area Level. Then this paper will demonstrate how to apply these parameters for designing National Level and Sub-National Level Forest Inventory for UN-REDD National Forest Monitoring System to achieve the desired level of accuracy at the affordable budget.