점 표본점(Point sampling) 방법을 이용한 국가수준 토지이용변화 매트릭스 개발

Abstract

Land‐Use Change Matrix (LUCM) is critical activity data in the Land‐Use, Land‐Use Change and Forestry (LULUCF) sector for reporting National Greenhouse Gas Inventory. To produce a LUCM, it is necessary to clearly define six land‐use categories and apply a consistent methodology according to the IPCC guideline. This study was conducted to develop a LUCM at national level in South Korea using the point sampling approach. In this study, 5,600 mapped sample points systematically distributed across the country were used to detect land‐use categories with interpretation of ortho‐photos and national spatial information including satellite images. With a produced LUCM based on classified sampling points in 1992 and 2005, simple and modified ratio estimators were used to estimate the areas and uncertainties for each land‐use category and converted land‐use category in 2005. The uncertainties from both estimators were acceptable according to the National GHG report. However, the total areas for each land‐use category estimated by the simple estimator were different from the official national statistics. As a result, the modified estimator, which employed the official national statistics of total area by land‐use category in 2005, can be used for the consistency and uncertainty assessment. To apply point sampling, an optimal sampling intensity should be determined considering economic efficiency and statistical accuracy.