Analysis of Land Use and Land Cover Change Using Time-Series Data and Random Forest in North Korea

编号 030030704

推送时间 20210913

研究领域 森林经理 

年份 2021 

类型 期刊 

语种 英语

标题 Analysis of Land Use and Land Cover Change Using Time-Series Data and Random Forest in North Korea

来源期刊 REMOTE SENSING

期 第307期

发表时间 20210903

关键词 forest change trend;  terrace field;  North Korea;  random forest (RF);  Google Earth Engine (GEE); 

摘要 North Korea being one of the most degraded forests globally has recently been emphasizing in forest restoration. Monitoring the trend of forest restoration in North Korea has important reference significance for regional environmental management and ecological security. Thus, this study constructed and analyzed a time-series land use land cover (LULC) map to identify the LULC changes (LULCCs) over extensive periods across North Korea and understand the forest change trends. The analysis of LULC used Landsat multi-temporal image and Random Forest algorithm on Google Earth Engine(GEE) from 2001 to 2018 in North Korea. Through the LULCC detection technique and consideration of the cropland change relation with elevation, the forest change in North Korea for 2001–2018 was evaluated. We extended the existing sampling methodology and obtained a higher overall accuracy (98.2% ± 1.6%), with corresponding kappa coefficients (0.959 ± 0.037), and improved the classification accuracy in cropland and forest cover. Through the change detection and spatial analysis, our research shows that the forests in the southern and central regions of North Korea are undergoing restoration. The sampling method we extended in this study can effectively and reliably monitoring the change trend of North Korea forests. It also provides an important reference for the regional environmental management and ecological security in North Korea.

服务人员 付贺龙

服务院士 唐守正

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