林业科学2024，Vol.60Issue(5)：116-126,11.DOI:10.11707/j.1001-7488.LYKX20220097
基于变化更新的中东欧国家森林覆盖制图
Forest Cover Mapping of Central and Eastern European Countries Based on Change Detection and Update
摘要
Abstract
[Objective]The Central and Eastern European Countries(CEEC)which are the Belt and Road initiative are important forces in Europe and link Asia and Europe.Forest resources monitoring helps understand the forest development in CEEC,and is the basis for forestry cooperation between China and CEEC.[Method]Taking CEEC as the study area,the cloudless images of CEEC in the growing season in 2020 are obtained based on the Google Earth Engine platform.The images are classified by random forest algorithm.The forest change information is obtained by the continue change detection and classification(CCDC)algorithm,and updated classification results by this information.Finally,the land cover results of CEEC are obtained.The results are evaluated and verified through the land use/cover area frame survey(LUCAS)data,visual interpretation data,and Food and Agricultural Organization of the United Nations statistical data(FAOSTAT).Finally,the mapping results are analyzed through Google high-resolution images.[Result]Results show that our map obtained the users'accuracy for forest type is 0.930 and 0.911 which validated by the LUCAS and visual interpretation data,the producer's accuracy for forest type is 0.860 and 0.956,respectively,overall accuracy is 0.810 and 0.881,respectively.The accuracy of our map is better than the GlobeLand30 2020 products,in which the user's accuracy for forest type is 0.920 and 0.900,while the producer's accuracy for forest type is 0.690 and 0.840,respectively,and the overall accuracy is 0.700 and 0.832.According to the research results,the overall forest coverage rate of CEEC is 39.6%,this result is closer to the FAOSTAT result(40.0%)than the GlobeLand30 2020 result(34.4%).The final mapping results are richer in detail than the GlobeLand30 2020 product and can more accurately reflect the distribution characteristics of forests.In 2020,the forest cover of CEEC is rich in the north,southeast,and southwest,and less in the south.Estonia,Latvia,Slovenia,Montenegro,and other countries have rich forest distribution,while Poland,Hungary,and other countries have relatively rare forest distribution.[Conclusion]This study has developed a forest cover mapping method based on change detection and update according to the application requirements of forest cover in CEEC and obtain a 2020 LC map.The product has high precision and provides a new reference for regional forest cover mapping research.This result is helpful in understanding the forest cover situation in CEEC.关键词
中东欧国家/Google Earth Engine/森林资源/遥感监测Key words
Central and Eastern European Countries(CEEC)/Google Earth Engine(GEE)/forest resource/remote sensing monitoring分类
农业科技引用本文复制引用
王春玲,史锴源,庞勇,蒙诗栎..基于变化更新的中东欧国家森林覆盖制图[J].林业科学,2024,60(5):116-126,11.基金项目
中央级公益性科研院所基本科研业务费专项资金重点项目"中国-中东欧林业合作联合研究中心平台构建"(CAFYBB2018GD001). （CAFYBB2018GD001）
