森林工程2018，Vol.34Issue(2)：40-44,49,6.
基于RS的哈尔滨市土地利用变化对碳储量的影响
Influence of Land Use on Carbon Storage Based on RS in Harbin
摘要
Abstract
In order analyze the impact of land use change on regional carbon storage, based on the classification results of remote sensing images of Harbin, combined with the soil carbon density and the carbon density of the surface vegetation, and by Markov model to predict the changes of land use types in Harbin in 2020, the regional carbon reserves and uture trends were estimated. The results show that in the last ten years, the land use of Harbin had changed significantly, which had increased the carbon storage in the region by 5x106 tons. According to the prediction of Markov model, in the land use of Harbin in 2020, the area of forest is 2.79×104 km2, the area of cultivated land is 1.95×104 m2, the area of buildings is 0.42×104 km2, the area of water is 0.14×104 km2, which shows the carbon storage in Harbin is 8.9×108 tons. The study indicates that the estimation and transfer of the regional carbon storage based on land use/land cover (LUCC) and RS is of some significance to regional development.关键词
土地利用/遥感/碳储量/马尔科夫/哈尔滨Key words
Land use/remote sensing/carbon storage/Markov/Harbin分类
管理科学引用本文复制引用
李继红,支伟峰,陈文曲,梁勇奇,徐艺帆,张帆..基于RS的哈尔滨市土地利用变化对碳储量的影响[J].森林工程,2018,34(2):40-44,49,6.基金项目
黑龙江省博士后基金资助(LBH-Z10279) （LBH-Z10279）
中央高校基本科研业务费专项资金项目(2572014CB20) （2572014CB20）
哈尔滨市应用技术研究与开发项目(2015RQQXJ071) （2015RQQXJ071）
东北林业大学大学生创新项目(201610225156) （201610225156）
