为分析土地利用类型变化对于区域碳储量的影响,本文基于哈尔滨市三期遥感影像分类结果,结合土壤碳密度以及地表植被碳密度,并通过马尔科夫模型预测2020年哈尔滨市土地利用类型变化情况,进而估算区域碳储量以及未来变化趋势.结果表明:近十年,哈尔滨市土地利用类型变化明显,使得本地区碳储量增加5×106t;根据马尔科夫模型预测,2020年哈尔滨市土地利用类型中,林地为2.79×104km2,耕地为1.95×104km2,水域为0.14×104 km2,建设用地为0.42×104km2,综合土地变化情况估算出2020年哈尔滨市碳储量为8.9×108t.研究表明基于RS的土地利用/土地覆被(LUCC)区域碳储量估算和转移研究对于区域发展具有一定的参考意义.%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.
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