多尺度地表覆盖下的碳储量变化监测对比

Comparison of monitoring carbon stock changes under multi-scale land cover data

针对基于地表覆盖数据开展碳储量变化监测存在的尺度效应问题,本文以杭州城西科创大走廊为例,研究了不同尺度地表覆盖数据在地表破碎且变化频繁区域的适用性。通过高分辨率影像获取的粗分类和细分类地表覆盖数据,与常用的中低分辨率地表覆盖数据,采用簿记模型分别计算了研究区近13年碳储量变化。发现基于中低分辨率地表覆盖计算的碳储量变化值相较于基于高分辨率粗分类地表覆盖,减少了3 021.24 tC;基于高分辨率粗分类地表覆盖计算的碳储量变化值相较于基于高分辨率细分类地表覆盖,减少了685.43 tC。结果表明,在地表破碎且变化频繁区域,基于不同尺度地表覆盖计算的碳储量变化值存在显著差异,高分辨率细分类地表覆盖数据适用性更强。

Aiming at the scale effect of monitoring carbon stock changes based on land cover data,this paper took the example of Hangzhou Chengxi Sci-tech Innovation Corridor to study the applicability of different scales of land cover data in the area with fragmented surface and frequent changes.The coarse and fine classification land cover data obtained from high-resolution images,and the commonly used medium-and low-resolution land cover data,were used to calculate the carbon stock changes in the study area in the past 13 years by using a bookkeeping model.It was found that the value of carbon stock change calculated based on the medium-low resolution land cover decreased by 3 021.24 tC,compared with that based on the high-resolution coarse classification land cover.And the value of carbon stock change calculated based on the high-resolution coarse classification land cover decreased by 685.43 tC,compared with that based on the high-resolution fine classification land cover.The results showed that,in the area of fragmented surface with frequent changes,the carbon stock change values calculated based on different scales of land cover were significantly different,and the high-resolution fine classification land cover data were more applicable.