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近年来,DMSP/OLS夜间灯光数据已被广泛应用于城市空间格局和城市化过程、人类活动及效应、经济水平、生态环境影响、电力能源消耗量和灾害分析等领域。本文利用DMSP/OLS的稳定灯光数据产品,首先,以辅助资料的空间对比法确定城市中心城区范围最小阈值,然后,提取DMSP数据中的每个极大值及一定范围内的临近值,作为城市中心城区范围,并将提取的范围与作为辅助资料的MODIS土地覆盖数据中相应的城市中心城区范围作线性回归分析,进而获得估算城市中心城区范围的线性模型。经验证其结果预测吻合度达到82.06%,平均相对误差为8.47%,说明利用该方法提取城市中心城区范围具有一定的可行性,可较准确地提取发展水平不同的城市的中心城区范围。
In recent years, DMSP / OLS nighttime light data has been widely used in such fields as urban spatial pattern and urbanization, human activities and effects, economic level, ecological and environmental impact, power energy consumption and disaster analysis. In this paper, the DMSP / OLS stable light data products are used. Firstly, the minimum threshold of urban central urban area is determined by the spatial contrast method of auxiliary data. Then, each maximum value in DMSP data and the adjacent value within a certain range are extracted as urban Center urban area, and make linear regression analysis between the scope of extraction and the corresponding city center urban area in MODIS land cover data as auxiliary data, and then obtain a linear model to estimate the urban center area of urban area. The results show that the predicted degree of coincidence is 82.06% and the average relative error is 8.47%, which shows that it is feasible to extract the urban central urban area by this method and the urban area with different levels of development can be extracted accurately.