In order to improve the population grid data of Gansu Earthquake Agency, this paper takes Liangzhou District as the research area. According to the principle of 'there are people in houses, no people in houses', a linear model is established by using the area of single houses and night light VNP46A2. Through comparison with the area method, it is found that the population distribution obtained by the linear model with night light is more consistent with the actual situation. Moreover, the accuracy is also higher than that of the population data obtained only by the calculation of the building area, which indicates the feasibility of the night light VNP46A2 data in the economically developed township scale in Gansu Province, and finds a simple and high portability method for the township level fine population spatial work in Gansu Province.
Rapid acquisition of earthquake-stricken areas is helpful to carry out emergency rescue work efficiently, and also has important reference significance for the production of intensity map. In this paper, with the new generation night light image product suite (NASA's Black Marble product suite) developed by NASA as the data source, the two-time difference value method and significance test are used to detect the change area of the difference image before and after the Menyuan Ms6.9 earthquake in Qinghai Province, so as to identify and extract the earthquake affected areas. The extraction results show that the earthquake affected area in Minle County is the largest, and the macro comparison according to the field investigation site and intensity map, the extraction results are in line with the actual situation.
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