{"title":"卫星环境探测与未来预测的魔力","authors":"","doi":"10.30534/ijatcse/2023/031252023","DOIUrl":null,"url":null,"abstract":"Climate change is one of the important issues that face the world in this technological era. We have used data collected from the publicly available GISTEMP data, the Global Surface Temperature Change data distributed by the National Aeronautics and Space Administration Goddard Institute for Space Studies (NASA-GISS). The data consisted of the mean surface temperature change with respect to baseline climatology corresponding to the period 1951-1980. The data covers the time period of 1961-2019. We studied the change in temperature in the countries like Greenland and India using the regression models. All the regression graphs were plotted in the Spyder software using python. From the regression models we observed the significant rise in temperature in these countries caused due to global warming. These models will help us to predict the change in temperature in future","PeriodicalId":129636,"journal":{"name":"International Journal of Advanced Trends in Computer Science and Engineering","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Magic of Environmental Detection and Future Prediction by Satellite\",\"authors\":\"\",\"doi\":\"10.30534/ijatcse/2023/031252023\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Climate change is one of the important issues that face the world in this technological era. We have used data collected from the publicly available GISTEMP data, the Global Surface Temperature Change data distributed by the National Aeronautics and Space Administration Goddard Institute for Space Studies (NASA-GISS). The data consisted of the mean surface temperature change with respect to baseline climatology corresponding to the period 1951-1980. The data covers the time period of 1961-2019. We studied the change in temperature in the countries like Greenland and India using the regression models. All the regression graphs were plotted in the Spyder software using python. From the regression models we observed the significant rise in temperature in these countries caused due to global warming. These models will help us to predict the change in temperature in future\",\"PeriodicalId\":129636,\"journal\":{\"name\":\"International Journal of Advanced Trends in Computer Science and Engineering\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-10-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Advanced Trends in Computer Science and Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.30534/ijatcse/2023/031252023\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Advanced Trends in Computer Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30534/ijatcse/2023/031252023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Magic of Environmental Detection and Future Prediction by Satellite
Climate change is one of the important issues that face the world in this technological era. We have used data collected from the publicly available GISTEMP data, the Global Surface Temperature Change data distributed by the National Aeronautics and Space Administration Goddard Institute for Space Studies (NASA-GISS). The data consisted of the mean surface temperature change with respect to baseline climatology corresponding to the period 1951-1980. The data covers the time period of 1961-2019. We studied the change in temperature in the countries like Greenland and India using the regression models. All the regression graphs were plotted in the Spyder software using python. From the regression models we observed the significant rise in temperature in these countries caused due to global warming. These models will help us to predict the change in temperature in future