{"title":"遥感数据与ALMANAC模型结合检索作物产量的研究","authors":"Sun Yan, Zhang Ce, Zhang Shuqing, Li Huapeng","doi":"10.1109/ICAE.2011.5943871","DOIUrl":null,"url":null,"abstract":"This paper takes LAI which is the key state variable of crop as combination point, achieve the assimilation between ALMANAC and MODIS LAI using simulated annealing algorithm. Compared Actual yield and assimilated ALMANAC's output, the result shows that assimilation is a feasible way to yield estimation, the result also shows that the number of external data assimilation has great impact on simulation.","PeriodicalId":168481,"journal":{"name":"2011 International Conference on New Technology of Agricultural","volume":"251 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Study on combination of remote sensing data and ALMANAC model to retrieve crop yield\",\"authors\":\"Sun Yan, Zhang Ce, Zhang Shuqing, Li Huapeng\",\"doi\":\"10.1109/ICAE.2011.5943871\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper takes LAI which is the key state variable of crop as combination point, achieve the assimilation between ALMANAC and MODIS LAI using simulated annealing algorithm. Compared Actual yield and assimilated ALMANAC's output, the result shows that assimilation is a feasible way to yield estimation, the result also shows that the number of external data assimilation has great impact on simulation.\",\"PeriodicalId\":168481,\"journal\":{\"name\":\"2011 International Conference on New Technology of Agricultural\",\"volume\":\"251 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-05-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on New Technology of Agricultural\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAE.2011.5943871\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on New Technology of Agricultural","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAE.2011.5943871","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Study on combination of remote sensing data and ALMANAC model to retrieve crop yield
This paper takes LAI which is the key state variable of crop as combination point, achieve the assimilation between ALMANAC and MODIS LAI using simulated annealing algorithm. Compared Actual yield and assimilated ALMANAC's output, the result shows that assimilation is a feasible way to yield estimation, the result also shows that the number of external data assimilation has great impact on simulation.