Tishampati Dhar, C. Menges, D. Gray, J. Douglas, Leighton Wilksch
{"title":"支持精准农业与双极化TerraSAR-X产量预测和识别田间变化生成肥料处方图","authors":"Tishampati Dhar, C. Menges, D. Gray, J. Douglas, Leighton Wilksch","doi":"10.1109/IGARSS.2010.5650531","DOIUrl":null,"url":null,"abstract":"This paper presents studies carried out over 2 growing season in South Australia to evaluate the suitability of TerrSAR-X dual-polarimetric imagery for crop growth monitoring and yield prediction. End of season crops were observed in 2008 and significant correlation with yield was noted. Mid-season crops were observed in 2009 and due to the lower biomass no significant in field trends were observed in the SAR when compared with concurrently acquired ground NDVI sensor and multispectral optical data. Separability between different crop types is evident in both studies, but crop biomass has to be significant for any in-field variations to be apparent.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Supporting precision agriculture with dual-polarimetric TerraSAR-X - yield prediction and identification of in-field variations to generate fertilizer prescription maps\",\"authors\":\"Tishampati Dhar, C. Menges, D. Gray, J. Douglas, Leighton Wilksch\",\"doi\":\"10.1109/IGARSS.2010.5650531\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents studies carried out over 2 growing season in South Australia to evaluate the suitability of TerrSAR-X dual-polarimetric imagery for crop growth monitoring and yield prediction. End of season crops were observed in 2008 and significant correlation with yield was noted. Mid-season crops were observed in 2009 and due to the lower biomass no significant in field trends were observed in the SAR when compared with concurrently acquired ground NDVI sensor and multispectral optical data. Separability between different crop types is evident in both studies, but crop biomass has to be significant for any in-field variations to be apparent.\",\"PeriodicalId\":406785,\"journal\":{\"name\":\"2010 IEEE International Geoscience and Remote Sensing Symposium\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE International Geoscience and Remote Sensing Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IGARSS.2010.5650531\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Geoscience and Remote Sensing Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IGARSS.2010.5650531","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Supporting precision agriculture with dual-polarimetric TerraSAR-X - yield prediction and identification of in-field variations to generate fertilizer prescription maps
This paper presents studies carried out over 2 growing season in South Australia to evaluate the suitability of TerrSAR-X dual-polarimetric imagery for crop growth monitoring and yield prediction. End of season crops were observed in 2008 and significant correlation with yield was noted. Mid-season crops were observed in 2009 and due to the lower biomass no significant in field trends were observed in the SAR when compared with concurrently acquired ground NDVI sensor and multispectral optical data. Separability between different crop types is evident in both studies, but crop biomass has to be significant for any in-field variations to be apparent.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
