A. Almeida, Craig Baillie, D. Worledge, P. Smethurst, R. Dutta, A. Terhorst, T. Franz
{"title":"利用宇宙射线和电容传感器网络定量土壤水分的空间分布","authors":"A. Almeida, Craig Baillie, D. Worledge, P. Smethurst, R. Dutta, A. Terhorst, T. Franz","doi":"10.1109/ICSENS.2013.6688468","DOIUrl":null,"url":null,"abstract":"This study combines soil moisture capacitance probes and cosmic-ray neutron probe with a Fuzzy Inference System to estimate variability of soil moisture in a ~28 ha circle over time. The technique demonstrates that the cosmic-ray neutron probe's average neutron count and a network of capacitance probes may be useful for estimating spatial and temporal variability in soil moisture patterns within the probe's footprint.","PeriodicalId":258260,"journal":{"name":"2013 IEEE SENSORS","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Quantifying spatial distribution of soil moisture using a cosmic ray and capacitance sensor network\",\"authors\":\"A. Almeida, Craig Baillie, D. Worledge, P. Smethurst, R. Dutta, A. Terhorst, T. Franz\",\"doi\":\"10.1109/ICSENS.2013.6688468\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study combines soil moisture capacitance probes and cosmic-ray neutron probe with a Fuzzy Inference System to estimate variability of soil moisture in a ~28 ha circle over time. The technique demonstrates that the cosmic-ray neutron probe's average neutron count and a network of capacitance probes may be useful for estimating spatial and temporal variability in soil moisture patterns within the probe's footprint.\",\"PeriodicalId\":258260,\"journal\":{\"name\":\"2013 IEEE SENSORS\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE SENSORS\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSENS.2013.6688468\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE SENSORS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSENS.2013.6688468","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Quantifying spatial distribution of soil moisture using a cosmic ray and capacitance sensor network
This study combines soil moisture capacitance probes and cosmic-ray neutron probe with a Fuzzy Inference System to estimate variability of soil moisture in a ~28 ha circle over time. The technique demonstrates that the cosmic-ray neutron probe's average neutron count and a network of capacitance probes may be useful for estimating spatial and temporal variability in soil moisture patterns within the probe's footprint.