{"title":"Research and Practice of Remote Sensing Crop Water Consumption Monitoring Platform in China","authors":"He Chen, Di Zhang, Zheng Wei, Dingxing Xie","doi":"10.1109/ICCEAI55464.2022.00071","DOIUrl":null,"url":null,"abstract":"As a key link in water cycle, evapotranspiration (ET) contains over 60% of the total precipitation. ET is also vital component of global energy balance, which has a proportion of 60 present of net radiation. Since ET plays a critical role worldwide, especially in water management, it has been studied extensively in the past decades. To meet the actual needs of practical application for management departments at all levels in China, we developed a remote sensing-based monitoring platform to provide real-time estimation and short term forecast of water consumption and requirement without manual operation and maintenance. The platform built in a series of standard remote sensing and meteorological data processing program and a simple but robust forecast method was used and validated at 9 different regions that covers major grain producing areas and climatic zones. Results showed that the accuracy of water requirement forecast is over 80% up to 40 days leading time. By far, the demo of the platform is launched, and daily results were uploaded and stored in cloud server and provide online preview and data download to the whole public.","PeriodicalId":414181,"journal":{"name":"2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCEAI55464.2022.00071","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
As a key link in water cycle, evapotranspiration (ET) contains over 60% of the total precipitation. ET is also vital component of global energy balance, which has a proportion of 60 present of net radiation. Since ET plays a critical role worldwide, especially in water management, it has been studied extensively in the past decades. To meet the actual needs of practical application for management departments at all levels in China, we developed a remote sensing-based monitoring platform to provide real-time estimation and short term forecast of water consumption and requirement without manual operation and maintenance. The platform built in a series of standard remote sensing and meteorological data processing program and a simple but robust forecast method was used and validated at 9 different regions that covers major grain producing areas and climatic zones. Results showed that the accuracy of water requirement forecast is over 80% up to 40 days leading time. By far, the demo of the platform is launched, and daily results were uploaded and stored in cloud server and provide online preview and data download to the whole public.