EAGER SitS: Quantifying the value of information for sensor placements to improve soil signals for agricultural water management

EAGER SitS：量化传感器放置信息的价值，以改善农业用水管理的土壤信号

• 批准号: 2427554
• 负责人: Ashok Mishra
• 金额: $ 30万
• 依托单位: Texas A&M Engineering Experiment Station
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-04-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2427554&HistoricalAwards=false
• 关键词: EAGER; SitS; Quantifying; value; information

Given the reliance of global food security on robust agricultural water management, there is a need to better inform and improve understanding of soil moisture signals in different types of environments. Such signals are an important input for agricultural water management. The lack of proper understanding of soil moisture signals remains a persistent challenge in sustainable agricultural management, especially during drought conditions. Developing such an understanding is the subject of this research.The spatial heterogeneity and variability of soil moisture greatly hinders the use of point scale in situ monitoring for capturing the dynamics of this variable. Although remote sensing products are available to provide soil moisture information, they are limited in providing only aggregated information at coarse resolution and are often characterized by large uncertainty, which is unsuitable for agricultural water management that requires finer/local scale information. The robust design of soil moisture monitoring (sensor) networks to be pursued by this project is targeted to ensure the sufficient and adequate representation of data provided to stakeholders (e.g. farmers and ranchers) so that they can make the most informed decisions possible concerning their own water management needs.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

鉴于全球粮食安全对强大的农业水管理的依赖，需要更好地告知和改善对不同类型环境中土壤水分信号的了解。这些信号是农业水管理的重要意见。在可持续农业管理中，尤其是在干旱条件下，缺乏对土壤水分信号的正确了解仍然是一项持续的挑战。这项研究的主题是建立这种理解的主题。土壤水分的空间异质性和可变性极大地阻碍了点尺度原位监测来捕获该变量的动力学。尽管遥感产品可用于提供土壤水分信息，但它们仅在粗分辨率下仅提供汇总信息，并且通常以较大的不确定性为特征，这不适用于需要更精细/本地规模信息的农业水管理。该项目要追求的土壤水分监测（传感器）网络的可靠设计旨在确保提供给予利益相关者（例如农民和牧场）的数据足够和足够的数据，以便他们可以根据自己的智力和范围的依据来评估自己的水平范围。 标准。