Source: Northwest Agriculture and Forest University submitted to NRP
IMPROVE IRRIGATION MANAGEMENT WITH REMOTE SENSING TECHNOLOGY
Sponsoring Institution
Agricultural Research Service/USDA
Project Status
ACTIVE
Funding Source
Reporting Frequency
Annual
Accession No.
0438032
Grant No.
(N/A)
Cumulative Award Amt.
(N/A)
Proposal No.
(N/A)
Multistate No.
(N/A)
Project Start Date
Jan 1, 2020
Project End Date
Dec 31, 2024
Grant Year
(N/A)
Program Code
[(N/A)]- (N/A)
Recipient Organization
Northwest Agriculture and Forest University
Yangling, Shaanxi 712100
Yangling,null null
Performing Department
(N/A)
Non Technical Summary
(N/A)
Animal Health Component
40%
Research Effort Categories
Basic
50%
Applied
40%
Developmental
10%
Classification

Knowledge Area (KA)Subject of Investigation (SOI)Field of Science (FOS)Percent
1020110102025%
1110210106025%
2031520202020%
2052499205030%
Goals / Objectives
The overall goal of this project is improve the sustainability of irrigated farming systems for agronomic producers in semi-arid and arid regions. The specific objectives are: 1. Develop methods to monitor crop water status and quantify crop evapotranspiration (ET) using remote sensing technology in arid and semi-arid northwest China. 2. Integrate multi-platform remote sensing data, such as ground, unmanned aerial systems (UASs), and satellites, to make irrigation management.
Project Methods
Advances in remote sensing technology have enabled the estimation of surface energy fluxes from satellite imagery and led to the development of a relatively direct satellite-based approach to estimate crop ET using an energy balance technique. However, The availability of satellite imagery at clear-sky days and its relatively low spatial resolution are the largest limitation of using satellite-based ET models. With the rapid advance of low-cost unmanned aerial systems (UASs) available on the market, producers have increasing interest in UAS-based remote sensing as a simple and promising tool to acquire spatial information within fields and to assist with decision-making. We will develop and evaluate a UAS-based remote sensing for estimating crop water use; fill the gap between satellite and UAS for irrigation scheduling in the area, and integrate multi-source of remotely sensed data for limited irrigation management.