Knowledge Resource Center for Ecological Environment in Arid Area
| 项目编号 | 1016416 |
| Automation of Satellite-based Evapotranspiration Procedures for use in Agricultural Water Management | |
| Allen, Richard | |
| 主持机构 | SAES - UNIVERSITY OF IDAHO |
| 开始日期 | 2018 |
| 结束日期 | 2023 |
| 资助机构 | US-NIFA（美国食品与农业研究所） |
| 语种 | 英语 |
| 国家 | 美国 |
| 中文简介 | 2050 - Hydrology |
| 英文简介 | Goals / Objectives Narrative:(1) the importance of the problem to Idaho's agriculture, rural life, and general public of Idaho, the region or the country;Evapotranspiration (ET) represents the consumed component of a liquid water resource and, following precipitation, is the largest component of the hydrologic cycle. Water consumption by ET for irrigated agriculture in the US is approximately 70 million acre-feet per year (85 million Megaliters (Ml)) (Hutson et al. 2004).Agriculture in the West is facing severe competition for the limited water supplies available from surface streams and aquifer systems. Increased demands for instream flows for local and anadromous fish protection, water quality maintenance, and recreation are now coupled with the historical competition among irrigation, hydropower, navigation, municipalities and industry. Conversion of agricultural lands to suburban and small-scale rural use is widespread and brings change to the complexion of the water user culture and to the hydrology of river and ground-water flow systems. Within the irrigation sector, there is competition between surface and ground-water, and between senior and junior users.Satellite-based methods for estimating ET have progressed substantially during the past 20 years, including in Idaho. The UI METRIC process (Mapping Evapotranspiration at high Resolution using Internalized Calibration) was developed in 2002 and has evolved since that time into a relatively accurate and dependable process that is used for operational processes by the Idaho Department of Water Resources (IDWR) (Allen et al., 2007a,b). METRIC uses Landsat satellite imagery and produces maps of ET over extensive areas with 30 m x 30 m resolution (pixel size). The 30 m x 30 m size allows users to discern ET at agricultural field scales.Over the past five years, the METRIC process has been adapted to operate on the Google Earth Engine, which is a very fast and publicly available computing system. That adaptation of METRIC is named EEFlux (Earth Engine ET flux) and can be operated by any user via a web site (a beta version of EEFlux is accessible at eeflux-level1.appspot.com . Because of its operation by professional and novice users alike, EEFlux requires an automated form of internal calibration and operation. This contrasts with METRIC's requirement for manual image review and calibration to obtain highest accuracy needed to support important operational applications in water management and water rights management by entities such as IDWR, the US Bureau of Reclamation and by water resources departments of other states.EEFlux needs to produce valid estimates of spatial ET at essentially all locations on the globe, including tropical rainforests, deserts, mountainous regions, as well as for irrigated agriculture. Calibration of EEFlux, as with METRIC, utilizes 'extreme' surface temperature ranges in an image and associates these with expected ET rates. In EEFlux, this calibration process is automated. The automated calibration process currently performs relatively well about 80% of the time, but has difficulty in identifying a suitable calibration, and consequently, accurate ET estimation on its own. Development of improvements in automatic calibration of EEFlux have been carried into the stand-alone METRIC process by a number of users (Allen et al., 2013).(2) reasons for doing the work [such as the needs the project will fill] and doing it at this time;Improvements in accuracy and consistency of automated EEFlux (and METRIC) calibrations is needed in the near future as usage of maps of spatial ET increases in local, state and national applications for water resources management and planning. The public has begun to 'insist' on fully automated, yet accurate estimates for water consumption. Further research is needed to apply new statistical and other search techniques to improve the robustness of automated calibration. My research group, as the developers of METRIC and as co-developers of EEFlux, are well positioned to conduct this important work.(3) ways in which public welfare andGoals /or scientific knowledge will be advanced (i.e., anticipated benefits and impacts). In this section you must state why the research is important to the Director, scientists, elected officials, and USDAGoals /NIFA reviewers.As remaining water supplies for irrigation become more scarce and as more irrigation supplies are marketed to other interests, accurate knowledge of actual water consumption rates via ET will become paramount. Under water shortages, utilization of deficit irrigation or constrained irrigation will increase, requiring advanced estimation of ET to economically manage water allocation strategies. Sustainable management of of irrigation will require better quantification and management of ET losses, including direct losses of water to soil evaporation vs. water transpired through crops.Conflicts among junior and senior ground-water pumpers and among ground-water pumpers and senior surface water users require better and more efficient ways to assess the extent and nature of injuries among individuals and among user groups. A majority of impacts and injury stems from the ET of the crops irrigated. Quantification of the ultimate hydrologic and economic impacts of changes in water allocation and management will require elevated levels of accuracy in quantifying all hydrologic components including evapotranspiration.The availability of fully automated spatial ET procedures such as EEFlux and METRIC that produce accurate and dependable estimates of ET over extensive areas and in near-real time will provide a foundation for advances in high-technology water management.GoalsEvolve the auto-calibration process for EEFlux to be robust and stable over a wide range of land-use types, times of the year, and geographic locations.Enable the running of EEFlux and METRIC in a fully automated fashion, allowing users to select, process, and download ET results globally.Construct various means to inform and encourage users to utilize the applications and products in irrigation and water resources related operationsObjectivesFor Goal 1:Build upon the Allen et al. (2013) strategies for automated calibration to further develop search and statistical techniques to determine good calibration endpoints.Utilize manually calibrated ET images from METRIC to verify and assess automated proceduresAdvance the current candidacy rating method employed in EEFlux to better identify and isolate calibration pointsFor Goal 2:Continue development of the Google EEFlux web based interface (i.e., eeflux-level1.appspot.com ) to facilitate user access and downloading of ET products and ingestion into Geographical Information Systems (GIS) and other applications for use in irrigation and water resources managementContinue development of computer scripts for METRIC that enable application by less-experienced users with the assistance of automated calibrationsupport open-access by large numbers of usersFor Goal 3:Further develop descriptions and instructions for operating EEFlux and METRIC in both technical and lay terms to explain assumptions and limitations of the applications as well as step by step means to operate the applications and means to make accuracy assessmentsPublish the descriptions and examples of applications and accuracy assessments in both journal papers and as posts on web sites.Project Methods For Goal 1:Allen et al. (2013) summarized strategies for automated calibration of METRIC-like methods to identify and select calibration endpoints. Additional techniques will be devised and tested using manual calibrations. Efficient means for applying the search and statistical techniques will be formulated and tested.Automated calibrations will be compared against manually calibrated ET images from METRIC to verify and assess automated proceduresStatistical methods will be complemented by the use of candidacy ratings for all 30 million pixels in a Landsat image. Candidacy ratings currently used in EEFlux will be a starting point (based on land use, vegetation amount, antecedent precipitation, land slope, organic cover, and adjacency uniformity)For Goal 2:The Google EEFlux web based interface (i.e., eeflux-level1.appspot.com ) will continue to be evolved to provide easy to understand and follow operation of EEFlux and to facilitate user access and downloading of ET productsCurrent computer scripts for METRIC written in ArcPy and ERDAS will be ported to python-GDAL code to enable cloud-based computing on national computer systems. Automated calibration straties will be implemented to enable batch processing and application by less-experienced users.The Google EEFlux web site will be tested to insure supporting large numbers of concurrent usersFor Goal 3:Expert instruction writing services and instructions will be consulted to guide the further development of descriptions and instructions for operating EEFlux and METRIC in both technical and lay terms to explain assumptions and limitations of the applications as well as step by step means to operate the applications and means to make accuracy assessmentsSummarize all work, efforts and testing results in both journal papers and as posts on web sites.Milestones and indicators of success will include increases in web-based usage of EEFlux, ingestion of feedback by EEFlux and METRIC users in regard to accuracy and appropriateness of data. Other milestones will be the production of relatively high accuracy and consistency of automated calibration and ET production. |
| 英文关键词 | evapotranspiration landsat energy balance remote sensing irrigation |
| 来源学科分类 | 2050 - Hydrology |
| 资源类型 | 项目 |
| 条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/356110 |
| 推荐引用方式 GB/T 7714 | Allen, Richard.Automation of Satellite-based Evapotranspiration Procedures for use in Agricultural Water Management.2018. |
| 条目包含的文件 | 条目无相关文件。 | |||||
| 个性服务 |
| 推荐该条目 |
| 保存到收藏夹 |
| 导出为Endnote文件 |
| 谷歌学术 |
| 谷歌学术中相似的文章 |
| [Allen, Richard]的文章 |
| 百度学术 |
| 百度学术中相似的文章 |
| [Allen, Richard]的文章 |
| 必应学术 |
| 必应学术中相似的文章 |
| [Allen, Richard]的文章 |
| 相关权益政策 |
| 暂无数据 |
| 收藏/分享 |
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
