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United States Department of Agriculture (USDA) 2019

AGRICULTURAL SALINITY MANAGEMENT VIA AN INTEGRATION OF PROXIMAL AND REMOTE SENSING WITH BIG GEODATA MODELING

Salinity Remote Sensing

United States Department of Agriculture (USDA) National Institute of Food and Agriculture

Titre : AGRICULTURAL SALINITY MANAGEMENT VIA AN INTEGRATION OF PROXIMAL AND REMOTE SENSING WITH BIG GEODATA MODELING

Identification : 1019467

Pays : Etats Unis

Durée : START : 01 JUL 2019 TERM : 30 JUN 2022

Résumé
For irrigation to be sustainable in arid and semi-arid regions, the salt balance of the soil root zone must be maintained by irrigating in excess of a crop’s water requirements. The extra irrigation water leaches salts down into the subsurface and prevents harmful salinity build-up near the surface (0-1 m depth). However, the traditional practice of over-irrigating for salinity management is being scrutinized strongly due to increasing water scarcity. This project aims to combine proximal and remote sensing with new, multi-scale, high-resolution big geodata modeling to provide accurate information on irrigation requirements for optimal crop growth and salinity control. The area of interest in this project is the Central, Coachella, Imperial, Salinas, and San Jacinto Valleys of California. We will use available USDA-ARS and University of California historical (mid-1970s - present) soil salinity datasets, as well as new surveys, to calibrate a machine-learning salinity prediction model based on remote sensing and other geodata. Then, available spatial evapotranspiration datasets will be integrated with the salinity prediction to provide early season irrigation advice. Example field data include real-time spatial evapotranspiration estimates, remote-sensing canopy reflectance, historical soil datasets, and new field-scale salinity surveys with proximal sensing and micro-scale solute transport modeling. Salinity predictions and water management advice will be delivered through an interactive online geographical information systems decision support tool. Success of this project will significantly help mitigate the footprint of agriculture in water-scarce US and global farmland by increasing water use efficiency and maintaining long-term soil quality, while sustaining and improving crop yields. The main beneficiaries of this project are American farmers, irrigation consultants, and state and federal natural-resource scientists and managers

Performing Institution : The Regents of University of California
Investigator : Scudiero, E. ; Corwin, DE, L.. ; Skaggs, TO, H.. ; Bali, KH, . ; Eldawy, AH,

Présentation : USDA (NIFA)

Page publiée le 24 novembre 2021