Integrating Remote Sensing and Spatiotemporal Statistics to Develop Prescription Maps for Variable Rate Irrigation Systems

Authors

Neil Hansen, Brigham Young University - ProvoFollow
Bryan Hopkins, Brigham Young UniversityFollow
Ruth Kerry, Brigham Young UniversityFollow
Ryan Jensen, Brigham Young UniversityFollow
Matthew Heaton, Brigham Young UniversityFollow
Ryan Christensen, Christensen Farms
Colin Campbell, Meter Environment, Inc.

Files

Description

Areas of Interest: Water use and conservation; spatio-temporal statistics; remote sensing; machine learning

Publication Date

8-2018

Publisher

Research Networking Conference

City

Provo

Keywords

Sustainable Development, Plant and Wildlife Sciences, Geography, Statistics

Recommended Citation

Hansen, Neil; Hopkins, Bryan; Kerry, Ruth; Jensen, Ryan; Heaton, Matthew; Christensen, Ryan; and Campbell, Colin, "Integrating Remote Sensing and Spatiotemporal Statistics to Develop Prescription Maps for Variable Rate Irrigation Systems" (2018). BYU Research Development Office Research Networking Conference. 336.
https://scholarsarchive.byu.edu/researchnetworking/336