Managing Global Resources for a Secure Future

2017 Annual Meeting | Oct. 22-25 | Tampa, FL

197-5 Google Earth Engine Eeflux Application Plus Surface Reflectance Calibration of Naip Imagery to Produce 1-m Vegetation Indices for Precision Agriculture.

See more from this Division: ASA Section: Climatology and Modeling
See more from this Session: Symposium--the Future of Remote Sensing for Agriculture: How This Information Can be Effectively Used for Decision Making

Tuesday, October 24, 2017: 10:25 AM
Tampa Convention Center, Room 5

Ayse Kilic, School of Natural Resources and Civil Engineering, University of Nebraska - Lincoln, Lincoln, NE
Abstract:
EEFlux – Google Earth Engine Evapotranspiration Flux – is an application of the METRIC algorithm for producing evapotranspiration (ET) maps from Landsat imagery on the Google Earth Engine enterprise. EEFlux provides open, web-based access to the entire global Landsat collection for years 1984 and onward. EEFlux uses endpoint calibration of cold and warm conditions in an image to assign ET thresholds. Calibration of EEFlux is done automatically, on a single scene basis, with adjustment allowed by the user. The web site for EEFlux is https://eeflux-level1.appspot.com/ . The intent of the EEFlux application is to provide all levels of users, including agricultural producers, with free and ready means to assess ET at the field scale in both near-real time and for historic periods.

The GEARUP routine, also on Google Earth Engine, is an application for helping homeowners manage lawn water use by providing estimates of lawn ET. GEARUP uses 1 meter NAIP imagery to produce high resolution vegetation indices. The NIR and red bands of NAIP are calibrated automatically using Landsat surface reflectance imagery, and are adjusted to represent different times of the year using Landsat. The calibrated NAIP imagery is also useful for precision agriculture applications where high resolution (1 m) imagery is important. The GEARUP application is available via a web interface at: https://residentialwateruse.appspot.com/

See more from this Division: ASA Section: Climatology and Modeling
See more from this Session: Symposium--the Future of Remote Sensing for Agriculture: How This Information Can be Effectively Used for Decision Making