By Blake Balzan1, with Ramesh Sivanpillai PhD2

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Presentation transcript:

Delineating crop management zones within alfalfa fields using Landsat images By Blake Balzan1, with Ramesh Sivanpillai PhD2 1. Ecosystem Science & Management, 2. Department of Botany www.plantnexgrow.com

Agriculture in Wyoming Contribution to economy (crops) Hay is top crop in the State 2 million tons worth $390 million 990,000 acres averaging 2tons/acre Difficulties farmers face .. Short growing seasons 3-4 alfalfa cuttings/year Soil fertility, damages (wind) Successful growing season is important Brandt, R. Hussey, N 2014. Wyoming Agriculture Statistics

Crop growth in field Variability can reduce yield and profit More in crops such as sugar beets, barley, wheat than alfalfa Cost related to variability Equipment issues Remote Sensing offers a way to monitor the variability in crop growth

What is remote sensing Data collected by airplanes or satellites, and now hand-held sensors, and UAVs Data is in the form of images Visible and invisible portion of the electromagnetic spectrum

Remote Sensing Landsat 5 1986-2011 30m spatial resolution 6 bands 3 visible (BGR) 3 invisible (IR) Once every 16 days commons.wikimedia.org

Examples: Visible, infrared 1, & infrared 2 images Images: USGS

Variability in crop growth Uniform, Low Variability High Variability Images: USGS

Monitoring with Remote Sensing Is the variability happening in one year or over multiple years? If it happens over multiple years, in the same pattern – then fields have to be zoned Precision agriculture Each zone (high, medium, low) are managed differently

Study Area Farm is located 3 miles west of Wheatland WY. Landsat images acquired on. June 16, 2008 June 21, 2009 June 8, 2010 Were downloaded from the USGS website Courtesy: Google Maps

Processing Images were converted to Normalized Difference Vegetation Index (NIR - Red) / (NIR + Red) Measure of vigor (-1,+1) High vigor (growth) – towards + 1 No growth, water, - towards -1 earthobservatory.nasa.gov

Processing NDVI images for each field was reclassified based on its median value IF NDVI > Median THEN Good growth IF NDVI < Median THEN Poor growth Pixels were assigned to good or poor growth classes

Fields regrouped into good (green) and poor (tan) classes for 2008, 2010 & 2011

Combine multiple years of info -> single image 2008 2010 2011 Final image class G G G Above median 3 years G G P G P G Above median 2 years P G G .. … P P P Below median 3 years

Final map

Recommendation to the farmer 22 acres had good growth in 2 years 13 acres had good growth in 1 year This image will help the farmer to collect Soil samples Apply fertilizer Instead of treating the entire field as 1 unit

Acknowledgement University of Wyoming Extension & WyomingView Blake Balzan