Access the issue online at: http://www.uwyo.edu/uwexpstn/publications/reflections/reflections-2013-web.pdf (4.2MB)
* * * * * * * * * * *
Under precision-agriculture or site-specific management practices, farmers split fields into discrete zones based upon underlying soil properties and past crop growth patterns. By dividing the field into zones, a farmer can devote more resources to zones with medium to low growth to increase output.
University of Wyoming students enrolled in the remote sensing for agricultural management course are taking advantage of this to monitor fields in Wyoming or their home states.
|Figure 1: Landsat images revealed differences in the sugar beet growth for the |
2011 growing season at a farm near Lovell.
The second field showed increases in high and medium categories and decreases in low and bare ground categories. While no part of this field was classified as high growth in 2007, four acres witnessed high growth in 2009. On the other hand, areas of low growth decreased from approximately 11 acres in 2007 to 5 acres in 2009.
These examples demonstrate how information derived from Landsat images can be used to identify areas where crop growth varies between years. Farmers and crop consultants can use this information to devise suit-able management plans for increasing crop growth.