With an increasing historic library of satellite imagery and crop performance metrics derived from these products, ranging from vegetative indices to derived evapotranspiration, there are opportunities to identify both field scale and pixel scale temporally persistent crop performance patterns. It is widely known that remotely sensed imagery is an effective resource for mapping spatial variability of crop vigor. Many innovative agronomists and producers use remote sensing for spatial mapping of crop vigor and some using satellite imagery with crop yield mapping to identify crop management zones particularly for variable rate fertilizer management strategies. Although spatial mapping of crop performance on any particular year may be insightful, having some understanding of the temporal persistence of these cropping patterns across time is much more powerful. There are great opportunities to develop tools that evaluate temporally persistent patterns within specific fields but also at the field scale relating crop performance on one field to other fields across a region, county, or watershed. In this talk we describe and demonstrate an approach to track temporally persistence patterns within and between fields. This approach requires field boundary files, crop type, and historic remotely sensed imagery. We will be using seasonal evapotranspiration mapped from LANDSAT imagery using the METRIC approach. Field boundaries and crop mapping is sourced from NASS Cropscape maps. We will demonstrate this approach over a large region of irrigated agriculture in southern Idaho and a small watershed in dryland agriculture in north Idaho.

November 12, 2025

12:00 AM

Salt Lake City, UT

CANVAS 2025