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  • Presentation | GC33K: Remote Sensing for Sustainable Agriculture III Poster
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  • GC33K-0935: Contextualizing Remotely Sensed Crop Yield with Landscape Metrics for Precision Conservation Applications
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  • Board 0935‚ Hall EFG (Poster Hall)
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Author(s):
Noah Berkowitz, University of Nebraska Lincoln (First Author, Presenting Author)
Dan Uden, University of Nebraska-Lincoln
Trenton Franz, University of Nebraska Lincoln


Scientists can use satellite data to measure crop yields across extensive regions at precise time intervals. The collected data provides essential value because it shows both agricultural patterns and landscape transformations throughout time. Conservation groups, together with land managers, require straightforward methods to utilize this information effectively. The research analyzed satellite data to determine corn yield production in Nebraska rainfed fields throughout the last twenty years. The analysis of yield patterns involved three basic measurements, which included the number of crop patches and their connectivity, and the average size of each patch. The study of landscape features at different scales revealed areas with reduced crop productivity, which we named 'marginal' lands. The marginal cropland areas hold great importance for conservation because they provide chances to protect and sustainably manage these lands. The research includes conservation organizations with precise locations to direct their land protection initiatives, which helps them decide which areas need conservation or easement protection.



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