Conterminous United States Crop Field Size Quantification from Multi-temporal Landsat Data

Abstract:

Field sizes are indicative of the degree of agricultural capital investment, mechanization and labor intensity. Information on the size of fields is needed to plan and understand these factors, and may help the allocation of agricultural resources. The Landsat satellites provide the longest global land observation record and their data have potential for monitoring field sizes. A recently published automated methodology to extract agricultural crop fields was refined and applied to 30 m weekly Landsat 5 and 7 time series of year 2010 in the range of all the conterminous United States (CONUS). For the first time, spatially explicit CONUS field size maps and derived information are presented. A total of 4.18 million fields were extracted with mean and median field sizes of 0.193 km² and 0.278 km², respectively. There were discernable patterns between field size and the majority crop type as defined by the United States Department of Agriculture (USDA) cropland data layer (CDL) classification. In general, larger field sizes occurred where a greater proportion of the land was dedicated to agriculture, predominantly in the U.S. Wheat and Corn belts, and in regions of irrigated agriculture. The CONUS field size histogram was skewed, and 50% of the extracted fields had sizes greater than or smaller than 0.361 km², and there were four distinct peaks that corresponded closely to sizes equivalent to fields with 0.25 × 0.25 mile, 0.25 × 0.5 mile, 0.5 × 0.5 mile, and 0.5 × 1 mile side dimensions. The results of validation by comparison with independent field boundaries at 48 subsets selected across the 16 states with the greatest harvested cropland area are summarized. The presentation concludes with a discussion of the implications of this NASA funded research and challenges for field size extraction from global coverage long term satellite data.