Implementation of a new automatic stratification method using geospatial cropland data layers in NASS area frame construction

Abstract

A new automatic stratification method utilizing USDA National Agricultural Statistics Service (NASS) geospatial Cropland Data Layers (CDLs) was recently implemented in NASS operations. Recent research findings indicated that using the CDL stratification method rather than visual interpretation of satellite imagery and aerial photography (traditional method) to define percent cultivation of land areas resulted in Area Sampling Frames (ASF) constructed with improved accuracy, objectivity and efficiency at reduced cost [3]. This paper describes an operational ASF construction process that integrates the automated CDL stratification results with traditional editing/review procedures, a hybrid approach. New 2013/2014 ASFs for South Dakota and Oklahoma were successfully built using the new operational process and illustrated significant improvements in frame accuracy, operational efficiency, and cost.