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Field Data Collection Using Geographic Information Systems Technologies and iPads on the USDA’s June Area Frame Survey

Author

Listed:
  • Gerling, Michael
  • Lawson, Linda
  • Weaber, Jillayne
  • Dotts, Alan
  • Vardeman, Andrew
  • Wilson, Eric

Abstract

The National Agricultural Statistics Service (NASS) surveys farmers and ranchers across the United States and Puerto Rico in order to estimate crop production and number of livestock, to assess production practices, and to identify economic trends. The June Agricultural Survey (JAS) is an annual survey that provides information on U.S. crops, livestock, grain storage capacity, and number, type and size of farms. The JAS is comprised of two components, the List Survey and the Area Survey. The List Survey is comprised of agricultural operations known to NASS. The Area Survey is comprised of designated land areas known as segments and is utilized in measuring the incompleteness of the List. This study is focused on the Area portion, which will be abbreviated as JAS. The JAS sample is comprised of nearly 11,000 designated land areas known as segments. A typical segment is about one square mile -- equivalent to 640 acres. Each segment is outlined on an aerial photo (typically 2’ by 2’ in size) and provided to NASS’s field interviewers. Field interviewers visit these segments and identify the owners/operators of all land within the segment. Land is then categorized as agricultural or non-agricultural. For land where agricultural activity is occurring, a separate paper questionnaire is completed for each agricultural operation operating land within the segment. A team composed of staff from NASS and Iowa State University Center for Survey Statistics and Methodology developed a Computer Assisted Personal Interview (CAPI) instrument to conduct the JAS aerial imagery portion and collect field level information. Also, the team was tasked with testing field enumeration of grid segments (a new type of segment) that could make the JAS sample preparation process more efficient. The JAS-CAPI instrument was field tested in Pennsylvania, Indiana and Washington.

Suggested Citation

  • Gerling, Michael & Lawson, Linda & Weaber, Jillayne & Dotts, Alan & Vardeman, Andrew & Wilson, Eric, 2015. "Field Data Collection Using Geographic Information Systems Technologies and iPads on the USDA’s June Area Frame Survey," NASS Research Reports 234386, United States Department of Agriculture, National Agricultural Statistics Service.
  • Handle: RePEc:ags:unasrr:234386
    DOI: 10.22004/ag.econ.234386
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    File URL: https://ageconsearch.umn.edu/record/234386/files/JAS-CAPI_Phase_I_Report-July_21_2015.pdf
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    References listed on IDEAS

    as
    1. Boryan, Claire G. & Yang, Zhengwei, 2012. "A new land cover classification based stratification method for area sampling frame construction," NASS Research Reports 234361, United States Department of Agriculture, National Agricultural Statistics Service.
    2. repec:ags:unassr:234930 is not listed on IDEAS
    3. Gerling, Michael W. & Harris, 2010. "Technology Advancing Data Collection: Thin Client Computer Assisted Personal Interviewing in the National Agricultural Statistics Service’s 2010 Field Data Collection Program," NASS Research Reports 235086, United States Department of Agriculture, National Agricultural Statistics Service.
    4. Gerling, Michael W., 2004. "A New Look into Portable Electronic Devices for Field Data Collection in the National Agricultural Statistics Service," NASS Research Reports 234930, United States Department of Agriculture, National Agricultural Statistics Service.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Abreu, Denise, A. & Lawson, Linda A. & Hyman, Michael & Hardin, Rick & Gerling, Michael, 2017. "Collecting Data from a Permanent Grid Sampling Frame via a Mobile Mapping Instrument," NASS Research Reports 322824, United States Department of Agriculture, National Agricultural Statistics Service.
    2. Boryan, Claire G. & Lawson, Linda A. & Hyman, Michael & Abreu, Denise, A. & Gerling, Michael W. & Hardin, Rick, 2017. "Comparing Geographic Information System (GIS) Calculated Acreage to Farmer Reported Acreage Utilizing a Mobile Mapping Instrument," NASS Research Reports 322825, United States Department of Agriculture, National Agricultural Statistics Service.

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    Keywords

    Land Economics/Use; Research Methods/ Statistical Methods;

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