IDEAS home Printed from https://ideas.repec.org/p/ags/unasrr/234386.html
   My bibliography  Save this paper

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
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/234386/files/JAS-CAPI_Phase_I_Report-July_21_2015.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.234386?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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., 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.
    4. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. repec:ags:unassr:234386 is not listed on IDEAS
    2. repec:ags:unassr:234928 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. Ortmann, Gerald F. & King, Robert P., 2006. "Small-Scale Farmers in South Africa: Can Agricultural Cooperatives Facilitate Access to Input and Product Markets?," Staff Papers 13930, University of Minnesota, Department of Applied Economics.
    5. Md. Shahinoor Rahman & Liping Di & Eugene Yu & Chen Zhang & Hossain Mohiuddin, 2019. "In-Season Major Crop-Type Identification for US Cropland from Landsat Images Using Crop-Rotation Pattern and Progressive Data Classification," Agriculture, MDPI, vol. 9(1), pages 1-21, January.
    6. Neas, Kathy & Molina, Jubal & Hardegree, Jason & Gerling, Michael W., 2006. "Using Personal Digital Assistants for the 2004 Cotton Objective Yield Survey," NASS Research Reports 234928, United States Department of Agriculture, National Agricultural Statistics Service.
    7. repec:ags:unassr:235086 is not listed on IDEAS

    More about this item

    Keywords

    Land Economics/Use; Research Methods/ Statistical Methods;

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:unasrr:234386. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://www.nass.usda.gov/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.