Innovative Uses of Data Mining Techniques in the Production of Official Statistics Jaki McCarthy, Thomas Jacob, and Dale Atkinson National Agricultural Statistics Service, US Department of Agriculture 3251 Old Lee Highwa

Source URL: nass.usda.gov

PRESS RELEASE NATIONAL AGRICULTURAL STATISTICS SERVICE United States Department of Agriculture • Washington, DC[removed]Northwest Regional Field Office • Olympia, WA[removed]Ag Statistics Hotline: [removed] • www.

Source URL: www.nass.usda.gov

• Hops
• Oregon
• Idaho
• United States
• Government
• States of the United States
• National Agricultural Statistics Service
• Chinook

Developing Geoprocessing Service for Cropland Data Layer Thematic Map Creation Weiguo Han1, ZhengWei Yang2, Liping Di1 1Center for Spatial Information Science and Systems

Source URL: nass.usda.gov

• Geodesy
• Geomatics
• Geospatial analysis
• Geoprocessing
• Geoinformatics
• Science
• Planetary science
• Cartography
• Geographic information systems
• Geography

Exploring the Relationship Between Survey Participation and Survey Sponsorship: What do Respondents and Nonrespondents Think of Us? By Jaki Stanley McCarthy, Jay V. Johnson, and Kathleen Ott National Agricultural Statist

Source URL: nass.usda.gov

• Survey methodology
• Data collection
• Research methods
• Evaluation methods
• National Agricultural Statistics Service
• Response rate
• Survey data collection
• Self-report study
• Non-response bias
• Statistics
• Science
• Sampling

A texture-enhancement procedure for separating orchard from forest in Thematic Mapper data DANIEL K. GORDONt and WARREN R. PHILIPSON CLEARS, Cornell University, Hollister Hall, Ithaca, New York 14853, U.S.A.

Source URL: nass.usda.gov

• Thematic Mapper
• Pixel
• Texture mapping
• Orchard
• Remote sensing
• Imaging
• Geography
• Image processing
• Computer graphics
• Landsat program

EVALUATION OF INTEGER WEIGHTING FOR THE 1997 CENSUS OF AGRICULTURE, by Wendy Scholetzky, Sampling and Estimation Research Section, Research Division, National Agricultural Statistics Service, U.S. Department of Agricultu

Source URL: nass.usda.gov

• Rounding
• Science
• Mathematics
• Sampling
• Survey methodology
• Systematic sampling

Identifying Sources of Survey Errors: the 2007 Classification Error Survey for the United States Census of Agriculture Denise A Abreu1, Jaki S. McCarthy1 1 USDA, National Agricultural Statistics Service, Research and De

Source URL: nass.usda.gov

• Census
• Demography
• Genealogy
• Population
• National Agricultural Statistics Service
• Statistics
• Survey methodology
• Sampling

Web Service – Beased Vegetation Condition Monitoring System - VegScape Zhengwei Yang†, Genong Yu‡, Liping Di‡, Bei Zhang‡, Weiguo Han‡, Rick Mueller† INTRODUCTION The United States Department of Agriculture

Source URL: nass.usda.gov

• Normalized Difference Vegetation Index
• Science
• Ecology
• EVI
• Geographic information system
• Moderate-Resolution Imaging Spectroradiometer
• Vegetation
• Advanced Very High Resolution Radiometer
• Open Geospatial Consortium
• Remote sensing
• Earth
• Biology

National Agricultural Statistics Service FACT FINDERS FOR AGRICULTURE UNITED STATES DEPARTMENT OF AGRICULTURE Hogs and Pigs Estimating Program • Inventory and pig crop estimates published quarterly

Source URL: nass.usda.gov

• Agriculture
• Zoology
• Biology
• Livestock
• Pig farming
• Domestic pig

Exploring U.S Cropland – A Web Service based Cropland Data Layer Dissemination, Visualization and Querying System Zhengwei Yang†, Liping Di‡, Weiguo Han‡, Genong Yu‡, Rick Mueller† WEB SERVICE FOR AUTOMATIC D

Source URL: nass.usda.gov

• Measurement
• Cartography
• Geodesy
• Geography
• Geospatial analysis
• Business Process Execution Language
• Analytics
• National Agricultural Statistics Service
• Geographic information systems
• Science
• Open Geospatial Consortium