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ranking for future frame updates. USDA National Agricultural Statistics Service Internal
Report.
Dunham, P., Weymann, D., & Azuma, D. (2003). A comparison of stratification effectiveness
between the national land cover data set and photointerpretation in western Oregon. In
R.E. McRoberts et al., (Eds.)., Proceeding of the Third Annual Forest Inventory and Analysis
Symposium; October 17–19 2001; Traverse City, MI. Gen. Tech. Rep. NC-230. St. Paul, MN:
U.S. Department of Agriculture, Forest Service, North Central Research Station: 63–68.
ESA. (2017a). Copernicus open access hub. https://scihub.copernicus.eu/. Last accessed 23 April
2017.
ESA. (2017b). Sentinel 1 Toolbox. https://sentinel.esa.int/web/sentinel/toolboxes/sentinel-1. Last
accessed 24 April 2017.
Faulkenberry, G., & Garoui, A. (1991). Estimating a population total using an area frame. Journal
of the American Statistical Association, 86(414), 445–449.
FAO Multiple Frame Agricultural Surveys. Volume 2 (1998): Agricultural survey programmes
based on area frame or dual frame (area and list) sample designs. FAO Statistical Development
Series no. 10. Rome: FO. 274.
Ford, B. I., Nealon, J., & Tortora, R. D. (1986). Area frame estimators in agricultural surveys;
sampling versus non sampling errors. Agricultural Economics research, 38(2), 1–10.
Gallego, F. J., Feunette, I., & Cargagna, E. (1994). Two stage area frame sampling on square
segments for farm surveys. Survey Methodology, 20, 107–115.
Gallego, F. J., Carfagna, E., & Peedell, S. (1999). The use of Corine Land Cover to improve area
frame survey estimates in Spain. Research in Official Statistics, 2(2), 99–122.
Gallego, J., & Delincè, J. (2010). The European land use and cover area-frame statistical survey. In
R. Benedetti, M. Bee, G. Espa, & F. Piersimoni (Eds.), Agricultural survey methods
(pp. 151–168). Chichester: Wiley.
Google. (2017). Google earth street view data. https://www.google.com/maps/streetview/. Last
accessed 24 April 2017.
Han, W., Yang, Z., Di, L., & Mueller, R. (2012). CropScape: A web service based application for
exploring and disseminating US conterminous geospatial cropland data products for decision
support. Computer and Electronics in Agriculture, 84, 111–123.
Hansen, M. H., & Wendt, D. G. (2000). Using classified Landsat Thematic Mapper data for
stratification in a statewide forest inventory. In R. E. McRoberts et al. (Eds.)., Proceeding of
the first annual forest inventory and analysis symposium (Gen. Tech. Rep. NC-213). St. Paul,
MN: U.S. Department of Agriculture, Forest Service, North Central Research Station: 20–27,
2000.
Hanuschak, G. A., Morrisey, K. M. (1977). Pilot study of the potential contributions for Landsat
data in the construction of area sampling frames. Statistical Reporting Service Staff Report,
Washington, DC. USDA. http://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/19780007593_
1978007593.pdf. Last accessed 04/24/2017) / 22/2015.
Heald, J. (2002). USDA establishes a common land unit. ESRI ArcUser Online. http://www.esri.
com/news/arcuser/0402/usda.html. Last accessed 22 Aug 2017.
Liknes, G. C., Nelson, M. D., & McRoberts, R. E. (2004). Evaluating classified MODIS satellite
imagery as a stratification tool. In Proceeding of the joint meeting of the 15th annual conference
of the international environmetrics society and the 6th international symp. on Spatial Accuracy
Assessment in Natural Resources and Environmental Sciences, Portland, Maine, 28 June–1 July
2004.
Liknes, G. C., Nelson, M. D., Gormanson, D. D., & Hansen, M. (2009). The utility of the CDL for
forest inventory and analysis. In R. E. McRoberts, et al. (Eds.). Proceeding of the eighth annual
forest inventory and analysis symposium; 2006 October 16–19; Monterey, CA. Gen. Tech.
Report WO-79. Washington, DC: U.S. Department of Agriculture, Forest Service. 259–264.
14 Geospatial Land Use and Land Cover Data for Improving Agricultural Area. . .
297