Page 192 - Special Topic Session (STS) - Volume 1

STS 423 Avery S. et al.
geoinformatics, August 11-14 2014, Beijing, China.
https://ieeexplore.ieee.org/document/6910657.
8. Cal Fire, (2019). http://www.fire.ca.gov/general/firemaps. Ca.gov.
9. Copernicus, (2018). Copernicus Services Data Hub.
https://cophub.copernicus.eu/. European Space Agency.
10. Cotter, J. Davies, C., Nealon, J., and Roberts, R. (2010). Area Frame Design
for Agricultural Surveys in Agricultural Survey Methods (eds R. Benedetti,
M. Bee, G. Espa and F. Piersimoni), John Wiley & Sons, TD, Chichester,
UK.
https://onlinelibrary.wiley.com/doi/abs/10.1002/9780470665480.ch11.
11. Han, W., Yang, Z., Di, L., and Mueller, R. (2012). CropScape: A Web
service based application for exploring and disseminating US
conterminous geospatial cropland data products for decision support.
Computers and Electronics in Agriculture, 84, 111–123.
https://doi.org/10.1016/j.compag.2012.03.005.
12. Johnson, D.M. (2012). A 2010 map estimate of annually tilled cropland
within the conterminous United States, Agricultural Systems, 114, 95-
105. https://doi.org/10.1016/j.agsy.2012.08.004.
13. Johnson, D.M. (2014). An assessment of pre- and within-season remotely
sensed variables for forecasting corn and soybean yields in the United
States. Remote Sensing of Environment, 99, 341–356.
https://doi.org/10.1016/j.rse.2013.10.027.
14. Johnson, D.M. (2016). A comprehensive assessment of the correlations
between field crop yields and commonly used MODIS products,
International Journal of Applied Earth Observation and Geoinformation,
52, 65–81. https://doi.org/10.1016/j.jag.2016.05.010.
15. Lark, T.J., Mueller, R.M., Johnson, D.M., and Gibbs, H.K. (2017). Measuring
land-use and land-cover change using the U.S. Department of
Agriculture’s Cropland Data Layer: Cautions and recommendations,
International Journal of Applied Earth Observation and Geoformation,
62, 224-235. https://doi.org/10.1016/j.jag.2017.06.007
16. Mueller, R and Harris, J. (2013). Reported Uses of CropScape and the
National Cropland Data Layer Program. ICAS VI, Rio de Janeiro, Brazil.
https://repository.uantwerpen.be/docman/irua/78a9f0/130375.pdf.
17. USDA/Forest Service Remote Sensing Applications Center, (2019).
https://fsapps.nwcg.gov/afm/gisdata.php. USDA-Forest Service, Salt Lake
City, UT.
18. USDA NASS Disaster Analysis, (2018).
https://www.nass.usda.gov/Research_and_Science/Disaster-
Analysis/index.php. USDA-NASS, Washington, DC.

181 | I S I W S C 2 0 1 9