Changing Field Sizes of the Conterminous United States, a Decennial Landsat Assessment

Start Date:

05/03/2011

End Date:

05/02/2014

Science Theme:

Detection and Monitoring of LCLUC

Predictive Land Use Modeling

Region:

Solicitation:

Team members:

Person Name	Person role on project	Affiliation
David Roy	Principal Investigator	Michigan State University, East Lansing, United States
Tom Loveland	Co-Investigator	U.S. Geological Survey, Sioux Falls, United States

Abstract:

This research will first develop and validate an automated computational methodology to extract cropland and grassland field boundaries and derive field sizes from the WELD processed Landsat data, second generate CONUS field size data sets for three decadal periods: 1987, 1997 and 2007, third characterize the spatio-temporal distribution of field sizes for the CONUS, and fourth address explanatory hypotheses concerned with CONUS field size evolution.

Project Products:

Conterminous United States (CONUS) field extraction

Project Research Area:

Project Documents

Year	Authors	Type	Title
2016	Lin Yan David Roy	Publications	Yan, L., and D. P. Roy. "Conterminous United States crop field size quantification from multi-temporal Landsat data." Remote Sensing of Environment 172 (2016): 67-86.
2014	David Roy	Publications	Yan, L., & Roy, D.P., Automated crop field extraction from multi-temporalWeb Enabled Landsat Data, Remote Sensing of Environment (2014), http://dx.doi.org/10.1016/j.rse.2014.01.006
2015	Lin Yan , David Roy	Publications	Yan, L. and Roy, D.P., 2015, Improved time series land cover classification by missing-observation-adaptive nonlinear dimensionality reduction, Remote Sensing of Environment, 158, 478-491.
2015	Emma White , David Roy	Publications	White, E. and Roy, D.P., 2015, A contemporary decennial examination of changing agricultural field sizes using Landsat time series data, Geo: Geography and Environment, 2: 33–54.