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Changing Field Sizes of the Conterminous United States, a Decennial Landsat Assessment
Project Start Date
05/03/2011
Project End Date
05/02/2014
Science Theme Name
Detection and Monitoring of LCLUC
Predictive Land Use Modeling
Drivers of Change
Region
North America
Continental U.S.
Solicitation
LCLUC-09
Distribution of Project Team Members Institutions
marker Principal Investigator
marker Co-Investigator
marker Collaborator
marker Postdoc Researcher
marker Graduate Student Researcher
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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.

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Project Documents
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.
Yan, L. and Roy, D.P., 2014, Automated crop field extraction from multi-temporal Web Enabled Landsat Data, Remote Sensing of Environment, 144, 42-64.
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.
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
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.
Project Research Area

Project Documents

Year Type Title
2016 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.
2015 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 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.
2014 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