Creating spatially-explicit lawn maps without classifying remotely sensed imagery: The case of suburban Boston, Massachusetts, USA

TitleCreating spatially-explicit lawn maps without classifying remotely sensed imagery: The case of suburban Boston, Massachusetts, USA
Publication TypeJournal Article
Year of Publication2014
AuthorsGiner N.M., Polsky C., Pontius, Jr. R.G., Runfola D.M., S.J. R
JournalCities and the Environment
Volume7
Accession NumberPIE376
KeywordsBoston; disturbance; land-change science; lawns; LTER-PIE; Monte Carlo simulation; quantity and allocation disagreement; suburbanization
LTER site

NSF-LTER-PIE

Citation KeyPIE376