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Partial view of the CROPCLASS-2.0-unidentified parcel classification output implementing diverse prediction model types.

By Luis García-Torres (5662132), Juan J. Caballero-Novella (531773), David Gómez-Candón (531774) and José Manuel Peña (469557)

Abstract

<p>Partial view of the CROPCLASS-2.0-unidentified parcel classification output implementing diverse prediction model types.</p

Topics: Biological Sciences, Science Policy, satellite images, user accuracy, 12 crops, Southern Spain, DT training models, oa, sql, CROPCLASS methodology, October 2010, others land, parcels land, census parcels, DT model accuracy, vegetation index, 3 months interval, Structured Query Language, 3 weeks, MD decision trees, Multitemporal Remote Imagery, sb, vector files, matrix data, census Parcels Cropping System Classification, LaVentilla area, vi, Universal Methodology, model definition, 311 parcels
Year: 2015
DOI identifier: 10.1371/journal.pone.0117551.t001
OAI identifier: oai:figshare.com:article/1310664
Provided by: FigShare
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