Global cropland-extent product at 30-m resolution (GCEP30) derived from Landsat satellite time-series data for the year 2015 using multiple machine-learning algorithms on Google Earth engine cloud / / by Prasad S. Thenkabail [and sixteen others]

• Autore: Thenkabail Prasad Srinivasa <1958->
• Pubblicazione: Reston, Virginia : , : U.S. Department of the Interior, U.S. Geological Survey, , 2021
• Descrizione fisica: 1 online resource (ix, 63 pages) : color illustrations, color maps
• Soggetto topico: Landsat satellites; Crops; Land use; Agricultural ecology
• Note generali: "Funding received from National Aeronautics and Space Administration's (NASA's) Making Earth System Data Records for Use in Research Environments (MEaSUREs) through NASA Research Opportunities in Space and Earth Science soliciation (June 1, 2013-May 31, 2018)"--Page iii.
• Nota di bibliografia: Includes bibliographical references (pages 52-63).
• Altri titoli varianti: Global cropland-extent product at 30-m resolution
• Titolo autorizzato: Global cropland-extent product at 30-m resolution (GCEP30) derived from Landsat satellite time-series data for the year 2015 using multiple machine-learning algorithms on Google Earth engine cloud
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910716921603321
• Lo trovi qui: Univ. Federico II