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Author Thenkabail, Prasad Srinivasa, 1958- author.

Title 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].

Publication Info. Reston, Virginia : U.S. Department of the Interior, U.S. Geological Survey, 2021.

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Description 1 online resource (ix, 63 pages) : color illustrations, color maps.
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Series Professional paper, 2330-7102 ; 1868
U.S. Geological Survey professional paper ; 1868.
Note "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.
Bibliography Includes bibliographical references (pages 52-63).
Funding NASA MEaSURE NNH13AV821
U.S. Geological Survey sales order number 29039
Note Description based on online resource; title from PDF title page (USGS, viewed January 18, 2022).
Contents Executive summary -- Introduction. Current needs -- Existing global cropland-extent products -- Technical advances in global cropland-extent product -- Definitions of cropland-extent mapping -- Data. Agroecological zones -- Landsat 30-m resolution time-series data-establishing analysis-ready data (ARD cubes -- Reference-training and validation data -- Methods. Knowledge-based generation -- Machine-learning algorithms -- Accuracies, errors, and uncertainties -- Area comparisons -- Results and discussions. Global cropland-extent map at 30-m resolution (GCEP30) derived from Landsat -- Accuracies, errors, and uncertainties of global cropland-extent map at 30-m resolutions (GCEP30) derived from Landsat -- Cropland areas of the world derived from GCEP30 -- Comparison of GCEP30-derived cropland areas by continent with cropland areas from other statistical sources -- Significant findings -- Conclusions -- References cited.
Subject Google Earth.
Google Earth
Landsat satellites.
Crops.
Land use.
Agricultural ecology.
LANDSAT (Satellites de télédétection)
Cultures.
Utilisation du sol.
Écologie agricole.
Agricultural ecology
Crops
Land use
Landsat satellites
Added Author Geological Survey (U.S.), issuing body.
Other Form: Print version: Thenkabail, Prasad Srinivasa, 1958- 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 (OCoLC)1310996425
Gpo Item No. 0624 (online)
Sudoc No. I 19.16:1868

 
    
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