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scholarly article by Murali Krishna Gumma et al published 22 November 2019 in GIScience & remote sensing

AttributesValues
rdf:type
description
  • wetenschappelijk artikel (nl)
  • article scientifique publié en 2019 (fr)
  • im November 2019 veröffentlichter wissenschaftlicher Artikel (de)
  • наукова стаття, опублікована в листопаді 2019 (uk)
  • scholarly article by Murali Krishna Gumma et al published 22 November 2019 in GIScience & remote sensing (en)
publication date
publication date
author name string
author name string
  • Jun Xiong
  • Adam Oliphant
  • Chandra Giri
  • Pardhasaradhi G. Teluguntla
  • Sreenath Dixit
  • Vineetha Pyla
rdfs:label
  • Agricultural cropland extent and areas of South Asia derived using Landsat satellite 30-m time-series big-data using random forest machine learning algorithms on the Google Earth Engine cloud (en)
  • Agricultural cropland extent and areas of South Asia derived using Landsat satellite 30-m time-series big-data using random forest machine learning algorithms on the Google Earth Engine cloud (nl)
skos:prefLabel
  • Agricultural cropland extent and areas of South Asia derived using Landsat satellite 30-m time-series big-data using random forest machine learning algorithms on the Google Earth Engine cloud (en)
  • Agricultural cropland extent and areas of South Asia derived using Landsat satellite 30-m time-series big-data using random forest machine learning algorithms on the Google Earth Engine cloud (nl)
name
  • Agricultural cropland extent and areas of South Asia derived using Landsat satellite 30-m time-series big-data using random forest machine learning algorithms on the Google Earth Engine cloud (en)
  • Agricultural cropland extent and areas of South Asia derived using Landsat satellite 30-m time-series big-data using random forest machine learning algorithms on the Google Earth Engine cloud (nl)
author
author
title
title
  • Agricultural cropland extent and areas of South Asia derived using Landsat satellite 30-m time-series big-data using random forest machine learning algorithms on the Google Earth Engine cloud (en)
page(s)
page(s)
  • 302-322
instance of
instance of
main subject
main subject
published in
published in
issue
volume
issue
  • 3
volume
  • 57
DOI
DOI
DOI
  • 10.1080/15481603.2019.1690780
copyright license
copyright status
copyright license
copyright status
ORKG ID
ORKG ID
  • R189507
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