?url_ver=Z39.88-2004&rft_id=doi%3A10.1080%2F15481603.2019.1690780&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.aufirst=M+K&rft.au=Gumma%2C+M+K&rft.aulast=Gumma&rft.atitle=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&rft.title=GIScience+%26+Remote+Sensing+(TSI)&rft.issn=1548-1603&rft.date=November+2019&rft.pages=1-21&rft.genre=article