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

• Published in: GIScience and remote sensing Vol. 57; no. 3; pp. 302 - 322
• Main Authors: Gumma, Murali Krishna, Thenkabail, Prasad S., Teluguntla, Pardhasaradhi G., Oliphant, Adam, Xiong, Jun, Giri, Chandra, Pyla, Vineetha, Dixit, Sreenath, Whitbread, Anthony M
• Format: Journal Article
• Language: English
• Published: Taylor & Francis 02.04.2020; Taylor & Francis Group
• Subjects: 30m-South Asia croplands; cloud computing; Google Earth Engine; Landsat; random forest

The South Asia (India, Pakistan, Bangladesh, Nepal, Sri Lanka and Bhutan) has a staggering 900 million people (~43% of the population) who face food insecurity or severe food insecurity as per United Nations, Food and Agriculture Organization's (FAO) the Food Insecurity Experience Scale (FIES)....