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Results for “"Pardhasaradhi Teluguntla"”

2 results

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

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Murali Krishna Gumma, Prasad S. Thenkabail, Pardhasaradhi Teluguntla, Adam Oliphant et al.

Journal: GIScience & Remote SensingYear: 2019Citations: 157

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

Physical SciencesEnvironmental ScienceEcologyOpen Access
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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

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Prasad S. Thenkabail, Pardhasaradhi Teluguntla, Jun Xiong, Adam Oliphant et al.

Journal: USGS professional paperYear: 2021Citations: 85

First posted November 19, 2021 For additional information, contact: Director, Western Geographic Science Center U.S. Geological Survey350 N. Akron Rd. Moffett Field, CA 94035 Global food and water security analysis and management require precise and accurate global cropland-extent maps. Existing map...

Physical SciencesEnvironmental ScienceGlobal and Planetary ChangeOpen Access
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