Teluguntla, P.[Pardhasaradhi]
Co Author Listing * 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform, A
* Automated cropland mapping of continental Africa using Google Earth Engine cloud computing
* Comparing DESIS Hyperspectral and Landsat 10 Simulated Superspectral Data for Crop Type Classification in California's Central Valley
* Crop Water Productivity from Cloud-Based Landsat Helps Assess California's Water Savings
* Mapping Flooded Rice Paddies Using Time Series of MODIS Imagery in the Krishna River Basin, India
* Nominal 30-m Cropland Extent Map of Continental Africa by Integrating Pixel-Based and Object-Based Algorithms Using Sentinel-2 and Landsat-8 Data on Google Earth Engine