Pardhasaradhi Teluguntla

According to our database, Pardhasaradhi Teluguntla authored at least 11 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Automated Cropland Fallow Algorithm (ACFA) for the Northern Great Plains of USA.

Adam J. Oliphant, Prasad S. Thenkabail, Pardhasaradhi Teluguntla, Itiya P. Aneece, Daniel J. Foley, Richard L. McCormick

Int. J. Digit. Earth, December, 2024

Dryland cropping in different Land uses of Senegal using Sentinel-2 and hybrid ML method.

Murali Krishna Gumma, Pranay Panjala, Pardhasaradhi Teluguntla

Int. J. Digit. Earth, December, 2024

2023

Crop Water Productivity from Cloud-Based Landsat Helps Assess California's Water Savings.

Daniel J. Foley, Prasad S. Thenkabail, Adam J. Oliphant, Itiya P. Aneece, Pardhasaradhi Teluguntla

Remote. Sens., October, 2023

2022

New Generation Hyperspectral Data From DESIS Compared to High Spatial Resolution PlanetScope Data for Crop Type Classification.

Itiya P. Aneece, Daniel J. Foley, Prasad S. Thenkabail, Adam J. Oliphant, Pardhasaradhi Teluguntla

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

New Generation and Old Generation Hyperspectral Remote Sensing Data and their Comparisons with Multispectral Data in the Study of Global Agriculture and Vegetation.

Prasad S. Thenkabail, Itiya P. Aneece, Pardhasaradhi Teluguntla, Adam J. Oliphant, Daniel J. Foley

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2020

A meta-analysis of global crop water productivity of three leading world crops (wheat, corn, and rice) in the irrigated areas over three decades.

Daniel J. Foley, Prasad S. Thenkabail, Itiya P. Aneece, Pardhasaradhi Teluguntla, Adam J. Oliphant

Int. J. Digit. Earth, 2020

2019

Mapping cropland extent of Southeast and Northeast Asia using multi-year time-series Landsat 30-m data using a random forest classifier on the Google Earth Engine Cloud.

Adam J. Oliphant, Prasad S. Thenkabail, Pardhasaradhi Teluguntla, Jun Xiong, Murali Krishna Gumma, Russell G. Congalton, Kamini Yadav

Int. J. Appl. Earth Obs. Geoinformation, 2019

2017

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.

Jun Xiong, Prasad S. Thenkabail, James C. Tilton, Murali K. Gumma, Pardhasaradhi Teluguntla, Adam J. Oliphant, Russell G. Congalton, Kamini Yadav, Noel Gorelick

Remote. Sens., 2017

Spectral matching techniques (SMTs) and automated cropland classification algorithms (ACCAs) for mapping croplands of Australia using MODIS 250-m time-series (2000-2015) data.

Pardhasaradhi Teluguntla, Prasad S. Thenkabail, Jun Xiong, Muralikrishna Gumma, Russell G. Congalton, Adam J. Oliphant, Justin Poehnelt, Kamini Yadav, Mahesh N. Rao, Richard Massey

Int. J. Digit. Earth, 2017

2016

Mapping rice-fallow cropland areas for short-season grain legumes intensification in South Asia using MODIS 250 m time-series data.

Murali K. Gumma, Prasad S. Thenkabail, Pardharsadhi Teluguntla, Mahesh N. Rao, Irshad A. Mohammed, Anthony M. Whitbread

Int. J. Digit. Earth, 2016

2015

Mapping Flooded Rice Paddies Using Time Series of MODIS Imagery in the Krishna River Basin, India.

Pardhasaradhi Teluguntla, Dongryeol Ryu, Biju George, Jeffrey P. Walker, Hector M. Malano

Remote. Sens., 2015