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Pardhasaradhi G. Teluguntla

Observed names: Pardharsadhi Teluguntla, Pardhasaradhi G Teluguntla, Pardhasaradhi Teluguntla, Teluguntla Pardhasaradhi, Teluguntla, Pardhasaradhi, Teluguntla, P., Teluguntla, Pardhasaradhi, Teluguntla, Pardhasaradhi G
Observed institutions: Ames Research Center, United States Geological Survey, The University of Melbourne, NASA Research Park, Bay Area Environmental Research Institute, Western Geographic Science Center
ORCID: 0000-0001-8060-9841
Observed ORCID: 0000-0001-8060-9841
OpenAlex ID: A5014096050
A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform
2018 · Pardhasaradhi Teluguntla, Prasad S Thenkabail, et al. · ISPRS Journal of Photogrammetry and Remote Sensing · 561
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Automated cropland mapping of continental Africa using Google Earth Engine cloud computing
2017 · Jun Xiong, Prasad S. Thenkabail, et al. · ISPRS Journal of Photogrammetry and Remote Sensing · 511
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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
2017 · Jun Xiong, Prasad Thenkabail, et al. · Remote Sensing · 425
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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
2019 · Adam J. Oliphant, Prasad S. Thenkabail, et al. · International Journal of Applied Earth Observation and Geoinformation · 223
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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
2019 · Murali Krishna Gumma, Prasad S. Thenkabail, et al. · GIScience & Remote Sensing · 166
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Mapping rice-fallow cropland areas for short-season grain legumes intensification in South Asia using MODIS 250 m time-series data
2016 · Murali Krishna Gumma, Prasad S. Thenkabail, et al. · International Journal of Digital Earth · 162
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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
2021 · Prasad S. Thenkabail, Pardhasaradhi G. Teluguntla, et al. · USGS professional paper · 101
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A meta-analysis of global crop water productivity of three leading world crops (wheat, corn, and rice) in the irrigated areas over three decades
2019 · Daniel J. Foley, Prasad S. Thenkabail, et al. · International Journal of Digital Earth · 99
Multiple agricultural cropland products of South Asia developed using Landsat-8 30 m and MODIS 250 m data using machine learning on the Google Earth Engine (GEE) cloud and spectral matching techniques (SMTs) in support of food and water security
2022 · Murali Krishna Gumma, Prasad S Thenkabail, et al. · GIScience & Remote Sensing · 67
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Spectral matching techniques (SMTs) and automated cropland classification algorithms (ACCAs) for mapping croplands of Australia using MODIS 250-m time-series (2000–2015) data
2017 · Pardhasaradhi Teluguntla, Prasad S. Thenkabail, et al. · International Journal of Digital Earth · 67
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Global Cropland Area Database (GCAD) derived from Remote Sensing in Support of Food Security in the Twenty-first Century: Current Achievements and Future Possibilities
2015 · Pardhasaradhi Teluguntla, Prasad S. Thenkabail, et al. · Open Access Repository of ICRISAT (International Crops Research Institute for the Semi-Arid Tropics) · 51
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Mapping cropland fallow areas in myanmar to scale up sustainable intensification of pulse crops in the farming system
2018 · Murali Krishna Gumma, Prasad S Thenkabail, et al. · GIScience & Remote Sensing · 47
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Mapping Flooded Rice Paddies Using Time Series of MODIS Imagery in the Krishna River Basin, India
2015 · Pardhasaradhi Teluguntla, Dongryeol Ryu, et al. · Remote Sensing · 41
Relating Trends in Streamflow to Anthropogenic Influences: A Case Study of Himayat Sagar Catchment, India
2014 · Rajesh Nune, Biju A. George, et al. · Water Resources Management · 33
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New Generation Hyperspectral Data From DESIS Compared to High Spatial Resolution PlanetScope Data for Crop Type Classification
2022 · Itiya Aneece, Daniel Foley, et al. · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 27
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NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Global Food Security-support Analysis Data (GFSAD) Cropland Extent 2015 Southeast Asia 30 m V001
2017 · Oliphant, Adam, Thenkabail, Prasad, et al. · Open Access Repository of ICRISAT (International Crops Research Institute for the Semi-Arid Tropics) · 26
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Indo-Ganges River Basin Land Use/Land Cover (LULC) and Irrigated Area Mapping
2019 · Murali Krishna Gumma, Prasad S. Thenkabail, et al. · Elsevier eBooks · 22
NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Global Food Security Support Analysis Data (GFSAD) Crop Dominance 2010 Global 1 km V001
2016 · Pardhasaradhi Teluguntla, Prasad S. Thenkabail, et al. · 20
Machine Learning Approaches and Sentinel-2 Data in Crop Type Mapping
2021 · Pranay Panjala, Murali Krishna Gumma, et al. · Studies in big data · 19
Machine Learning and New-Generation Spaceborne Hyperspectral Data Advance Crop Type Mapping
2024 · Itiya Aneece, Prasad S. Thenkabail, et al. · Photogrammetric Engineering & Remote Sensing · 18
NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Global Food Security-support Analysis Data (GFSAD) Cropland Extent 2015 Australia, New Zealand, China, Mongolia 30 m V001
2017 · Teluguntla, Pardhasaradhi, Thenkabail, Prasad, et al. · Open Access Repository of ICRISAT (International Crops Research Institute for the Semi-Arid Tropics) · 14
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Dryland cropping in different Land uses of Senegal using Sentinel-2 and hybrid ML method
2024 · Murali Krishna Gumma, Pranay Panjala, et al. · International Journal of Digital Earth · 11
Global food-security-support-analysis data at 30-m resolution (GFSAD30) cropland-extent products—Download Analysis
2022 · Adam Oliphant, Prasad Thenkabail, et al. · Antarctica A Keystone in a Changing World · 11
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Hyperspectral Narrowband Data Propel Gigantic Leap in the Earth Remote Sensing
2021 · Prasad S. Thenkabail, Itiya Aneece, et al. · Photogrammetric Engineering & Remote Sensing · 11
Monitoring Photosynthesis from Space
2015 · Pardhasaradhi Teluguntla, Prasad S. Thenkabail, et al. · CRC Press eBooks · 11
Works count: 74
Citation count: 2,970
H-index: 20
I10-index: 37
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