Pardhasaradhi Teluguntla
Orcid: 0000-0001-8060-9841Affiliations:
- US Geological Survey, Flagstaff, AZ, USA
According to our database1,
Pardhasaradhi Teluguntla
authored at least 9 papers
between 2015 and 2023.
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Bibliography
2023
Crop Water Productivity from Cloud-Based Landsat Helps Assess California's Water Savings.
Remote. Sens., October, 2023
2022
New Generation Hyperspectral Data From DESIS Compared to High Spatial Resolution PlanetScope Data for Crop Type Classification.
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.
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.
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.
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.
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.
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.
Int. J. Digit. Earth, 2016
2015
Mapping Flooded Rice Paddies Using Time Series of MODIS Imagery in the Krishna River Basin, India.
Remote. Sens., 2015