| 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 P Teluguntla, PS Thenkabail, A Oliphant, J Xiong, MK Gumma, ... ISPRS journal of photogrammetry and remote sensing 144, 325-340, 2018 | 492 | 2018 |
| 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 J Xiong, PS Thenkabail, JC Tilton, MK Gumma, P Teluguntla, A Oliphant, ... Remote Sensing 9 (10), 1065, 2017 | 431 | 2017 |
| 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 AJ Oliphant, PS Thenkabail, P Teluguntla, J Xiong, MK Gumma, ... International Journal of Applied Earth Observation and Geoinformation 81 …, 2019 | 213 | 2019 |
| Extraction of lignocellulose and synthesis of porous silica nanoparticles from rice husks: a comprehensive utilization of rice husk biomass H Chen, W Wang, JC Martin, AJ Oliphant, PA Doerr, JF Xu, KM DeBorn, ... ACS Sustainable Chemistry & Engineering 1 (2), 254-259, 2013 | 205 | 2013 |
| 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 … MK Gumma, PS Thenkabail, PG Teluguntla, A Oliphant, J Xiong, C Giri, ... GIScience & Remote Sensing 57 (3), 302-322, 2020 | 158 | 2020 |
| NASA Making Earth System Data Records for Use in Research Environments (MEASURES) Global Food Security-Support Analysis Data (GFSAD) Cropland Extent 2015 South Asia … MK Gumma, PS Thenkabail, P Teluguntla, A Oliphant, J Xiong, ... NASA EOSDIS Land Processes DAAC, 2017 | 88 | 2017 |
| A meta-analysis of global crop water productivity of three leading world crops (wheat, corn, and rice) in the irrigated areas over three decades DJ Foley, PS Thenkabail, IP Aneece, PG Teluguntla, AJ Oliphant International Journal of Digital Earth 13 (8), 939-975, 2020 | 81 | 2020 |
| Spectral matching techniques (SMTs) and automated cropland classification algorithms (ACCAs) for mapping croplands of Australia using MODIS 250-m time-series (2000–2015) data P Teluguntla, PS Thenkabail, J Xiong, MK Gumma, RG Congalton, ... International Journal of Digital Earth 10 (9), 944-977, 2017 | 80 | 2017 |
| Reconstructing disturbance history for an intensively mined region by time-series analysis of Landsat imagery J Li, CE Zipper, PF Donovan, RH Wynne, AJ Oliphant Environmental monitoring and assessment 187, 1-17, 2015 | 70 | 2015 |
| Mapping cropland fallow areas in myanmar to scale up sustainable intensification of pulse crops in the farming system MK Gumma, PS Thenkabail, KC Deevi, IA Mohammed, P Teluguntla, ... GIScience & Remote Sensing 55 (6), 926-949, 2018 | 53 | 2018 |
| 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 … PS Thenkabail, PG Teluguntla, J Xiong, A Oliphant, RG Congalton, ... Professional Paper, 2021 | 46 | 2021 |
| Autumn olive (Elaeagnus umbellata) presence and proliferation on former surface coal mines in Eastern USA AJ Oliphant, RH Wynne, CE Zipper, WM Ford, PF Donovan, J Li Biological Invasions 19, 179-195, 2017 | 39 | 2017 |
| Character analysis of mining disturbance and reclamation trajectory in surface coal-mine area by time-series NDVI J Li, C Zipper, S Li, P Donovan, R Wynne, A Oliphant, Q Xia Transactions of the Chinese Society of Agricultural Engineering 31 (16), 251-257, 2015 | 26 | 2015 |
| Nongye gongcheng xuebao F Li, CE Zipper, S Li, PF Donovan, R Wynne, A Oliphant, Q Xia Transactions of the Chinese Society of Agricultural Engineering 31, 251-257, 2015 | 23 | 2015 |
| New generation hyperspectral data from DESIS compared to high spatial resolution PlanetScope data for crop type classification I Aneece, D Foley, P Thenkabail, A Oliphant, P Teluguntla IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 21 | 2022 |
| Synthesis and colour prediction of stable pigments from rice husk biomass Z Wang, H Chen, L Xu, SQ Xu, CF Gao, AJ Oliphant, J Liu, Y Lu, W Wang, ... Green Materials 3 (1), 10-14, 2015 | 17 | 2015 |
| Hyperspectral narrowband data propel gigantic leap in the earth remote sensing PS Thenkabail, I Aneece, P Teluguntla, A Oliphant Photogrammetric Engineering & Remote Sensing 87 (7), 461-467, 2021 | 11 | 2021 |
| NASA MEaSUREs Global Food Security Support Analysis Data (GFSAD) Crop Mask 2010 Global 1 km V001 P Thenkabail, P Teluguntla, J Xiong, A Oliphant, R Massey NASA EOSDIS Land Processes DAAC, 2016 | 9 | 2016 |
| Crop Water Productivity from Cloud-Based Landsat Helps Assess California’s Water Savings D Foley, P Thenkabail, A Oliphant, I Aneece, P Teluguntla Remote Sensing 15 (19), 4894, 2023 | 5 | 2023 |
| Identifying woody vegetation on coal surface mines using phenological indicators with multitemporal Landsat imagery AJ Oliphant, J Li, RH Wynne, PF Donovan, CE Zipper The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2014 | 5 | 2014 |
Prasad ThenkabailSenior Scientist (ST) the United States Geological Survey (USGS)Verified email at usgs.gov
