| Mapping croplands of Europe, Middle East, Russia, and Central Asia using Landsat, Random Forest, and Google Earth Engine AR Phalke, M Özdoğan, PS Thenkabail, T Erickson, N Gorelick, K Yadav, ... ISPRS Journal of Photogrammetry and Remote Sensing 167, 104-122, 2020 | 142 | 2020 |
| Global Cropland Area Database (GCAD) derived from remote sensing in support of food security in the twenty-first century: current achievements and future possibilities P Teluguntla, PS Thenkabail, J Xiong, MK Gumma, C Giri, C Milesi, ... Taylor & Francis 2, 01-45, 2015 | 83 | 2015 |
| Large area cropland extent mapping with Landsat data and a generalized classifier AR Phalke, M Ozdogan Remote Sensing of Environment 219, 180-195, 2018 | 75 | 2018 |
| 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 … P Teluguntla, PS Thenkabail, J Xiong, MK Gumma, RG Congalton, ... NASA EOSDIS Land Processes DAAC, 2017 | 35 | 2017 |
| 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 | 33 | 2021 |
| NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Global Food Security-support Analysis Data (GFSAD)@ 30-m for Europe A Phalke, M Ozdogan, PS Thenkabail, RG Congalton, K Yadav, R Massey, ... Middle-East, Russia and Central Asia: Cropland Extent Product …, 2017 | 19 | 2017 |
| Temporal climate trend of Ping Basin of Thailand and implications for Mekong Region AG Reda, NK Tripathi, P Soni, T Tipdecho, A Phalke Journal of Earth Science and Climatic Change 4 (4), 1-8, 2013 | 15 | 2013 |
| Rapid rice yield estimation using integrated remote sensing and meteorological data and machine learning MD Islam, L Di, FM Qamer, S Shrestha, L Guo, L Lin, TJ Mayer, AR Phalke Remote Sensing 15 (9), 2374, 2023 | 13 | 2023 |
| 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, ... US Geological Survey, Reston, VA, https://doi. org/10.3133/pp1868, 2021 | 5 | 2021 |
| Mapping croplands of Europe, Middle East, Russia, and Central Asia using Landsat 30-m data, machine learning algorithms and Google Earth Engine A Phalke, M Ozdogan, P Thenkabail, T Erickson, N Gorelick ISPRS Journal of Photogrammetry and Remote Sensing 167, 104-122, 2020 | 5 | 2020 |
| Machine learning for global food security: a concise overview N Jahan, T Akilan, AR Phalke 2022 IEEE International Humanitarian Technology Conference (IHTC), 63-68, 2022 | 4 | 2022 |
| Employing the agricultural classification and estimation service (ACES) for mapping smallholder rice farms in Bhutan T Mayer, B Bhandari, FG Martínez, K Walker, SA Jiménez, M Kruskopf, ... Frontiers in Environmental Science 11, 1137835, 2023 | 2 | 2023 |
| Mapping cropland extent and areas of Australia at 30-m resolution using multi-year time-series Landsat data and Random Forest machine learning algorithm through Google Earth … P Teluguntla, PS Thenkabail, J Xiong, A Oliphant, MK Gumma, ... | 1 | 2017 |
| Serving economic prosperity: economic impact assessments (EIA) on Earth observation-based services and tools by SERVIR R Basu, E Anderson, C Deval, K Herndon, A Markert, L Pransky, ... arXiv preprint arXiv:2405.15672, 2024 | | 2024 |
| Using GEDI and Multispectral Earth Observation Data to Map Crop Type with Transfer Learning: Case Study in Bangladesh S Jiménez, T Mayer, A Phalke AGU Fall Meeting Abstracts 2023 (19), B11J-19, 2023 | | 2023 |
| Operational in-season rice area estimation through Earth observation data in Nepal. FM Qamer, S Shrestha, K Shakya, B Bajracharya, SN Shah, RK Regmi, ... | | 2023 |
| Acknowledgment to the Reviewers of Remote Sensing in 2022 Remote Sensing Editorial Office Remote Sensing 15 (3), 709, 2023 | | 2023 |
| Bhutan Agriculture III: Monitoring Cropland Changes in Bhutan using Remote Sensing to Bolster Food Security and Support Crop Monitoring Aparna R Phalke, Timothy Mayer, Marcus Hallett, Kenton Ross, Sean McCartney ... https://ntrs.nasa.gov/citations/20230013737, 2023 | | 2023 |
| Lower Mekong Hydrological Decision Support system G Tondapu, IN Mohammed, JD Bolten, J Nelson, AS Limaye, B Bhandari, ... American Geophysical Union Fall Meeting 2022, 2022 | | 2022 |
| Crop Type Mapping Case Study in the Lower Mekong Basin based on Transfer Learning Techniques using GEDI and Multispectral Earth Observation Data S Jimenez, T Mayer, A Phalke AGU Fall Meeting Abstracts 2022, GC32F-0671, 2022 | | 2022 |
Kamini YadavNew Mexico State UniversityVerified email at nmsu.edu
