| An Inter-comparison of Soil Moisture Data Products from Satellite remote sensing and a land surface model L Fang, C Hain, X Zhan, M Anderson International Journal of Applied Earth Observation and Geoinformation 48, 2016 | 76 | 2016 |
| Improving Noah land surface model performance using near real time surface albedo and green vegetation fraction J Yin, X Zhan, Y Zheng, CR Hain, M Ek, J Wen, L Fang, J Liu Agricultural and Forest Meteorology 218, 171-183, 2016 | 62 | 2016 |
| Optimal ensemble size of ensemble Kalman filter in sequential soil moisture data assimilation J Yin, X Zhan, Y Zheng, CR Hain, J Liu, L Fang Geophysical Research Letters 42 (16), 6710-6715, 2015 | 55 | 2015 |
| Separating vegetation and soil temperature using airborne multiangular remote sensing image data Q Liu, C Yan, Q Xiao, G Yan, L Fang International Journal of Applied Earth Observation and Geoinformation 17, 66-75, 2012 | 43 | 2012 |
| Impact of quality control of satellite soil moisture data on their assimilation into land surface model J Yin, X Zhan, Y Zheng, J Liu, C Hain, L Fang Geophys. Res. Lett. 41, 7159–7166, 2014 | 42 | 2014 |
| Enhancing Model Skill by Assimilating SMOPS Blended Soil Moisture Product into Noah Land Surface Model J Yin, X Zhan, Y Zheng, J Liu, L Fang, C Hain J. Hydrometeor 16 (2), 917–931, 2015 | 39 | 2015 |
| Kernel driven Model fitting of multiangle thermal infrared brightness temperature and its application J Peng, Q Liu, Q Liu, J Li, H Ma, L Fang Journal of Infrared and Millimeter Waves 30 (4), 361-365, 2011 | 30 | 2011 |
| NOAA Soil Moisture Operational Product System (SMOPS) and its validations J Liu, X Zhan, C Hain, J Yin, L Fang, Z Li, L Zhao 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2016 | 26 | 2016 |
| Use of NDVI dataset for a GIS based analysis: A sample study of TAR Creek superfund site M Sonwalkar, L Fang, D Sun Ecological Informatics 5 (6), 484-491, 2010 | 26 | 2010 |
| S4: AN O2R/R2O INFRASTRUCTURE FOR OPTIMIZING SATELLITE DATA UTILIZATION IN NOAA NUMERICAL MODELING SYSTEMS A Step Toward Bridging the Gap between Research and Operations SIDA BOUKABARA, T ZHU, HL TOLMAN, S LORD, S GOODMAN, ... Bulletin of the American Meteorological Society, 2016 | 20 | 2016 |
| Toward an operational land surface temperature algorithm for GOES D Sun, Y Yu, L Fang, Y Liu Journal of Applied Meteorology and Climatology 52 (9), 1974-1986, 2013 | 18 | 2013 |
| An assessment of impacts of land-cover changes on root-zone soil moisture J Yin, Y Zheng, X Zhan, CR Hain, Q Zhai, C Duan, R Wu, J Liu, L Fang International Journal of Remote Sensing 36 (24), 6116-6134, 2015 | 16 | 2015 |
| A case study for intercomparison of land surface temperature retrieved from GOES and MODIS D Sun, Y Yu, H Yang, L Fang, Q Liu, J Shi International Journal of Digital Earth 8 (6), 2015 | 16 | 2015 |
| An Assessment of the Impact of Land Thermal Infrared Observation on Regional Weather Forecasts Using Two Different Data Assimilation Approaches L Fang, X Zhan, C Hain, J Yin, J Liu, M Schull Remote Sensing 10 (4), 625, 2018 | 15 | 2018 |
| A preliminary assessment of the impact of SMAP Soil Moisture on numerical weather Forecasts from GFS and NUWRF models X Zhan, W Zheng, L Fang, J Liu, C Hain, J Yin, M Ek 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2016 | 15 | 2016 |
| Design and Implementation of Airborne Wide-angle Infrared Dual-mode Line/area Array Scanner in Heihe Experiment L Fang, Q Liu, Q Xiao, Q Liu, Z Liu Advances in Earth Science, 24 (7), 696-705, 2009 | 14 | 2009 |
| Near‐real‐time one‐kilometre Soil Moisture Active Passive soil moisture data product J Yin, X Zhan, J Liu, H Moradkhani, L Fang, JP Walker Hydrological Processes 34 (21), 4083-4096, 2020 | 13 | 2020 |
| New Retrieval Algorithm for Deriving Land Surface Temperature From Geostationary Orbiting Satellite Observations L Fang, Y Yu, H Xu, D Sun IEEE Transactions on Geoscience and Remote Sensing 52 (2), 819,828, 2014 | 13 | 2014 |
| Remote Sensing of Evapotranspiration for Global Drought Monitoring X Zhan, L Fang, J Yin, M Schull, J Liu, C Hain, M Anderson, W Kustas, ... Global Drought and Flood: Observation, Modeling, and Prediction, 29-46, 2021 | 12 | 2021 |
| Evapotranspiration Data Product from NESDIS GET-D System Upgraded for GOES-16 ABI Observations L Fang, X Zhan, M Schull, S Kalluri, I Laszlo, P Yu, C Carter, C Hain, ... Remote Sensing 11 (22), 2639, 2019 | 12 | 2019 |
Xiwu ZhanNOAA NESDIS Center for Satellite Applications and ResearchEmail verificata su noaa.gov
