| Comparison of impervious surface area and normalized difference vegetation index as indicators of surface urban heat island effects in Landsat imagery F Yuan, ME Bauer Remote Sensing of environment 106 (3), 375-386, 2007 | 1836 | 2007 |
| Land cover classification and change analysis of the Twin Cities (Minnesota) Metropolitan Area by multitemporal Landsat remote sensing F Yuan, KE Sawaya, BC Loeffelholz, ME Bauer Remote sensing of Environment 98 (2-3), 317-328, 2005 | 1548 | 2005 |
| Improving estimation of summer maize nitrogen status with red edge-based spectral vegetation indices F Li, Y Miao, G Feng, F Yuan, S Yue, X Gao, Y Liu, B Liu, SL Ustin, ... Field Crops Research 157, 111-123, 2014 | 320 | 2014 |
| Hyperspectral canopy sensing of paddy rice aboveground biomass at different growth stages ML Gnyp, Y Miao, F Yuan, SL Ustin, K Yu, Y Yao, S Huang, G Bareth Field Crops Research 155, 42-55, 2014 | 260 | 2014 |
| Land‐cover change and environmental impact analysis in the Greater Mankato area of Minnesota using remote sensing and GIS modelling F Yuan International Journal of Remote Sensing 29 (4), 1169-1184, 2008 | 197 | 2008 |
| Impervious surface mapping and change monitoring using Landsat remote sensing ME Bauer, NJ Heinert, JK Doyle, F Yuan ASPRS annual conference proceedings 10, 2004 | 166 | 2004 |
| Combining Color Indices and Textures of UAV-Based Digital Imagery for Rice LAI Estimation S Li, F Yuan, ST Ata-UI-Karim, H Zheng, T Cheng, X Liu, Y Tian, Y Zhu, ... Remote Sensing 11 (15), 1763, 2019 | 162 | 2019 |
| Assessing landscape changes and dynamics using patch analysis and GIS modeling S Paudel, F Yuan International Journal of Applied Earth Observation and Geoinformation 16, 66-76, 2012 | 147 | 2012 |
| Multi‐level land cover mapping of the Twin Cities (Minnesota) metropolitan area with multi‐seasonal Landsat TM/ETM+ data F Yuan, ME Bauer, NJ Heinert, GR Holden Geocarto International 20 (2), 5-13, 2005 | 115 | 2005 |
| Satellite remote sensing-based in-season diagnosis of rice nitrogen status in Northeast China G Huang, S., Miao, Y., Zhao, G., Yuan, F., Ma, X., Tan, C., Yu, W., Gnyp, M ... remote sensing 7 (8), 10646-10667, 2015 | 109 | 2015 |
| Improving in-season estimation of rice yield potential and responsiveness to topdressing nitrogen application with Crop Circle active crop canopy sensor Q Cao, Y Miao, J Shen, W Yu, F Yuan, S Cheng, S Huang, H Wang, ... Precision agriculture 17 (2), 136-154, 2016 | 97 | 2016 |
| Mapping impervious surface area using high resolution imagery: A comparison of object-based and per pixel classification F Yuan, ME Bauer Proceedings of ASPRS 2006 annual conference, 1-5, 2006 | 92 | 2006 |
| Comparison of spectral analysis techniques for impervious surface estimation using Landsat imagery F Yuan, C Wu, ME Bauer Photogrammetric Engineering & Remote Sensing 74 (8), 1045-1055, 2008 | 82 | 2008 |
| Potential of RapidEye and WorldView-2 satellite data for improving rice nitrogen status monitoring at different growth stages S Huang, Y Miao, F Yuan, ML Gnyp, Y Yao, Q Cao, H Wang, ... Remote Sensing 9 (3), 227, 2017 | 75 | 2017 |
| Evaluating different approaches to non-destructive nitrogen status diagnosis of rice using portable RapidSCAN active canopy sensor J Lu, Y Miao, W Shi, J Li, F Yuan Scientific reports 7 (1), 14073, 2017 | 71 | 2017 |
| Seasonal sensitivity analysis of impervious surface estimation with satellite imagery C Wu, F Yuan Photogrammetric Engineering & Remote Sensing 73 (12), 1393-1401, 2007 | 55 | 2007 |
| Trends in extreme temperatures in relation to urbanization in the Twin Cities Metropolitan Area, Minnesota SS Roy, F Yuan Journal of Applied Meteorology and Climatology 48 (3), 669-679, 2009 | 51 | 2009 |
| Evaluating two crop circle active canopy sensors for in-season diagnosis of winter wheat nitrogen status Q Cao, Y Miao, J Shen, F Yuan, S Cheng, Z Cui Agronomy 8 (10), 201, 2018 | 43 | 2018 |
| Multi-temporal Landsat image classification and change analysis of land cover in the Twin Cities (Minnesota) metropolitan area ME Bauer, F Yuan, KE Sawaya Analysis of Multi-Temporal Remote Sensing Images, 368-375, 2004 | 43 | 2004 |
| Improving wheat yield prediction integrating proximal sensing and weather data with machine learning G Ruan, X Li, F Yuan, D Cammarano, ST Ata-UI-Karim, X Liu, Y Tian, ... Computers and Electronics in Agriculture 195, 106852, 2022 | 41 | 2022 |
