| Leveraging Google Earth Engine (GEE) and machine learning algorithms to incorporate in situ measurement from different times for rangelands monitoring B Zhou, GS Okin, J Zhang Remote Sensing of Environment 236, 111521, 2020 | 85 | 2020 |
| Assimilating optical satellite remote sensing images and field data to predict surface indicators in the Western U.S.: Assessing error in satellite predictions based on large … J Zhang, G Okin, B Zhou Remote Sensing of Environment 233, 2019 | 45 | 2019 |
| Detecting Invasive Sericea Lespedeza (Lespedeza cuneata) in Mid-Missouri Pastureland Using Hyperspectral Imagery C Wang, B Zhou, HL Palm Environmental Management 41, 853-862, 2008 | 44 | 2008 |
| Mapping and analyzing change of impervious surface for two decades using multi-temporal Landsat imagery in Missouri B Zhou, HS He, TA Nigh, JH Schulz International Journal of Applied Earth Observation and Geoinformation 18 …, 2012 | 42 | 2012 |
| Imperviousness Change Analysis Tool (I-CAT) for simulating pixel-level urban growth MG Sunde, HS He, B Zhou, JA Hubbart, A Spicci Landscape and urban planning 124, 104-108, 2014 | 33 | 2014 |
| Guiding principles for using satellite-derived maps in rangeland management BW Allred, MK Creutzburg, JC Carlson, CJ Cole, CM Dovichin, ... Rangelands 44 (1), 78-86, 2022 | 19 | 2022 |
| Drone-Based Remote Sensing for Research on Wind Erosion in Drylands: Possible Applications GSO J Zhang, W Guo, B Zhou Remote Sensing 13 (283), 2021 | 15 | 2021 |
| UAV‐derived imagery for vegetation structure estimation in rangelands: validation and application J Zhang, GS Okin, B Zhou, JW Karl Ecosphere 12 (11), e03830, 2021 | 9 | 2021 |
| Application of hyperspectral remote sensing in detecting and mapping sericea lespedeza in Missouri B Zhou University of Missouri--Columbia, 2007 | 4 | 2007 |
| Drone-Based Remote Sensing for Research onWind Erosion in Drylands: Possible Applications. Remote Sens. 2021, 13, 283 J Zhang, W Guo, B Zhou, GS Okin s Note: MDPI stays neu-tral with regard to jurisdictional clai-ms in …, 2021 | 2 | 2021 |
| Leveraging Google Earth Engine (GEE) to Model Large-Scale Land Cover Dynamics in Western US B Zhou, G Okin AGU Fall Meeting Abstracts 2018, B41N-2907, 2018 | 2 | 2018 |
| Association between wildfires and coccidioidomycosis incidence in California, 2000–2018: a synthetic control analysis S Phillips, I Jones, G Sondermyer-Cooksey, TY Alexander, AK Heaney, ... Environmental Epidemiology 7 (4), e254, 2023 | 1 | 2023 |
| Implementing Wind Erosion Model in the Western US for the Last Two Decades using Google Earth Engine B Zhou, GS Okin AGU23, 2023 | | 2023 |
| Ecological Distance Matters More than Geographical Distance When Predicting Land Surface Indicators Using Machine Learning B Zhou, GS Okin AGU23, 2023 | | 2023 |
| Wind erosion and dust emission modeling using Google Earth Engine based on long term monitoring sites calibration in the western United States B Zhou, A Bhattachan, A Weaver, GS Okin AGU Fall Meeting Abstracts 2022, A55O-1308, 2022 | | 2022 |
| Performance Evaluation of Convolutional Neural Networks and Random Forests for Large-scale Multi-temporal Rangelands Monitoring B Zhou, J Zhang, G Okin AGU Fall Meeting Abstracts 2021, B23E-09, 2021 | | 2021 |
| Calibration of a wind erosion and dust emission model using continental-scale geospatial soil and vegetation datasets A Bhattachan, N Keeney, B Zhou, G Okin AGU Fall Meeting Abstracts 2021, A35E-1671, 2021 | | 2021 |
| Investigated the Cause of Snow Albedo Reduction in the Himalayan Mountains by Using Remotely Sensed Products J Zhang, X Xie, B Zhou 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 4308 …, 2021 | | 2021 |
| A Spatial and Temporal Model Adjusting Approach for Large Scale Multi-temporal Rangelands Monitoring B Zhou, GS Okin, J Zhang AGU Fall Meeting Abstracts 2020, B109-0007, 2020 | | 2020 |
| Leveraging Google Earth Engine (GEE) and machine learning algorithms to incorporate in situ measurements for rangelands monitoring B Zhou, GS Okin AGU Fall Meeting Abstracts 2019, B11I-2297, 2019 | | 2019 |
