| Rapid and robust monitoring of flood events using Sentinel-1 and Landsat data on the Google Earth Engine B DeVries, C Huang, J Armston, W Huang, JW Jones, MW Lang Remote Sensing of Environment 240, 111664, 2020 | 326 | 2020 |
| Automated Extraction of Surface Water Extent from Sentinel-1 Data W Huang, B DeVries, C Huang, MW Lang, JW Jones, IF Creed, ML Carroll Remote Sensing 10 (5), 797, 2018 | 201 | 2018 |
| Automated quantification of surface water inundation in wetlands using optical satellite imagery B DeVries, C Huang, MW Lang, JW Jones, W Huang, IF Creed, ML Carroll Remote Sensing 9 (8), 807, 2017 | 109 | 2017 |
| Mapping biomass change after forest disturbance: applying LiDAR footprint-derived models at key map scales W Huang, G Sun, R Dubayah, BD Cook, PM Montesano, W Ni, Z Zhang Remote Sensing of Environment 134, 319-332, 2013 | 91 | 2013 |
| An evaluation of Landsat, Sentinel-2, Sentinel-1 and MODIS data for crop type mapping XP Song, W Huang, MC Hansen, P Potapov Science of Remote Sensing 3, 100018, 2021 | 79 | 2021 |
| Detection and prediction of land use change in Beijing based on remote sensing and GIS W Huang, H Liu, Q Luan, Q Jiang, J Liu, H Liu Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci 37, 75-82, 2008 | 76 | 2008 |
| Estimating forest stock volume in Hunan Province, China, by integrating in situ plot data, Sentinel-2 images, and linear and machine learning regression models Y Hu, X Xu, F Wu, Z Sun, H Xia, Q Meng, W Huang, H Zhou, J Gao, W Li, ... Remote Sensing 12 (1), 186, 2020 | 67 | 2020 |
| High-resolution mapping of aboveground biomass for forest carbon monitoring system in the Tri-State region of Maryland, Pennsylvania and Delaware, USA W Huang, K Dolan, A Swatantran, K Johnson, H Tang, J O’Neil-Dunne, ... Environmental Research Letters 14 (9), 095002, 2019 | 55 | 2019 |
| Sensitivity of multi-source SAR backscatter to changes in forest aboveground biomass W Huang, G Sun, W Ni, Z Zhang, R Dubayah Remote Sensing 7 (8), 9587-9609, 2015 | 55 | 2015 |
| Beyond MRV: high-resolution forest carbon modeling for climate mitigation planning over Maryland, USA G Hurtt, M Zhao, R Sahajpal, A Armstrong, R Birdsey, E Campbell, ... Environmental Research Letters 14 (4), 045013, 2019 | 47 | 2019 |
| Implications of allometric model selection for county-level biomass mapping L Duncanson, W Huang, K Johnson, A Swatantran, RE McRoberts, ... Carbon Balance and Management 12, 1-11, 2017 | 40 | 2017 |
| Local discrepancies in continental scale biomass maps: a case study over forested and non-forested landscapes in Maryland, USA W Huang, A Swatantran, K Johnson, L Duncanson, H Tang, ... Carbon balance and management 10, 1-16, 2015 | 39 | 2015 |
| Retrieval of Forest Biomass From ALOS PALSAR Data Using a Lookup Table Method W Ni, G Sun, Z Guo, Z Zhang, Y He, W Huang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2012 | 34 | 2012 |
| High-resolution forest carbon modelling for climate mitigation planning over the RGGI region, USA L Ma, G Hurtt, H Tang, R Lamb, E Campbell, R Dubayah, M Guy, ... Environmental Research Letters 16 (4), 045014, 2021 | 24 | 2021 |
| Estimating aboveground live understory vegetation carbon in the United States KD Johnson, GM Domke, MB Russell, B Walters, J Hom, A Peduzzi, ... Environmental Research Letters 12 (12), 125010, 2017 | 22 | 2017 |
| Biomass retrieval from L-band polarimetric UAVSAR backscatter and PRISM stereo imagery Z Zhang, W Ni, G Sun, W Huang, KJ Ranson, BD Cook, Z Guo Remote Sensing of Environment 194, 331-346, 2017 | 20 | 2017 |
| Discretionary dissemination on Twitter RM Crowley, W Huang, H Lu Rotman School of Management Working Paper, 2022-148, 2023 | 19 | 2023 |
| Forest height mapping using inventory and multi-source satellite data over Hunan Province in southern China W Huang, W Min, J Ding, Y Liu, Y Hu, W Ni, H Shen Forest Ecosystems 9, 100006, 2022 | 18 | 2022 |
| An adaptive thresholding approach toward rapid flood coverage extraction from Sentinel-1 SAR imagery S Chen, W Huang, Y Chen, M Feng Remote Sensing 13 (23), 4899, 2021 | 18 | 2021 |
| CMS: LiDAR-derived Biomass, Canopy Height and Cover, Sonoma County, California, 2013. ORNL DAAC, Oak Ridge, Tennessee, USA RO Dubayah, A Swatantran, W Huang, L Duncanson, H Tang, K Johnson, ... | 18 | 2017 |
Ralph DubayahUniversity of Maryland, Geographical Sciences在 umd.edu 的电子邮件经过验证
