Wenli Huang (黄文丽)
Wenli Huang (黄文丽)
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Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Discretionary dissemination on Twitter
RM Crowley, W Huang, H Lu
Rotman School of Management Working Paper, 2022-148, 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
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, ...
County-scale biomass map comparison: a case study for Sonoma, California
W Huang, A Swatantran, L Duncanson, K Johnson, D Watkinson, K Dolan, ...
Carbon Management 8 (5-6), 417-434, 2017
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