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Huixuan Li
Huixuan Li
在 email.sc.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
Estimating snow water equivalent with backscattering at X and Ku band based on absorption loss
Y Cui, C Xiong, J Lemmetyinen, J Shi, L Jiang, B Peng, H Li, T Zhao, D Ji, ...
Remote Sensing 8 (6), 505, 2016
432016
Spatiotemporal analysis of heavy metal water pollution in transitional China
H Li, Y Li, MK Lee, Z Liu, C Miao
Sustainability 7 (7), 9067-9087, 2015
412015
Mapping salt marsh along coastal South Carolina using U-Net
H Li, C Wang, Y Cui, M Hodgson
ISPRS Journal of Photogrammetry and Remote Sensing 179, 121-132, 2021
192021
Geospatial assessment of bioenergy land use and its impacts on soil erosion in the US Midwest
WM SooHoo, C Wang, H Li
Journal of environmental management 190, 188-196, 2017
182017
Spatial assessment of water quality with urbanization in 2007–2015, Shanghai, China
H Li, C Wang, X Huang, A Hug
Remote Sensing 10 (7), 1024, 2018
162018
Identifying marsh dieback events from Landsat image series (1998–2018) with an Autoencoder in the NIWB estuary, South Carolina
H Li, C Wang, JT Ellis, Y Cui, G Miller, JT Morris
International Journal of Digital Earth 13 (12), 1467-1483, 2020
102020
Spatial Assessment of Cancer Incidences and the Risks of Industrial Wastewater Emission in China
Y Li, H Li, Z Liu, C Miao
Sustainability 8 (5), 480, 2016
102016
Spatial downscaling of SMAP passive microwave radiometer soil moisture using vegetation index and surface temperature
V Lakshmi, H Li
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2016
42016
Spatial assessment of sewage discharge with urbanization in 2004–2014, Beijing, China
H Li, C Wang, Y Jiang, A Hug, Y Li
AIMS Environmental Science 3 (4), 842-857, 2016
32016
Spatiotemporal assessment of potential drivers of salt marsh dieback in the North Inlet-Winyah Bay estuary, South Carolina (1990–2019)
H Li, C Wang, Q Yu, E Smith
Journal of Environmental Management 313, 114907, 2022
22022
Spatial-Temporal analysis of heavy metal water pollution and the impact on public health in China
H Li
22015
The Utility of a Bayesian Predictive Model to Forecast Neuroinvasive West Nile Virus Disease in the United States, 2022
MSJ McCarter, SCW Self, K Dye-Braumuller, C Lee, H Li, MS Nolan
medRxiv, 2022.11. 02.22281839, 2022
2022
FIGHT THE BITE: APPLYING REMOTE SENSING TECHNOLOGIES TO DETECT MOSQUITO BREEDING HABITATS OF IMPORTANCE
SM Gunter, A Oluyomi, H Li, C Fredregill, J Helfand, M Nolan
AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE 105 (5), 179-179, 2021
2021
Satellite Observations and Spatiotemporal Assessment of Salt Marsh/Dieback Along Coastal South Carolina (1990-2019)
H Li
2021
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