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Mengquan Wu
Observed names:
Meng-Quan Wu,
Meng-quan Wu,
W. Mengquan,
Wu, Mengquan,
吴孟泉
Institution:
Ludong University
Observed institutions:
Northern Illinois University,
East China Jiaotong University,
Ludong University,
Chinese Academy of Sciences
ORCID:
0000-0003-1822-5980
Observed ORCID:
0000-0003-1822-5980
OpenAlex ID:
A5004446933
Remote sensing of early-stage green tide in the Yellow Sea for floating-macroalgae collecting campaign
2018
·
Qianguo Xing
, Lingling Wu
, et al.
·
Marine Pollution Bulletin
·
84
Estimating the fractional cover of photosynthetic vegetation, non-photosynthetic vegetation and bare soil from MODIS data: Assessing the applicability of the NDVI-DFI model in the typical Xilingol grasslands
2018
·
Guangzhen Wang
, Jingpu Wang
, et al.
·
International Journal of Applied Earth Observation and Geoinformation
·
79
Mapping Ulva prolifera green tides from space: A revisit on algorithm design and data products
2023
·
Chuanmin Hu
, Lin Qi
, et al.
·
International Journal of Applied Earth Observation and Geoinformation
·
70
PDF
What causes the great green tide disaster in the South Yellow Sea of China in 2021?
2022
·
Longxiao Zheng
, Mengquan Wu
, et al.
·
Ecological Indicators
·
59
Spatio-temporal patterns of Ulva prolifera blooms and the corresponding influence on chlorophyll-a concentration in the Southern Yellow Sea, China
2018
·
Xiao Sun
, Mengquan Wu
, et al.
·
The Science of The Total Environment
·
58
PDF
An advanced multi-source data fusion method utilizing deep learning techniques for fire detection
2024
·
Shikuan Wang
, Mengquan Wu
, et al.
·
Engineering Applications of Artificial Intelligence
·
46
Adaptive Threshold Model in Google Earth Engine: A Case Study of Ulva prolifera Extraction in the South Yellow Sea, China
2021
·
Guangzong Zhang
, Mengquan Wu
, et al.
·
Remote Sensing
·
45
PDF
Detection of Pine Wilt Disease Using Drone Remote Sensing Imagery and Improved YOLOv8 Algorithm: A Case Study in Weihai, China
2023
·
Shikuan Wang
, Xingwen Cao
, et al.
·
Forests
·
38
PDF
Influence of Sea Surface Temperature on Outbreak of Ulva prolifera in the Southern Yellow Sea, China
2020
·
Guangzong Zhang
, Mengquan Wu
, et al.
·
Chinese Geographical Science
·
35
Sustained Biomass Carbon Sequestration by China’s Forests from 2010 to 2050
2018
·
Chunhua Zhang
, Weimin Ju
, et al.
·
Forests
·
33
PDF
Remote Sensing of Ulva Prolifera Green Tide in the Yellow Sea Using Multisource Satellite Data: Progress and prospects
2024
·
Xinliang Pan
, Mengmeng Cao
, et al.
·
IEEE Geoscience and Remote Sensing Magazine
·
31
Spatiotemporal distribution and influencing factors of Ulva prolifera and Sargassum and their coexistence in the South Yellow Sea, China
2021
·
Longxiao Zheng
, Mengquan Wu
, et al.
·
Journal of Oceanology and Limnology
·
24
Offshore wind energy potential in Shandong Sea of China revealed by ERA5 reanalysis data and remote sensing
2024
·
Longxing Liu
, Mengquan Wu
, et al.
·
Journal of Cleaner Production
·
23
Multi-Factors Synthetically Contribute to Ulva prolifera Outbreaks in the South Yellow Sea of China
2023
·
Mingyue Xue
, Mengquan Wu
, et al.
·
Remote Sensing
·
22
PDF
Deep learning-based monitoring of offshore wind turbines in Shandong Sea of China and their location analysis
2023
·
Longxing Liu
, Mengquan Wu
, et al.
·
Journal of Cleaner Production
·
20
Remote-sensing monitoring and analysis of China intertidal zone changes based on tidal correction
2018
·
Zhenguo Niu
, Jingwen Wang
, et al.
·
Chinese Science Bulletin (Chinese Version)
·
20
PDF
The seasonal dissipation of Ulva prolifera and its effects on environmental factors: based on remote sensing images and field monitoring data
2020
·
Guangzong Zhang
, Mengquan Wu
, et al.
·
Geocarto International
·
19
[Research on the characteristics of Ulva prolifera in Shandong Peninsula during 2008-2012 based on MODIS data].
2014
·
Meng-Quan Wu
, Hao Guo
, et al.
·
PubMed
·
15
Analysis of Coastal Zone Data of Northern Yantai Collected by Remote Sensing from 1990 to 2018
2019
·
Min Zhou
, Mengquan Wu
, et al.
·
Applied Sciences
·
13
PDF
Estimating fractional cover of non-photosynthetic vegetation in a typical grassland area of northern China based on Moderate Resolution Imaging Spectroradiometer (MODIS) image data
2019
·
Guoqi Chai
, Jingpu Wang
, et al.
·
International Journal of Remote Sensing
·
13
Satellite observations and deep learning unveil the rapid expansion of offshore wind turbines in China
2025
·
Longxing Liu
, Mengquan Wu
, et al.
·
Resources Conservation and Recycling
·
11
Ecological Impact Patterns and Temporal Cycles of Green Tide Biomass in the Settlement Region: Based on Time-Series Remote Sensing and In Situ Data
2023
·
Guangzong Zhang
, Lifeng Niu
, et al.
·
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
·
11
PDF
Mapping the fractional cover of non-photosynthetic vegetation and its spatiotemporal variations in the Xilingol grassland using MODIS imagery (2000−2019)
2020
·
Guoqi Chai
, Jingpu Wang
, et al.
·
Geocarto International
·
8
Power of SAR Imagery and Machine Learning in Monitoring Ulva prolifera: A Case Study of Sentinel-1 and Random Forest
2024
·
Longxiao Zheng
, Mengquan Wu
, et al.
·
Chinese Geographical Science
·
7
Land surface temperature retrieved using MODIS data in Shandong Province
2013
·
Mengquan Wu
, Anding Zhang
, et al.
·
International Conference on Geoinformatics
·
6
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Works count:
65
Citation count:
841
H-index:
17
I10-index:
22
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