Zhihua Mao

ORCID: 0000-0002-0066-1808
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About
Contact & Profiles
Research Areas
  • Marine and coastal ecosystems
  • Water Quality Monitoring and Analysis
  • Atmospheric and Environmental Gas Dynamics
  • Remote Sensing and LiDAR Applications
  • Crystallization and Solubility Studies
  • X-ray Diffraction in Crystallography
  • Remote Sensing and Land Use
  • Oceanographic and Atmospheric Processes
  • Atmospheric aerosols and clouds
  • Water Quality Monitoring Technologies
  • Remote-Sensing Image Classification
  • Remote Sensing in Agriculture
  • Environmental Changes in China
  • Oil Spill Detection and Mitigation
  • Underwater Acoustics Research
  • Atmospheric chemistry and aerosols
  • Ocean Waves and Remote Sensing
  • Crystal structures of chemical compounds
  • Adaptive Control of Nonlinear Systems
  • Atmospheric Ozone and Climate
  • Air Quality Monitoring and Forecasting
  • Underwater Vehicles and Communication Systems
  • Calibration and Measurement Techniques
  • Advanced Optical Sensing Technologies
  • Marine and fisheries research

Second Institute of Oceanography
2016-2025

Shanghai Jiao Tong University
2019-2024

Nanjing University
2016-2024

Ministry of Natural Resources
2013-2024

Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)
2020-2024

Hainan Normal University
2024

State Key Laboratory of Satellite Ocean Environment Dynamics
2006-2024

Zhejiang Ocean University
2010-2024

Zhejiang University
2010-2024

Nanjing University of Information Science and Technology
2024

In recent years, airborne lidar has been used in a wide range of oceanic applications, including detection bathymetry, bubbles, internal waves, and schools fish. However, it not yet extensively applied Chinese seas. For example, there have no studies to detect subsurface plankton layers the South China Sea (SCS) by lidar. this study, we investigated technology's applicability for identifying Sanya Bay, SCS. Three flight experiments were carried out March 2018 September 2017. Shipboard...

10.1364/oe.26.029134 article EN cc-by Optics Express 2018-10-24

Detecting the vertical profile of optical properties is an important task in remote sensing upper ocean, especially for 3-D reconstruction. Ocean color can only provide surface information, while light detection and ranging (lidar) technique depth-resolved data. Lidar global-scale observations ocean days nights with minimal atmospheric correction errors. Unfortunately, due to strong multiple scattering effects that occur when propagates seawater, simple lidar equation may cause some...

10.1109/tgrs.2019.2926891 article EN IEEE Transactions on Geoscience and Remote Sensing 2019-08-08

Abstract In estuarine and coastal ecosystems, the majority of previous studies have considered coupled nitrification-denitrification (CND) processes to be exclusively sediment based, with little focus on suspended particulate matter (SPM) in water column. Here, we present evidence CND column Hangzhou Bay, one largest macrotidal embayments world. Spearman’s correlation analysis showed that SPM was negatively correlated nitrate ( rho = −0.372, P 0.018) marker genes for nitrification...

10.1038/s41598-018-20688-4 article EN cc-by Scientific Reports 2018-01-29

Retrieving the water depth by satellite is a rapid and effective method for obtaining underwater terrain. In optical shallow waters, bottom signal has great impact on radiation from which related to depth. spatial distribution characteristic of quality parameters derived updated quasi analysis algorithm (UQAA) highly correlated with brightness. Because reflection strongly depth, may helpful applicable remote sensing based bathymetry. Therefore, influence bathymetry retrieval UQAA IOPs worth...

10.1364/oe.456094 article EN cc-by Optics Express 2022-04-12

This paper presents a new approach to multiscale segmentation of satellite multispectral imagery using edge information. The Canny detector is applied perform detection. detected features are then utilized in loop, and the merge procedure for adjacent image objects controlled by separability criterion that combines information with scale. significance measured partitioned regions assessment. present method based on half-partition structure, which composed three steps: single detection,...

10.1109/tgrs.2012.2194502 article EN IEEE Transactions on Geoscience and Remote Sensing 2012-05-24

A novel remote sensing algorithm was developed based on Landsat 8 Operational Land Imager (OLI) data to separately recognize concurrent Sargassum and Ulva prolifera in the South Yellow Sea. This has three main steps: 1) classification of macroalgae-containing pixels from normal seawater by means a mature floating algae index (FAI) approach; 2) first-round separate recognition targets using newly "Sargassum Index I (SUI-I)" method; 3) further fine identification applying another new (SUI-II)...

10.1016/j.jag.2021.102302 article EN cc-by-nc-nd International Journal of Applied Earth Observation and Geoinformation 2021-01-27

Multifunctional diimidazole, 2,6-bis[(imidazol-1-yl)methyl]-4-methylphenol (BIP), was crystallized with different dicarboxylic acids, such as oxalic acid (OA), isophthalic (IPA), and terephthalic (TPA), affording crystals of (BIP2+)·(OA2-) (1), (BIP)·(IPA) (2), (BIP)·(TPA) (3), (BIP)·(TPA)0.5 (4). X-ray single-crystal diffraction studies reveal that all four organic contain strong classical hydrogen bonds (such O−H···N, O−H···O, etc.), which are usually observed in cocrystals carboxylic...

10.1021/cg060764b article EN Crystal Growth & Design 2007-03-20

A novel metal-organic framework with one-dimensional channels {[Cd(3)(CH3COO)2(H2O)2] (CH3CN)x(CH3OH)y} (5), based on conformationally restricted linear 4,4′-bis(1-imidazolyl)biphenyl (3) and cadmium acetate dihydrate, has been synthesized. It crystallizes in the triclinic system, space group P1̅ a = 5.6528(11) Å, b 9.887(3) c 12.924(3) Z 1. The experimental results demonstrate that coordinated crystal water molecules may play key role formation of frameworks.

10.1021/cg800038j article EN Crystal Growth & Design 2008-08-19

Knowledge about the spatiotemporal distribution of sea surface salinity (SSS) provides valuable and important information for understanding various marine biogeochemical processes ecosystems, especially those coastal waters significantly affected by human activities. Remote-sensing techniques have been used to monitor in open ocean with their advantages wide-area surveys real-time monitoring. However, potential challenges remain when using satellite data coarse resolutions, leading a loss...

10.3390/rs11070775 article EN cc-by Remote Sensing 2019-03-31

Qiandao Lake is located in the northern edge of subtropics, and its water body thermally stratified summer. It great scientific significance to study vertical physical chemical indexes phytoplankton characteristics reveal aquatic ecosystem structure lake. Conventional observation uses in-situ profile instruments, which time consuming labor intensive. In recent years, lidar has shown increasing oceanic applications; however, it not yet been extensively applied inland water. There are no...

10.1364/oe.381617 article EN cc-by Optics Express 2019-12-18

Oceanic lidar is an effective tool for detecting water's vertical structure. Cost-effective design of oceanic system and processing algorithms requires simulator. In this study, simulation was developed, which available to the public ( <uri xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">https://github.com/soedchen/OLE</uri> ), named Lidar Emulator (OLE). OLE improved semianalytic Monte Carlo-based simulator, has capability dealing with physics light...

10.1109/tgrs.2020.3035381 article EN IEEE Transactions on Geoscience and Remote Sensing 2020-11-13

Water depth estimation in seaports is essential for effective port management. This paper presents an empirical approach water determination from satellite imagery through the integration of multiple datasets and machine learning algorithms. The implementation details proposed are provided compared against different existing algorithms with a single training set. For set method, our analysis shows that method provides better root-mean-square error (RMSE) higher coefficient (R2) under turbid...

10.3390/rs13214328 article EN cc-by Remote Sensing 2021-10-28
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