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Environmental Sciences

D-Index
58
Citations
11390
World Ranking
3291
National Ranking
347

Overview

Ronghua Ma is affiliated with the Chinese Academy of Sciences in China and has a significant body of research focused on environmental science and earth and planetary sciences. Their work particularly addresses fields such as oceanography, water science and technology, and environmental chemistry, among others.

The scientist's research encompasses several subfields including:

  • Oceanography
  • Water Science and Technology
  • Environmental Chemistry
  • Global and Planetary Change
  • Industrial and Manufacturing Engineering

Main topics covered in their publications include:

  • Marine and coastal ecosystems
  • Aquatic Ecosystems and Phytoplankton Dynamics
  • Water Quality Monitoring and Analysis
  • Hydrology and Watershed Management Studies
  • Flood Risk Assessment and Management
  • Water Quality Monitoring Technologies
  • Water Quality and Pollution Assessment

Ronghua Ma frequently publishes in the following venues:

  • Remote Sensing of Environment
  • Remote Sensing
  • China Scientific Data
  • SSRN Electronic Journal
  • IEEE Transactions on Geoscience and Remote Sensing

Among the recent papers featuring Ronghua Ma's contributions are:

  • Seamless retrievals of chlorophyll-a from Sentinel-2 (MSI) and Sentinel-3 (OLCI) in inland and coastal waters: A machine-learning approach, 2020, Remote Sensing of Environment
  • A machine learning approach to estimate chlorophyll-a from Landsat-8 measurements in inland lakes, 2020, Remote Sensing of Environment
  • ACIX-Aqua: A global assessment of atmospheric correction methods for Landsat-8 and Sentinel-2 over lakes, rivers, and coastal waters, 2021, Remote Sensing of Environment
  • A Chlorophyll-a Algorithm for Landsat-8 Based on Mixture Density Networks, 2021, Frontiers in Remote Sensing
  • Observations of water transparency in China's lakes from space, 2020, International Journal of Applied Earth Observation and Geoinformation

Frequent collaborators in their research include:

  • Zhigang Cao
  • Kun Xue
  • Junfeng Xiong
  • Minqi Hu
  • Hongtao Duan

Best Publications

  • Two-decade reconstruction of algal blooms in China's Lake Taihu.

    Hongtao Duan;Ronghua Ma;Xiaofeng Xu;Fanxiang Kong

  • Seamless retrievals of chlorophyll-a from Sentinel-2 (MSI) and Sentinel-3 (OLCI) in inland and coastal waters: A machine-learning approach

    Nima Pahlevan;Brandon Smith;John Schalles;Caren Binding

  • China’s lakes at present: Number, area and spatial distribution

    Unknown

  • Moderate Resolution Imaging Spectroradiometer (MODIS) observations of cyanobacteria blooms in Taihu Lake, China

    Chuanmin Hu;Zhongping Lee;Ronghua Ma;Kun Yu;Kun Yu

  • Aquatic color radiometry remote sensing of coastal and inland waters: Challenges and recommendations for future satellite missions

    Colleen B. Mouw;Steven Greb;Dirk Aurin;Paul M. DiGiacomo

  • A machine learning approach to estimate chlorophyll-a from Landsat-8 measurements in inland lakes

    Zhigang Cao;Ronghua Ma;Hongtao Duan;Nima Pahlevan

  • A half‐century of changes in China's lakes: Global warming or human influence?

    Ronghua Ma;Hongtao Duan;Chuanmin Hu;Xuezhi Feng

  • ACIX-Aqua: A global assessment of atmospheric correction methods for Landsat-8 and Sentinel-2 over lakes, rivers, and coastal waters

    Nima Pahlevan;Antoine Mangin;Sundarabalan V. Balasubramanian;Brandon Smith

  • Climate- and human-induced changes in suspended particulate matter over Lake Hongze on short and long timescales

    Zhigang Cao;Hongtao Duan;Lian Feng;Ronghua Ma

  • Applying remote sensing techniques to monitoring seasonal and interannual changes of aquatic vegetation in Taihu Lake, China

    Juhua Luo;Xinchuan Li;Ronghua Ma;Fei Li

  • Evaluation of remote sensing algorithms for cyanobacterial pigment retrievals during spring bloom formation in several lakes of East China

    Hongtao Duan;Ronghua Ma;Chuanmin Hu

  • Nutrient reduction magnifies the impact of extreme weather on cyanobacterial bloom formation in large shallow Lake Taihu (China)

    Zhen Yang;Min Zhang;Xiaoli Shi;Fanxiang Kong

  • Satellite Detection of Surface Water Extent: A Review of Methodology

    Unknown

  • Development of remote sensing algorithm for total phosphorus concentration in eutrophic lakes: Conventional or machine learning?

    Unknown

  • MODIS observations of cyanobacterial risks in a eutrophic lake: Implications for long-term safety evaluation in drinking-water source.

    Hongtao Duan;Min Tao;Steven Arthur Loiselle;Wei Zhao

  • Monitoring lake changes of Qinghai-Tibetan Plateau over the past 30 years using satellite remote sensing data

    Wei Wan;Wei Wan;Pengfeng Xiao;Xuezhi Feng;Hui Li

  • A novel MERIS algorithm to derive cyanobacterial phycocyanin pigment concentrations in a eutrophic lake: Theoretical basis and practical considerations

    Lin Qi;Lin Qi;Chuanmin Hu;Hongtao Duan;Jennifer Cannizzaro

  • Investigation of chlorophyll‐a and total suspended matter concentrations using Landsat ETM and field spectral measurement in Taihu Lake, China

    Ronghua Ma;Jinfang Dai

  • GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality

    Unknown

  • Bio‐optical model with optimal parameter suitable for Taihu Lake in water colour remote sensing

    R. Ma;J. Tang;J. Dai

  • Mapping impervious surface expansion using medium-resolution satellite image time series: a case study in the Yangtze River Delta, China

    Feng Gao;Eric Brown de Colstoun;Ronghua Ma;Qihao Weng

  • Fourteen-Year Record (2000–2013) of the Spatial and Temporal Dynamics of Floating Algae Blooms in Lake Chaohu, Observed from Time Series of MODIS Images

    Yuchao Zhang;Ronghua Ma;Min Zhang;Hongtao Duan

  • Detecting Aquatic Vegetation Changes in Taihu Lake, China Using Multi-temporal Satellite Imagery.

    Ronghua Ma;Hongtao Duan;Xiaohong Gu;Shouxuan Zhang

  • Optical characterization of black water blooms in eutrophic waters

    Hongtao Duan;Ronghua Ma;Steven Arthur Loiselle;Qiushi Shen

Frequent Co-Authors

Hongtao Duan
Hongtao Duan Chinese Academy of Sciences
Steven Loiselle
Steven Loiselle University of Siena
Chuanmin Hu
Chuanmin Hu University of South Florida St. Petersburg
Fei Li
Fei Li Zhongnan University of Economics and Law
Nima Pahlevan
Nima Pahlevan Langley Research Center
Wenjiang Huang
Wenjiang Huang Chinese Academy of Sciences
Jin Chen
Jin Chen Beijing Normal University
Zhongping Lee
Zhongping Lee University of Massachusetts Boston
Lian Feng
Lian Feng Southern University of Science and Technology
Claudia Giardino
Claudia Giardino National Research Council (CNR)

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