Zhongfeng Qiu

ORCID: 0000-0003-1167-3991
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About
Contact & Profiles
Research Areas
  • Marine and coastal ecosystems
  • Oceanographic and Atmospheric Processes
  • Atmospheric aerosols and clouds
  • Atmospheric chemistry and aerosols
  • Water Quality Monitoring and Analysis
  • Marine and fisheries research
  • Atmospheric Ozone and Climate
  • Ocean Waves and Remote Sensing
  • Water Quality Monitoring Technologies
  • Atmospheric and Environmental Gas Dynamics
  • Air Quality Monitoring and Forecasting
  • Air Quality and Health Impacts
  • Coastal and Marine Dynamics
  • Marine Biology and Ecology Research
  • Marine and coastal plant biology
  • Remote Sensing in Agriculture
  • Remote Sensing and Land Use
  • Remote Sensing and LiDAR Applications
  • Aquatic Ecosystems and Phytoplankton Dynamics
  • Coral and Marine Ecosystems Studies
  • Tropical and Extratropical Cyclones Research
  • Oil Spill Detection and Mitigation
  • Meteorological Phenomena and Simulations
  • Microbial Community Ecology and Physiology
  • Remote-Sensing Image Classification

Nanjing University of Information Science and Technology
2016-2025

Sanya University
2024-2025

Institute of Electrical Engineering
2024

Chinese Academy of Sciences
2004-2024

State Key Laboratory of Remote Sensing Science
2024

Ministry of Natural Resources
2024

Nanjing University
2012-2020

University of Information Science
2020

Jiangsu Provincial Institute of Geological Survey
2016

Bedford Institute of Oceanography
2016

The unprecedented slowdown in China during the COVID-19 period of November 2019 to April 2020 should have reduced pollution smog-laden cities. However, moderate resolution imaging spectrometer (MODIS) satellite retrievals aerosol optical depth (AOD) show a marked increase aerosols over Beijing–Tianjin–Hebei (BHT) region and most Northeast Central China, compared with previous winter. Fine particulate (PM2.5) data from ground monitoring stations an 19.5% Beijing January February 2020, no...

10.3390/rs12132100 article EN cc-by Remote Sensing 2020-06-30

Cyanobacterial blooms are a widespread phenomenon in aquatic ecosystems worldwide, causing significant harm to the ecological environment. Lake Taihu is third-largest freshwater lake China. The region has been increasingly affected by cyanobacterial blooms, drawing greater attention from people. Currently, numerous models have developed for detecting algal bloom based on spectral characteristics. However, intuitive basis of optical detection lies water color. Therefore, constructing an model...

10.3390/jmse13030540 article EN cc-by Journal of Marine Science and Engineering 2025-03-11

10.1016/j.jag.2012.12.005 article EN International Journal of Applied Earth Observation and Geoinformation 2013-02-09

Surface reflectance (SR) estimation is the most critical preprocessing step for deriving geophysical parameters in multi-sensor remote sensing. Most state-of-the-art SR methods, such as vector version of Second Simulation Satellite Signal Solar Spectrum (6SV) radiative transfer (RT) model, depend on accurate information aerosol and atmospheric gases. In this study, a Simplified Robust Reflectance Estimation Method (SREM) based equations from 6SV RT without integrating particles gasses,...

10.3390/rs11111344 article EN cc-by Remote Sensing 2019-06-04

The emergence of hyperspectral optical satellite sensors for ocean observation provides potential more detailed information from aquatic ecosystems. German mission EnMAP (enmap.org) currently in the production phase is supported by a project to explore capability using data and other future space. One task identify phytoplankton taxonomic groups. To fulfill this objective, on basis laboratory-measured absorption coefficients cultures (aph(λ)) corresponding simulated remote sensing...

10.3390/rs71114781 article EN cc-by Remote Sensing 2015-11-06

Accurate knowledge of the carbon budget on global and regional scales is critically important to design mitigation strategies aimed at stabilizing atmospheric dioxide (CO2) emissions. For a better understanding CO2 variation trends over Asia, in this study, column-averaged dry air mole fraction (XCO2) derived from National Oceanic Atmospheric Administration (NOAA) CarbonTracker (CT) was compared with that Greenhouse Gases Observing Satellite (GOSAT) September 2009 August 2019 Orbiting Carbon...

10.3390/rs12152498 article EN cc-by Remote Sensing 2020-08-04

Carbon dioxide (CO2) is the most important greenhouse gas and several satellites have been launched to monitor atmospheric CO2 at regional global scales. Evaluation of measurements obtained from these against accurate precise instruments crucial. In this work, aircraft were carried out over Qinhuangdao, China (39.9354°N, 119.6005°E), on 14, 16, 19 March 2019 validate Greenhous gases Observing SATellite (GOSAT) Orbiting Observatory 2 (OCO-2) retrievals. The airborne in situ mounted a research...

10.3390/rs13050899 article EN cc-by Remote Sensing 2021-02-27

This study investigates spatiotemporal changes in air pollution (particulate as well gases) during the COVID-19 lockdown period over major cities of Bangladesh. The investigated aerosol optical depth (AOD) from Moderate Resolution Imaging Spectroradiometer (MODIS) onboard Terra and Aqua satellites, PM2.5 PM10 Copernicus Atmosphere Monitoring Service (CAMS), NO2 O3 TROPOMI-5P, March to June 2019–2020. Additionally, subtypes Cloud-Aerosol Lidar Infrared Pathfinder (CALIPSO) were used explore...

10.3390/rs13050877 article EN cc-by Remote Sensing 2021-02-26

Rapid industrialization and urbanization along with a growing population are contributing significantly to air pollution in China. Evaluation of long-term aerosol optical depth (AOD) data from models reanalysis, can greatly promote understanding spatiotemporal variations To do this, AOD (550 nm) values 2000 2014 were obtained the Coupled Model Inter-comparison Project (CIMP6), second version Modern-Era Retrospective analysis for Research, Applications (MERRA-2), Moderate Resolution Imaging...

10.1016/j.gsf.2021.101325 article EN cc-by-nc-nd Geoscience Frontiers 2021-11-11

Distribution of the suspended particulate matter (SPM) concentration is a key issue for analyzing deposition and erosion variety estuary evaluating material fluxes from river to sea. Satellite remote sensing useful tool investigate spatial variation SPM in estuarial zones. However, algorithm developments validations concentrations Yellow River Estuary (YRE) have been seldom performed before therefore our knowledge on quality retrieval poor. In this study, we developed new simple optical...

10.1364/oe.21.027891 article EN cc-by Optics Express 2013-11-06

Using remote sensing reflectance (R(rs)(λ), sr(-1)) and phycocyanin (PC, mg m(-3)) pigment data as well other bio-optical collected from two cruises in September December 2009 Lake Dianchi (a typical plateau lake of China), we developed a practical approach to estimate PC concentrations that could be applied directly Landsat measurements. The visible near-IR bands their band ratios simulated were used inputs the algorithms, where algorithm coefficients for each sensor determined through...

10.1364/oe.23.003055 article EN cc-by Optics Express 2015-02-02

Knowledge of the chlorophyll-a dynamics and their long-term changes is important for assessing marine ecosystems, especially coastal waters. In this study, spatial temporal variability sea surface concentration (Chl-a) in Bohai Sea were investigated using 13-year (2000–2012) satellite-derived products from MODIS SeaWiFS observations. Based on linear regression analysis, results showed that entire experienced an increase Chl-a a scale, with largest central smallest strait. Distinct seasonal...

10.3390/rs9060582 article EN cc-by Remote Sensing 2017-06-10

In Moderate Resolution Imaging Spectroradiometer (MODIS) Collection (C6) aerosol products, the Dark Target (DT) and Deep Blue (DB) algorithms provide optical depth (AOD) observations at 3 km (DT3K) 10 (DT10K), resolution (DB10K), respectively. this study, DB10K is resampled to grid (DB3K) using nearest neighbor interpolation technique merged with DT3K generate a new DT DB product (DTB3K) on Simplified Merge Scheme (SMS). The goal supplement high-resolution information over dense vegetation...

10.3390/rs10030463 article EN cc-by Remote Sensing 2018-03-15

In this study, the MODerate resolution Imaging Spectroradiometer (MODIS) Collections 6 and 6.1 merged Dark Target (DT) Deep Blue (DB) aerosol products (DTBC6 DTBC6.1) at 0.55 µm were validated from 2004–2014 against Aerosol Robotic Network (AERONET) Version 2 Level 2.0 AOD obtained 68 global sites located over diverse vegetated surfaces. These surfaces categorized by static values of monthly Normalized Difference Vegetation Index (NDVI) observations for same time period MODIS level-3 NDVI...

10.3390/rs10030475 article EN cc-by Remote Sensing 2018-03-19

In this study, Terra-MODIS (Moderate Resolution Imaging Spectroradiometer) Collections 6 and 6.1 (C6 & C6.1) aerosol optical depth (AOD) retrievals with the recommended high-quality flag (QF = 3) were retrieved from Dark-Target (DT), Deep-Blue (DB) merged DT DB (DTB) level–2 AOD products for verification against Aerosol Robotic Network (AERONET) Version 3 Level 2.0 data obtained 2004–2014 three sites located in Beijing-Tianjin-Hebei (BTH) region. These are: Beijing, over mixed bright...

10.3390/rs11050486 article EN cc-by Remote Sensing 2019-02-27

Abstract The distribution of suspended particulate matter (SPM) and its variations in estuary regions are key to promoting carbon, oxygen, nutrient cycling coastal nearby seas. This study presents SPM estimations for the Yellow River from Landsat 8 Operational Land Imager (L8/OLI) data 2013 2016. L8/OLI‐measured remote sensing reflectance ( R rs ) was cross‐validated with Moderate Resolution Imaging Spectroradiometer (MODIS) measurements, concentrations calculated tuned retrieval model were...

10.1002/2016jc012412 article EN Journal of Geophysical Research Oceans 2016-12-20

Ulva prolifera (U. prolifera) green tide outbreaks have occurred in the Yellow Sea of China for many years, causing serious losses to marine ecology and economy. The monitoring tracking U. is a crucial aspect ecological disaster prevention control management. This paper aims investigate spatiotemporal distribution changes throughout its life cycle. A survey from 2008 2023 was conducted using multi-source remote sensing images. Long-term analysis revealed evolution process tide, including...

10.3390/jmse12040630 article EN cc-by Journal of Marine Science and Engineering 2024-04-08
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