A5101960995- Marine and coastal ecosystems
- Aquatic Ecosystems and Phytoplankton Dynamics
- Water Quality Monitoring Technologies
- Water Quality Monitoring and Analysis
- Space Satellite Systems and Control
- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Astro and Planetary Science
- Water Quality and Pollution Assessment
- Flood Risk Assessment and Management
- Remote-Sensing Image Classification
- Atmospheric and Environmental Gas Dynamics
- Infrared Target Detection Methodologies
- Space exploration and regulation
- Oil Spill Detection and Mitigation
- Oceanographic and Atmospheric Processes
- Remote Sensing and Land Use
- Stellar, planetary, and galactic studies
- Advanced Measurement and Detection Methods
- Aquatic Ecosystems and Biodiversity
- Hydrology and Watershed Management Studies
- Inertial Sensor and Navigation
- High-Velocity Impact and Material Behavior
- Spacecraft Design and Technology
- Planetary Science and Exploration
Nanjing Institute of Geography and Limnology
2017-2025
Chinese Academy of Sciences
2015-2025
University of Chinese Academy of Sciences
2016-2024
National Astronomical Observatories
2011-2024
Sensors (United States)
2021
Watershed
2021
Aerospace Information Research Institute
2019
Jilin University
2018
Astronomical Observatory
2012
Aquatic vegetation (AV) is vital for maintaining the health of lake ecosystems, with submerged aquatic (SAV) and floating/emergent (FEAV) representing clear shaded states, respectively. However, global SAV FEAV dynamics are poorly understood due to data scarcity. To address this gap, we developed an innovative AV mapping algorithm workflow using satellite imagery (1.4 million Landsat images) from 1989 2021 created a database across 5,587 shallow lakes. Our findings suggest that covers...
Water transparency, usually denoted by Secchi disk depth (SSD), represents the first-order description of water quality and has important implications for diversity productivity aquatic life. In China, lakes supply freshwater ecosystem services to nearly a billion people. Therefore, real time monitoring lake transparency is great significance. Moreover, understanding how why varies in space response different driving forces needed understand, manage, predict quality. Based on time-saving...
Long-term datasets of chlorophyll-a (Chla) are necessary to evaluate changes in eutrophication and assist lake management; however, current aquatic remote sensing usually start after 2000. Here, a 36-year Chla dataset was assembled from Landsat Thematic Mapper (TM), Enhanced Plus (ETM+), Operational Imager (OLI) imagery for Lake Taihu (China) over the period 1984 2019. TM, ETM+ OLI reflectances were compared those using MODerate resolution Imaging Spectroradiometer (MODIS) on Terra,...
The concentration and composition of suspended particulate matter provide important information for evaluating water quality understanding the variability in underwater light field lakes. In this study, inherent optical property (IOP)-centered algorithms were developed to estimate concentrations chlorophyll-a (Chla, [mg/m3]) (SPM, [g/m3]) Chla/SPM ratio (an indicator composition) 118 lakes middle lower reaches Yangtze Huai Rivers (MLYHR) China using Sentinel-3A/OLCI (Ocean Land Colour...
Moderate-high resolution satellite missions provide an opportunity to capture subtle spatial variability in lakes; however, the sparsity of time series for individual instruments cannot monitor temporal variation lake environment. To date, studies on joint observations chlorophyll-a (Chl-a) inland lakes from multiple have been poorly reported. Here, we generated a harmonized Chl-a dataset Yunnan–Guizhou Plateau China 2013 2022 by Landsat 8/9 and Sentinel-2A/B virtual constellation. This...
Lakes play an important role in the global carbon cycle; however, there are still large uncertainties estimation of lake emission due to limitations conducting field surveys at geographic scales. Using long-term Moderate-Resolution Imaging Spectroradiometer (MODIS) imagery and observation data eutrophic Lake Taihu, we developed a novel approach estimate concentration dissolved dioxide (cCO2) lakes. Based on MODIS-derived chlorophyll-a concentration, surface temperature, diffuse attenuation...
Lake Dianchi is one of the most eutrophic lakes in China. The decline water quality and occurrence massive algal blooms pose a significant threat to health environmental safety ecosystem, making key concern for bloom management Obtaining spatiotemporal dynamics longest time possible crucial future prediction. However, it difficult acquire long-term record from single sensor order cover more extended period eutrophication lake due limitation spatial temporal resolution sensors. In this study,...
The Ocean and Land Color Imager (OLCI) on the Sentinel-3A satellite, which was launched by European Space Agency in 2016, is a new-generation water color sensor with spatial resolution of 300 m 21 bands range 400–1020 nm. OLCI important to expansion remote sensing monitoring inland waters using satellite data. In this study, we developed dual band ratio algorithm for downwelling diffuse attenuation coefficient at 490 nm (Kd(490)) Lake Taihu, large shallow lake China, based data measured...
Optical water types (OWTs) were identified from remote sensing reflectance (Rrs(λ)) values in a field-measured dataset of several large lakes the lower reaches Yangtze and Huai River (LYHR) Basin. Four OWTs determined normalized spectra (NRrs(λ)) using k-means clustering approach, Sentinel 3A OLCI (Ocean Land Color Instrument) image data over LYHR The results showed that 1) Each OWT is associated with different bio-optical properties, such as concentration chlorophyll-a (Chla), suspended...
Lakes are major emitters of methane (CH4); however, a longstanding challenge with quantifying the magnitude emissions remains as result large spatial and temporal variability. This study was designed to address issue using satellite remote sensing advantages coverage resolution. Using Aqua/MODIS imagery (2003–2020) in situ measured data (2011–2017) eutrophic Lake Taihu, we compared performance eight machine learning models predict diffusive CH4 found that random forest (RF) model achieved...
Water clarity, indexed by Secchi disk depth (Zsd), comprehensively reflects water quality and can be monitored satellite. Zsd may vary across lakes globally, driven natural human activities (climate, land use/land cover, lake morphological characteristics, etc.). Based on Sentinel-3 Ocean Land Color Instrument (OLCI) imagery, we explored the driving factors of spatiotemporal patterns in Eastern China (including Northeast Plain Mountain Lake (NPML) Zone (EPL) Zone). Spatially, responses were...