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View article: Underestimated accelerated Antarctic phytoplankton net primary production in winter over past decade from spaceborne LiDAR
Underestimated accelerated Antarctic phytoplankton net primary production in winter over past decade from spaceborne LiDAR Open
The Southern Ocean's vital carbon sink is driven by phytoplankton Net Primary Production (NPP). Winter phytoplankton seed spring algal blooms and regulate nutrient cycling and ecosystem dynamics, yet Antarctic winter NPP remains poorly con…
View article: Airborne blue lidar reveals the ocean’s hidden biological engine in the South China Sea
Airborne blue lidar reveals the ocean’s hidden biological engine in the South China Sea Open
View article: Substantially underestimated winter CO <sub>2</sub> sources of the Southern Ocean
Substantially underestimated winter CO <sub>2</sub> sources of the Southern Ocean Open
The size and control mechanism of the Southern Ocean’s carbon fluxes remain highly uncertain due to sparse winter observations. Here, we integrate satellite light detection and ranging (LIDAR) measurements with machine learning to assess t…
View article: GOFENet: A Hybrid Transformer–CNN Network Integrating GEOBIA-Based Object Priors for Semantic Segmentation of Remote Sensing Images
GOFENet: A Hybrid Transformer–CNN Network Integrating GEOBIA-Based Object Priors for Semantic Segmentation of Remote Sensing Images Open
Geographic object-based image analysis (GEOBIA) has demonstrated substantial utility in remote sensing tasks. However, its integration with deep learning remains largely confined to image-level classification. This is primarily due to the …
View article: Remote sensing of particulate organic carbon in the South China Sea using airborne high-spectral-resolution LiDAR
Remote sensing of particulate organic carbon in the South China Sea using airborne high-spectral-resolution LiDAR Open
The vertical profiles of particulate organic carbon (POC) in the South China Sea (SCS) observed during an airborne high-spectral-resolution light detection and ranging (LiDAR) (HSRL) flight experiment conducted on May 24, 2024, were examin…
View article: A Review of Machine Learning Applications in Ocean Color Remote Sensing
A Review of Machine Learning Applications in Ocean Color Remote Sensing Open
Ocean color remote sensing technology has proven to be an indispensable tool for monitoring ocean conditions, as it has consistently provided critical data on global ocean optical properties, color, and biogeochemical parameters over sever…
View article: Prediction of Sea Surface Chlorophyll-a Concentrations by Remote Sensing and Deep Learning
Prediction of Sea Surface Chlorophyll-a Concentrations by Remote Sensing and Deep Learning Open
Accurate prediction of the spatiotemporal distribution of chlorophyll-a (Chl-a) is essential for evaluating marine ecosystem health and predicting ecological disasters. Current methods struggle to capture short-term variability and periodi…
View article: Research on Monitoring Oceanic Precipitable Water Vapor and Short-Term Rainfall Forecasting Using Low-Cost Global Navigation Satellite System Buoy
Research on Monitoring Oceanic Precipitable Water Vapor and Short-Term Rainfall Forecasting Using Low-Cost Global Navigation Satellite System Buoy Open
This study utilizes a low-cost Global Navigation Satellite System (GNSS) buoy platform, combined with multi-system GNSS data, to investigate the impact of GNSS signal quality and multipath effects on the accuracy of atmospheric precipitabl…
View article: Dual-calibrated Co-training Framework for Personalized Federated Semi-Supervised Medical Image Segmentation
Dual-calibrated Co-training Framework for Personalized Federated Semi-Supervised Medical Image Segmentation Open
Federated Semi-Supervised Learning (FSSL) has emerged as a crucial topic in medical image analysis, allowing multiple medical institutions to collaboratively train a global model using limited labeled data. However, existing FSSL methods f…
View article: Enhancing coastal bathymetric mapping with physics-informed recurrent neural networks synergizing Gaofen satellite imagery and ICESat-2 lidar data: A case in the South China Sea
Enhancing coastal bathymetric mapping with physics-informed recurrent neural networks synergizing Gaofen satellite imagery and ICESat-2 lidar data: A case in the South China Sea Open
View article: Impact of the Uncertainties of Polarized Water-Leaving Radiance on the Retrieval of Oceanic Constituents and Inherent Optical Properties in Global Oceans via Multiangle Polarimetric Observations
Impact of the Uncertainties of Polarized Water-Leaving Radiance on the Retrieval of Oceanic Constituents and Inherent Optical Properties in Global Oceans via Multiangle Polarimetric Observations Open
Compared with traditional single-view and radiometric-only observations, multiangle polarimetric observations of water-leaving radiation play a crucial role in enhancing the retrieval of ocean constituents and aerosol microphysical propert…
View article: Retrieving oceanic constituents and inherent optical properties in global oceans using multi-angular polarimetric measurements
Retrieving oceanic constituents and inherent optical properties in global oceans using multi-angular polarimetric measurements Open
Multi-angle polarization characteristics of water-leaving radiation are crucial for the retrieval of the oceanic constituents and the inherent optical properties (IOPs). However, the feasibility of using the polarization spectrum to retrie…
View article: Estimation of the primary productivity and particulate organic carbon in inland waters using shipborne polarimetric lidar
Estimation of the primary productivity and particulate organic carbon in inland waters using shipborne polarimetric lidar Open
Estimation of primary productivity (PP) and particulate organic carbon (POC) in inland waters is of significant importance in understanding the global climate change and carbon cycle. In this study, we developed an enhanced PP inversion mo…
View article: Consistency analysis of water diffuse attenuation between ICESat-2 and MODIS in Marginal Sea: A case study in China Sea
Consistency analysis of water diffuse attenuation between ICESat-2 and MODIS in Marginal Sea: A case study in China Sea Open
View article: Vertical structure observation from spaceborne lidar ICESat-2 in East China Sea
Vertical structure observation from spaceborne lidar ICESat-2 in East China Sea Open
Nowadays, spaceborne LiDAR technology, particularly ICESat-2, has become a transformative tool in marine environmental research. Unlike traditional passive optical remote sensing methods, ICESat-2 offers detailed vertical structure mapping…
View article: SAMC: A Novel Semi-Analytical Method for Simulating Full-Polarization LiDAR Signals in Marine Environments
SAMC: A Novel Semi-Analytical Method for Simulating Full-Polarization LiDAR Signals in Marine Environments Open
View article: An Adaptive Inversion Framework for Shipborne Single-Photon LiDAR to Retrieve Ocean Optical Profiles With Multiple Scattering Correction
An Adaptive Inversion Framework for Shipborne Single-Photon LiDAR to Retrieve Ocean Optical Profiles With Multiple Scattering Correction Open
View article: The importance of global synchronous observation for estimating oceanic chlorophyll-a
The importance of global synchronous observation for estimating oceanic chlorophyll-a Open
Over the last three decades, ocean color satellites have recorded continuous change in phytoplankton concentration, and in doing so, the satellites have helped marine remote sensing to become an emerging discipline. However, ocean color sa…
View article: Trend of harmful algal bloom dynamics from GOCI observed diurnal variation of chlorophyll a off Southeast coast of China
Trend of harmful algal bloom dynamics from GOCI observed diurnal variation of chlorophyll a off Southeast coast of China Open
Timely and accurate observations of harmful algal blooms dynamics help to coordinate coastal protection and reduce the damage in advance. To date, predicting changes in the spatial distribution of algal blooms has been challenging due to t…
View article: Modeling the Influence of Precipitation on L-Band SMAP Observations of Ocean Surfaces Through Machine Learning Approach
Modeling the Influence of Precipitation on L-Band SMAP Observations of Ocean Surfaces Through Machine Learning Approach Open
A new forward model (FM) was developed to characterize the influence of precipitation on L-band passive ocean surface measurements. The FM, which relates rain-induced brightness temperature (TB) variations to the rain rate and wind speed (…
View article: Polarization-Based Enhancement for Oceanic Constituents and Inherent Optical Properties (Iops) Retrieval from Multi-Angular Polarimetric Measurements Over Global Oceans
Polarization-Based Enhancement for Oceanic Constituents and Inherent Optical Properties (Iops) Retrieval from Multi-Angular Polarimetric Measurements Over Global Oceans Open
View article: 10-Year Changes in Oceanic Mesoscale Eddies in Northeast Asia Using the Coupling of Goci and Satellite Altimetry Data
10-Year Changes in Oceanic Mesoscale Eddies in Northeast Asia Using the Coupling of Goci and Satellite Altimetry Data Open
View article: Research ReportDiurnal global ocean surface <i>p</i>CO2 and air–sea CO2 flux reconstructed from spaceborne LiDAR data
Research ReportDiurnal global ocean surface <i>p</i>CO2 and air–sea CO2 flux reconstructed from spaceborne LiDAR data Open
The ocean absorbs a significant amount of carbon dioxide (CO2) from the atmosphere, helping regulate Earth's climate. However, our knowledge of ocean CO2 sink levels remains limited. This research focused on assessing daily changes in ocea…
View article: Neural network spectral relationship to improve an inherent optical properties data processing system for residual error correction
Neural network spectral relationship to improve an inherent optical properties data processing system for residual error correction Open
The residual error was a critical indicator to measure the data quality of ocean color products, which allows a user to decide the valuable envisioned application of these data. To effectively remove the residual errors from satellite remo…
View article: Evaluation of the CALIPSO Lidar-observed particulate backscattering coefficient on different spatiotemporal matchup scales
Evaluation of the CALIPSO Lidar-observed particulate backscattering coefficient on different spatiotemporal matchup scales Open
The satellite lidar-derived ocean particulate backscattering coefficient (b bp ) has rarely been validated globally with in situ observations, and we need to understand how well the satellite CALIPSO lidar b bp approach performs. Whether l…
View article: Spatial and temporal variations in sea surface pCO2 and air-sea flux of CO2 in the Bering Sea revealed by satellite-based data during 2003–2019
Spatial and temporal variations in sea surface pCO2 and air-sea flux of CO2 in the Bering Sea revealed by satellite-based data during 2003–2019 Open
The understanding of long-time-series variations in air-sea CO 2 flux in the Bering Sea is critical, as it is the passage area from the North Pacific Ocean water to the Arctic. Here, a data-driven remote sensing retrieval method is constru…
View article: A vector radiative transfer model for simulating the microwave emissivity of sea foam based on matrix operator method
A vector radiative transfer model for simulating the microwave emissivity of sea foam based on matrix operator method Open
Modeling sea foam emissivity is important for microwave remote sensing of the ocean. Based on the matrix-operator method, we propose a vector radiative transfer model (RTM) for the simulation of wave propagation in the foam layer and the s…
View article: Satellite-derived bathymetry combined with Sentinel-2 and ICESat-2 datasets using machine learning
Satellite-derived bathymetry combined with Sentinel-2 and ICESat-2 datasets using machine learning Open
Most satellite-derived bathymetry (SDB) methods developed thus far from passive remote sensing data have required in situ water depth, thus limiting their utility in areas with no in situ data. Recently, new Ice, Cloud, and Land Elevation …
View article: Retrieving bbp and POC from CALIOP: A deep neural network approach
Retrieving bbp and POC from CALIOP: A deep neural network approach Open
View article: A New Semi-Analytical MC Model for Oceanic LIDAR Inelastic Signals
A New Semi-Analytical MC Model for Oceanic LIDAR Inelastic Signals Open
The design and processing algorithm of oceanic LIDAR requires an effective lidar simulator. Currently, most simulation methods for lidar signal propagation in seawater use elastic scattering. In this study, a new semi-analytical Monte Carl…