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Remotely Sensed Water Quality in Qatari Coastal Waters Between 2002 and 2022
Cheng Xue;Chuanmin Hu;Jennifer P. Cannizzaro;Brian B. Barnes;Lin Qi;Jing Shi;Yuyuan Xie;Benjamin D. Jaffe;David A. Palandro
Over the past two decades, Qatar has undergone significant economic growth and development, yet little information is available on long-term trends in seawater quality around the Qatar Peninsula. This study analyzed spatiotemporal variations of remotely sensed optical water quality (OWQ) parameters in Qatari coastal waters between 2002 and 2022. These OWQ parameters, including chlorophyll-a concen...Show More
Detecting Cyanobacterial Blooms in the Caloosahatchee River and Estuary Using PlanetScope Imagery and Deep Learning
Yao Yao;Chuanmin Hu;Jennifer P. Cannizzaro;Shuai Zhang;Brian B. Barnes;Yuyuan Xie;Lin Qi;Cassondra Armstrong;Zhiqiang Chen
Freshwater cyanobacterial blooms pose a major threat to local ecosystems, economies, and public health. Monitoring these occurrences is essential for water resource managers worldwide. Satellite remote sensing techniques can detect and quantify blooms in large inland and estuarine water bodies but monitoring blooms in small water bodies (< 10 km2), including narrow river/canal systems, remains cha...Show More
Uncertainties in MODIS-Derived Ulva Prolifera Amounts in the Yellow Sea: A Systematic Evaluation Using Sentinel-2/MSI Observations
Uncertainties are an integral part of remote sensing data products in order to quantify changes, yet due to patchiness and spatial heterogeneity, it is difficult to use field measurements to estimate uncertainties in the satellite-derived Ulva prolifera (U. prolifera, also called green tides) amounts in the Yellow Sea. This is perhaps why such estimates are missing in nearly all remote sensing lit...Show More
Vicarious Calibration of the Long Near Infrared Band: Cross-Sensor Differences in Sensitivity
Numerous assumptions and approximations are employed when translating satellite-derived radiance to surface remote sensing reflectance ( $R_{\mathrm {RS}}$ ) for ocean color applications. Among these is the vicarious calibration coefficient ( $g$ ) of the “long” near infrared band (NIR $_{\mathrm {L}}$ ) used for atmospheric correction. For this band, the prelaunch calibration has always been deem...Show More
Sea Snots in the Marmara Sea as Observed From Medium-Resolution Satellites
Multisensor medium-resolution satellite images from Moderate Resolution Imaging Spectroradiometer (MODIS), Visible Infrared Imaging Radiometer Suite (VIIRS), Ocean and Land Color Imager (OLCI), and Medium Resolution Imaging Spectrometer (MERIS) are used to study spatial and temporal distributions of sea snot features in the Marmara Sea between 2000 and 2021. Suspicious image slicks are identified ...Show More
Monitoring Sargassum Inundation on Beaches and Nearshore Waters Using PlanetScope/Dove Observations
Sargassum beaching events have been reported in recent years around the Caribbean Sea and FL, USA, causing numerous environmental and economic problems. Satellite remote sensing has been widely used to monitor Sargassum blooms in open waters, yet due to either coarse spatial resolution or low-revisit frequency, it is difficult to provide timely information on Sargassum inundation from traditional ...Show More
Discrimination of Biomass-Burning Smoke From Clouds Over the Ocean Using MODIS Measurements
Qing Wang;Yingcheng Lu;Chuanmin Hu;Yongxiang Hu;Minwei Zhang;Junnan Jiao;Jilian Xiong;Yongxue Liu;Zhenke Zhang
Smokes from biomass burning can contribute substantial amounts of hazardous substances and carbon to the atmosphere. These substances can be transported seaward and deposited on the ocean surface. In this study, Moderate Resolution Imaging Spectroradiometer (MODIS) images are used to map the relative smoke concentration over the ocean between November 8 and 11, 2018 from the recent California fire...Show More
A Machine Learning Approach to Estimate Surface Chlorophyll a Concentrations in Global Oceans From Satellite Measurements
Various approaches have been proposed to estimate surface ocean chlorophyll $a$ concentrations (Chl, mg m−3) from spectral reflectance measured either in the field or from space, each with its own strengths and limitations. Here, we develop a machine learning approach to reduce the impact of spectral noise and improve algorithm performance at the global scale for multiple satellite sensors. Amon...Show More
Automatic Extraction of Sargassum Features From Sentinel-2 MSI Images
Frequent Sargassum beaching in the Caribbean Sea and other regions has caused severe problems for local environments and economies. Although coarse-resolution satellite instruments can provide large-scale Sargassum distributions, their use is problematic in nearshore waters that are directly relevant to local communities. Finer resolution instruments, such as the multispectral instruments (MSIs) o...Show More
Sensitivity of Satellite Ocean Color Data to System Vicarious Calibration of the Long Near Infrared Band
Satellite ocean color missions require accurate system vicarious calibrations (SVC) to retrieve the relatively small remote-sensing reflectance (Rrs, sr-1) from the at-sensor radiance. However, the current atmospheric correction and SVC procedures do not include calibration of the “long” near infrared band (NIRL-869 nm for MODIS), partially because earlier studies, based primarily on simulations, ...Show More
Investigation of Submesoscale Eddies from Modis Color Index Products in Coastal Regions: A Case Study in Subei Shoal
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium
Year: 2020 | Conference Paper |
The investigation of submesoscale coastal eddies requires the products of high spatiotemporal resolution. MODIS color index (CI) products can improve spatial coverage in coastal regions to detect submesoscale signals, when observations of high-frequency radars are limited in small areas. In our study, a gradient parameter derived by CI images is used to identify submesoscale eddies by the eddy det...Show More
Evaluation of Remote Sensing Reflectance Derived From the Sentinel-2 Multispectral Instrument Observations Using POLYMER Atmospheric Correction
With a five-day revisit frequency over coastal regions and a spatial resolution of 10-60 m, the Sentinel-2 multispectral instrument (MSI) has shown its capacity to provide a reasonably accurate remote sensing reflectance (Rrs) data product over water when the standard “black pixel” (BP) atmospheric correction algorithm was applied to the top-ofatmospheric (TOA) reflectance data. Alternative atmosp...Show More
On the Interplay Between Ocean Color Data Quality and Data Quantity: Impacts of Quality Control Flags
Chuanmin Hu;Brian B. Barnes;Lian Feng;Menghua Wang;Lide Jiang
Nearly all calibration/validation activities for the satellite ocean color missions have focused on data quality to produce data products of the highest quality (i.e., science quality) for climate-related research. Little attention, however, has been paid to data quantity, particularly on how data quality control during data processing impacts downstream data quality and data quantity. In this let...Show More
Classification of Oil Spill Thicknesses Using Multispectral UAS And Satellite Remote Sensing for Oil Spill Response
Oscar Garcia-Pineda;Chuanmin Hu;Shaojie Sun;Diana Garcia;Jay Cho;George Graettinger;Lisa DiPinto;Ellen Ramirez
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
Year: 2019 | Conference Paper |
Cited by: Papers (4)
Unmanned Aerial Systems (UAS) are an operational tool for monitoring and assessment of oil spills. At the same time, satellite imagery has been used almost entirely to detect oil presence/absence, yet its ability to discriminate oil emulsions within a detected oil slick has not been fully exploited. Additionally, one of the challenges in the past has been the ability to deliver strategic informati...Show More
Performance of POLYMER Atmospheric Correction of Ocean Color Imagery in the Presence of Absorbing Aerosols
The atmospheric correction approach currently being used operationally by NASA [termed as NASA standard atmospheric correction (NSAC) approach] to process ocean color data relies on traditional “black pixel” approach, with additional modifications to account for nonnegligible water-leaving radiance in the near-infrared (NIR) bands. The NSAC approach underestimates remote-sensing reflectance (Rrs, ...Show More
The Challenges of Interpreting Oil–Water Spatial and Spectral Contrasts for the Estimation of Oil Thickness: Examples From Satellite and Airborne Measurements of the Deepwater Horizon Oil Spill
Optical remote sensing is one of the most commonly used techniques to detect oil in the surface ocean. This is because oil has optical properties that are different from water to modulate oil-water spatial and spectral contrasts. However, understanding these contrasts is challenging because of variable results from laboratory and field experiments as well as from different observing conditions and...Show More
Linking Weather Patterns, Water Quality And Invasive Mussel Distributions In The Development And Application Of A Water Clarity Index For The Great Lakes
Varis Ransibrahmanakul;Simon J. Pittman;Douglas E. Pirhalla;Scott C. Sheridan;Cameron C. Lee;Brian B. Barnes;Chuanmin Hu;Karsten Shein
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
Year: 2018 | Conference Paper |
Cited by: Papers (4)
The Great Lakes contain 84% of the fresh water in North America and provide many critical and valuable ecosystem services to lakeside communities. In the past decade, a rapid ecosystem regime shift has occurred where changing precipitation and runoff patterns, along with invasive zebra and quagga mussels, have contributed to dramatic lake-specific responses in water clarity, reductions in phytopla...Show More
Linking Weather Patterns, Water Quality And Invasive Mussel Distributions In The Development And Application Of A Water Clarity Index For The Great Lakes
Varis Ransibrahmanakul;Simon J. Pittman;Douglas E. Pirhalla;Scott C. Sheridan;Cameron C. Lee;Brian B. Barnes;Chuanmin Hu;Karsten Shein
Year: 2018 | Conference Paper |
Characterizing a Sea Turtle Developmental Habitat Using Landsat Observations of Surface-Pelagic Drift Communities in the Eastern Gulf of Mexico
Robert F. Hardy;Chuanmin Hu;Blair Witherington;Brian Lapointe;Anne Meylan;Ernst Peebles;Leo Meirose;Shigetomo Hirama
Compared with our understanding of most aspects of sea turtle biology, knowledge of the surface-pelagic juvenile life stages remains limited. Young North Atlantic cheloniids (hard-shelled sea turtles) are closely associated with surface-pelagic drift communities (SPDCs), which are dominated by macroalgae of the genus Sargassum. We quantified SPDCs in the eastern Gulf of Mexico, a region that hosts...Show More
Atmospheric Correction of Hyperspectral GCAS Airborne Measurements Over the North Atlantic Ocean and Louisiana Shelf
Minwei Zhang;Chuanmin Hu;Matthew G. Kowalewski;Scott J. Janz
The Geostationary Coastal and Air Pollution Events Airborne Simulator (GCAS) instrument has been used as a precursor for a hyperspectral instrument on the future geostationary satellite, yet its ability to “measure” ocean reflectance needs to be evaluated. Here, we demonstrate its capacity through vicarious calibration and atmospheric correction of data collected during flight campaigns over the L...Show More
Comparison of Valid Ocean Observations Between MODIS Terra and Aqua Over the Global Oceans
Ocean color satellite missions to measure the biophysical and geochemical properties of the surface ocean need to consider not only the spectral and spatial requirements of the sensors but also the satellite overpass time to maximize valid observations. The valid observations are impacted not only by cloud cover but also by other perturbations such as sun glint and stray light. Using Level-3 globa...Show More
Developing a Smart Semantic Web With Linked Data and Models for Near-Real-Time Monitoring of Red Tides in the Eastern Gulf of Mexico
Chuanmin Hu;Brock Murch;Alina A. Corcoran;Lianyuan Zheng;Brian B. Barnes;Robert H. Weisberg;Karen Atwood;Jason M. Lenes
In recent decades, the technology used to detect and quantify harmful algal blooms (commonly known as red tides) and characterize their physicochemical environment has improved considerably. A remaining challenge is effective delivery of the information generated from these advances in a user-friendly way to a diverse group of stakeholders. Based on existing infrastructure, we establish a Web-base...Show More
VIIRS Observations of a Karenia brevis Bloom in the Northeastern Gulf of Mexico in the Absence of a Fluorescence Band
Lin Qi;Chuanmin Hu;Jennifer Cannizzaro;Alina A. Corcoran;David English;Chengfeng Le
The Visible Infrared Imager Radiometer Suite (VIIRS) is not equipped with a fluorescence band, which may affect its ability to detect and quantify harmful algal blooms (HABs) in coastal waters rich in colored dissolved organic matter. Such a deficiency has previously been demonstrated for a bloom of the toxic dinoflagellate Karenia brevis in the northeastern Gulf of Mexico (NEGOM) in summer 2014. ...Show More
Extracting Oil Slick Features From VIIRS Nighttime Imagery Using a Gaussian Filter and Morphological Constraints
Satellite images of reflected sunlight have been used to detect and monitor oil spills in oceans. However, such a capacity is often hindered by the image noise due to either a low signal-to-noise ratio or other image features such as clouds or cloud shadows. The problem is particularly severe for nighttime images captured by the Visible Infrared Imager Radiometer Suite (VIIRS). This letter propose...Show More
Atmospheric Correction of AISA Measurements Over the Florida Keys Optically Shallow Waters: Challenges in Radiometric Calibration and Aerosol Selection
Minwei Zhang;Chuanmin Hu;David English;Paul Carlson;Frank E. Muller-Karger;Gerardo Toro-Farmer;Stanley R. Herwitz
An Airborne Imaging Spectrometer for Applications (AISA) hyperspectral imager was deployed on a manned aircraft flown at 1305-m altitude to collect data over optically shallow waters in the Florida Keys with the ultimate goal of mapping water quality and benthic habitats. As a first step, we developed a practical atmospheric correction (AC) approach to derive surface remote-sensing reflectance (Rr...Show More
Influence of Particle Composition on Remote Sensing Reflectance and MERIS Maximum Chlorophyll Index Algorithm: Examples From Taihu Lake and Chaohu Lake
Using data collected from two eutrophic lakes located in eastern China (Taihu Lake, 2330 km2 and Chaohu Lake, 760 km2), the influence of variable particle composition on remote sensing reflectance (Rrs, in sr-1) properties and on the Medium Resolution Imaging Spectrometer (MERIS) maximum chlorophyll index (MCI) algorithm for estimating near-surface chlorophyll-a concentrations (Chla, in μg · L-1) ...Show More
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