Interactive Online Maps Make Satellite Ocean Data Accessible

Mikelsons, Karlis; Wang, Menghua

doi:10.1029/2018eo096563

Cited by 19 publications

(3 citation statements)

References 89 publications

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“…Recent advances in spectral discrimination of floating algae and other floating matters using medium resolution data ,, further add confidence in the inferred debris type. In the end, the approach presented here and the global availability of historical MODIS and MERIS data through NASA and ESA, as well as near real-time VIIRS data through NOAA, warrant revisits of post-event assessments after major disasters, thus helping to understand how coastal oceans respond to natural disasters under a changing climate.…”

Section: Discussionmentioning

confidence: 99%

Floating Debris in the Northern Gulf of Mexico after Hurricane Katrina

Wang

et al. 2023

Environ. Sci. Technol.

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Hurricane Katrina (category 5 with maximum wind of 280 km/h when the eye is in the central Gulf of Mexico) made landfall near New Orleans on August 29, 2005, causing millions of cubic meters of disaster debris, severe flooding, and US$125 billion in damage. Yet, despite numerous reports on its environmental and economic impacts, little is known about how much debris has entered the marine environment. Here, using satellite images (MODIS, MERIS, and Landsat), airborne photographs, and imaging spectroscopy, we show the distribution, possible types, and amount of Katrina-induced debris in the northern Gulf of Mexico. Satellite images collected between August 30 and September 19 show elongated image features around the Mississippi River Delta in a region bounded by 92.5°W–87.5°W and 27.8°N–30.25°N. Image spectroscopy and color appearance of these image features indicate that they are likely dominated by driftwood (including construction lumber) and dead plants (e.g., uprooted marsh) and possibly mixed with plastics and other materials. The image sequence shows that if aggregated together to completely cover the water surface, the maximal debris area reached 21.7 km2 on August 31 to the east of the delta, which drifted to the west following the ocean currents. When measured by area in satellite images, this perhaps represents a historical record of all previously reported floating debris due to natural disasters such as hurricanes, floodings, and tsunamis.

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Section: Discussionmentioning

confidence: 99%

Floating Debris in the Northern Gulf of Mexico after Hurricane Katrina

Wang

et al. 2023

Environ. Sci. Technol.

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“…Two online tools were used to complement each other in their spatial and temporal coverage/resolutions. The first is the OCView tool, developed by the NOAA STAR Ocean Color Research Team (Mikelsons & Wang, 2018), which was utilized to browse the Visible Infrared Imaging Radiometer Suite (VIIRS) images and Sentinel-3 Ocean and Land Colour Instrument (OLCI) images at ∼300 m resolution for cloud free conditions and for possible spawning events. The second tool is the Sentinel Hub EO Browser, which allows a user to browse quick-look images in more details using the Sentinel-2 Multi Spectral Instrument (MSI) data (10-20 m spatial resolution).…”

Section: Data Sourcesmentioning

confidence: 99%

Satellite Remote Sensing of Herring (Clupea pallasii) Spawning Events: A Case Study in the Strait of Georgia

Zhang

Manos

et al. 2021

Geophysical Research Letters

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In this proof‐of‐concept study, we show how satellite remote sensing can be used to detect and monitor Pacific herring spawning events in the Strait of Georgia (SoG), British Columbia, Canada. Multi‐sensor medium‐resolution (∼300 m) and high‐resolution (3–30 m) images reveal bright waters in the SoG due to high concentrations of herring milt from multiple spawning events. The milt‐infused waters lead to enhanced reflectance with unique spectral characteristic that can be distinguished from other optically active constituents such as suspended sediments, coccolithophores, “whiting” particles, and shallow bottoms. While the medium‐resolution images may be used to search for cloud‐free and potential spawning sites, high‐resolution images show more details in milt distributions. Given the increased availability of high‐resolution satellite imagery at the global scale, this demonstration may promote more applications of satellite remote sensing in fisheries and ocean ecology research.

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“…The transitions of these meso-scale ocean features were very smooth both temporally and spatially. To compare with the original VIIRS images without gap-fillings, Chl-a global daily images from SNPP, NOAA-20, or merged SNPP/NOAA-20 can be found in the NOAA Ocean Color Team website (https://www.star.nesdis.noaa.gov/sod/mecb/color/), in particular, using the powerful image display tool, i.e., the Ocean Color Viewer (OCView) [48]. With OCView, the user can zoom in to the GOM region (or any other region) with high spatial resolution (2 km) images, and select SNPP, NOAA-20 or the merged SNPP/NOAA-20 images.…”

Section: Ocean Features Revealed In the Gap-filled Viirs Snpp/noaa-20mentioning

confidence: 99%

Filling the Gaps of Missing Data in the Merged VIIRS SNPP/NOAA-20 Ocean Color Product Using the DINEOF Method

Liu

Wang

2019

Remote Sensing

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The Visible Infrared Imaging Radiometer Suite (VIIRS) on the Suomi National Polar-orbiting Partnership (SNPP) and National Oceanic and Atmospheric Administration (NOAA)-20 has been providing a large amount of global ocean color data, which are critical for monitoring and understanding of ocean optical, biological, and ecological processes and phenomena. However, VIIRS-derived daily ocean color images on either SNPP or NOAA-20 have some limitations in ocean coverage due to its swath width, high sensor-zenith angle, high sun glint, and cloud, etc. Merging VIIRS ocean color products derived from the SNPP and NOAA-20 significantly increases the spatial coverage of daily images. The two VIIRS sensors on the SNPP and NOAA-20 have similar sensor characteristics, and global ocean color products are generated using the same Multi-Sensor Level-1 to Level-2 (MSL12) ocean color data processing system. Therefore, the merged VIIRS ocean color data from the two sensors have high data quality with consistent statistical property and accuracy globally. Merging VIIRS SNPP and NOAA-20 ocean color data almost removes the gaps of missing pixels due to high sensor-zenith angles and high sun glint contamination, and also significantly reduces the gaps due to cloud cover. However, there are still gaps of missing pixels in the merged ocean color data. In this study, the Data Interpolating Empirical Orthogonal Functions (DINEOF) are applied on the merged VIIRS SNPP/NOAA-20 global Level-3 ocean color data to completely reconstruct the missing pixels. Specifically, DINEOF is applied to 30 days of daily merged global Level-3 chlorophyll-a (Chl-a) data of 9-km spatial resolution from 19 June to 18 July 2018. To quantitatively evaluate the accuracy of the DINEOF reconstructed data, a set of valid pixels are intentionally treated as “missing pixels”, so that reconstructed data can be compared with the original data. Results show that mean ratios of the reconstructed/original are 1.012, 1.012, 1.015, and 0.997 for global ocean, oligotrophic waters, deep waters, and coastal and inland waters, respectively. The corresponding standard deviation (SD) of the ratios are 0.200, 0.164, 0.182, and 0.287, respectively. Gap-filled daily Chl-a images reveal many large-scale and meso-scale ocean features that are invisible in the original SNPP or NOAA-20 Chl-a images. It is also demonstrated that the gap-filled data based on the merged products show more details in the dynamic ocean features than those based on SNPP or NOAA-20 alone.

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Interactive Online Maps Make Satellite Ocean Data Accessible

Abstract: A new online resource from the National Oceanic and Atmospheric Administration provides an interactive view of global satellite ocean color and true-color imagery.

Cited by 19 publications

References 89 publications

Floating Debris in the Northern Gulf of Mexico after Hurricane Katrina

Floating Debris in the Northern Gulf of Mexico after Hurricane Katrina

Satellite Remote Sensing of Herring (Clupea pallasii) Spawning Events: A Case Study in the Strait of Georgia

Filling the Gaps of Missing Data in the Merged VIIRS SNPP/NOAA-20 Ocean Color Product Using the DINEOF Method

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