Considerations for transferring an operational dynamic ocean management tool between ocean color products

Welch, Heather; Brodie, Stephanie; Jacox, Michael G.; Robinson, David L.; Wilson, Cara; Bograd, Steven J.; Oliver, Matthew J.; Hazen, Elliott L.

doi:10.1016/j.rse.2020.111753

Cited by 7 publications

(7 citation statements)

References 34 publications

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“…Validations of Case 1 waters generally have better statistics than those derived in Case 2 waters (Table 2). Many studies have not performed regional validations prior to utilizing data products in their research [7,8,12,[57][58][59], and of other studies that have performed validations, the statistics obtained are generally inferior to the validation statistics derived here (Table 2). Compared to regional studies that utilize different satellites and implement different methodologies, the statistics obtained here are comparable to, and in some cases outperform, the statistics obtained in other local studies.…”

Section: Statistical Metrics and Global Or Regional Validationcontrasting

confidence: 56%

“…This study provides an evaluation of the interpolated Chl-a product from GlobColour (Chla-GCint), and compares the statistical validation to merged multi-sensor Chl-a products from OC-CCI (Chla-OC) and GlobColour CHL1 (Chla-GC) in the coastal and open ocean waters off southern B.C. This is an important step prior to using this product for monitoring applications such as phytoplankton phenology and bioregionalization studies, since regional optical complexity makes the application of ocean colour remote sensing challenging and can introduce accuracy biases [7,[16][17][18]22].…”

Section: Discussionmentioning

confidence: 99%

“…GlobColour products correspond to continuous 23-year time series (1997-present) created by merging data from the following sensors: SeaWiFS (1997-2010), MERIS (2002-2012), MODIS-Aqua (2002-present), VIIRS-NPP (2012-present), OLCI-S3A (2016-present), VIIRS-SNPP (2017-present), and OLCI-S3B (2019-present). GlobColour provides merged products using three merging techniques: (i) a simple averaging method (AV) of Level 2 Chl-a estimates, (ii) weighted averaging (AVW) of Level 2 Chl-a estimates adjusted to MERIS using the OC4Me algorithm, and (iii) using the Garver-Siegel-Maritorena (GSM) model to merge Level 3 normalized water-leaving radiances across sensors prior to producing Chl-a retrievals [6,7]. The algorithms used to determine chlorophyll concentration also vary.…”

Section: Globcolour Daily Chl-a Productmentioning

confidence: 99%

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Merged Multi-Sensor Ocean Colour Chlorophyll Product Evaluation for the British Columbia Coast

et al. 2023

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Phytoplankton phenology studies require a dataset that is continuous in time and space since missing data have been shown to affect the accuracy of seasonality metrics. The interpolated GlobColour product provided by the Copernicus Marine Environment Monitoring Service (CMEMS) meets these requirements by being ‘gap filled’, thus yielding the highest spatial coverage. Despite being validated on a global scale, a regional comparison to in situ Chl-a concentrations should be conducted to enable product application in optically complex waters. This study aims to evaluate the performance of the GlobColour interpolated product in British Columbia coastal waters via a statistical match-up analysis and a qualitative analysis to determine whether the data reflect the region’s large-scale seasonal trends and latitudinal dynamics. Additionally, the statistical performance of the GlobColour interpolated product was compared to the original GlobColour and Ocean Colour Climate Change Initiative (OC-CCI) merged chlorophyll-a products based on in situ observations. The GlobColour interpolated product performed relatively well and was comparable to the best-performing product for each water type (RMSE = 0.28, r2 = 0.77, MdAD = 1.5, BIAS = 0.90). The statistics for all the products degraded in Case 2 waters, thus highlighting the dilemma of applying algorithms designed for Case 1 waters in Case 2 waters. Our results indicate how the quality of products can vary in different environmental conditions.

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Section: Statistical Metrics and Global Or Regional Validationcontrasting

confidence: 56%

Section: Discussionmentioning

confidence: 99%

Section: Globcolour Daily Chl-a Productmentioning

confidence: 99%

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Merged Multi-Sensor Ocean Colour Chlorophyll Product Evaluation for the British Columbia Coast

et al. 2023

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“…However, it is important to test the transferability of SDMs from MODIS to VIIRS, as significant downstream impacts to operational research tools have been demonstrated (Welch et al. 2020 ).…”

Section: Methodsmentioning

confidence: 99%

“…Therefore, SDMs built on satellite products developed using MODIS-Aqua have the potential for sustained future use by managers, stakeholders and practitioners. However, it is important to test the transferability of SDMs from MODIS to VIIRS, as significant downstream impacts to operational research tools have been demonstrated (Welch et al 2020).…”

Section: Satellite Observationsmentioning

confidence: 99%

A satellite‐based mobile warning system to reduce interactions with an endangered species

Breece

Oliver

Fox

et al. 2021

Ecological Applications

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Earth observing satellites are a major research tool for spatially explicit ecosystem nowcasting and forecasting. However, there are practical challenges when integrating satellite data into usable realtime products for stakeholders. The need of forecast immediacy and accuracy means that forecast systems must account for missing data and data latency while delivering a timely, accurate and actionable product to stakeholders. This is especially true for species that have legal protection.Acipenser oxyrinchus oxyrinchus (Atlantic Sturgeon) were listed under the United States Endangered Species Act in 2012, which triggered immediate management action to foster population recovery and increase conservation measures. Building upon an existing research occurrence model, we developed an Atlantic Sturgeon forecast system in the Delaware Bay, U.S.A. To overcome missing satellite data due to clouds and produce a three-day forecast of ocean conditions, we implemented Data Interpolating Empirical Orthogonal Functions (DINEOF) on daily observed satellite data. We applied the Atlantic Sturgeon research model to the DINEOF output and found that it correctly predicted Atlantic Sturgeon telemetry occurrences over 90% of the time within a three-day forecast. A similar framework has been utilized to forecast harmful algal blooms, but to our knowledge, this is the first time a species distribution model has been applied to DINEOF gap-filled data to produce a forecast product for fishes. To implement this product into an applied management setting, we worked with state and federal organizations to develop real-time and forecasted risk maps in the Delaware River Estuary for both state level managers and commercial fishers. An automated system creates and distributes these risk maps to subscribers' mobile devices, highlighting areas that should be avoided to reduce interactions. Additionally, an interactive web interface allows users to plot historic, current, future, and climatological risk maps as well as the underlying model output of Atlantic Sturgeon occurrence. The mobile system and web tool provide both stakeholders and managers real-time access to estimated occurrences of Atlantic Sturgeon, enabling conservation planning and informing fisher behavior to reduce interactions with this endangered species while minimizing impacts to fisheries and other projects.

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Influence of environmental data of different sources on marine species habitat modeling: A case study for Ommastrephes bartramii in the Northwest Pacific Ocean

2022

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Considerations for transferring an operational dynamic ocean management tool between ocean color products

Cited by 7 publications

References 34 publications

Merged Multi-Sensor Ocean Colour Chlorophyll Product Evaluation for the British Columbia Coast

Merged Multi-Sensor Ocean Colour Chlorophyll Product Evaluation for the British Columbia Coast

A satellite‐based mobile warning system to reduce interactions with an endangered species

Influence of environmental data of different sources on marine species habitat modeling: A case study for Ommastrephes bartramii in the Northwest Pacific Ocean

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