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To Shungu: On the sampling of in-situ data and how impact remote sensing algorithms

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To Shungu: On the sampling of in-situ data and how impact remote sensing algorithms

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Will the sampling limitations of in-situ data impact the validation and development of algorithms to detect plastic with remte sensing?

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Should we focus on characterising the observations needs of extreme events for marine litter?

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Is there any particular way/procedure to submit data for Ocean Scan? what type of metadata is required and what format is needed? Thanks

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Why do you think there's such resistance for investigators to share their datasets? Is this common in other research areas? Does money/funding play a significant role in this?

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Regular observations is very important, followed with item identification.

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Hi, interesting presentation. I have a question about deriving delta R: do you need to find a pixel that you know is only water surface (uncovered by litter)?

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What about extra pieces of information potentially provided by multidirectional (multiview) and polarimetric measurements?

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The spectra witn dry and wet vs pristine and biofouled seem to indicate that water has a much larger impact in the spectra than the biofouling. Is this expected or we should expect more effect from biofouling than measured in this case?

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Have you trialled the detection method in more urban areas? Where, for example, the ground is concrete or more hetergenous than sand or water?

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What were the targets' sizes? On what dates were they deployed? Thank you for the presentation.

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Focus also on land and in rivers before plastic becomes marine litter

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Focus also on land and in rivers before plastic becomes marine litter

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We also need more data on riverine litter and on land (eg point sources, such as dumpsites), to help us reduce the uncertainty in quantifying leakages, calibrate models of how plastic is mobilized, enters and moves in the environment, before reaching the sea

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What's your opinion on synthetic marine litter data made from in-situ verified data?
Thank you for the presentation.

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Dear Caleb,

I watched your presentation regarding dump-site detection, and I was wondering whether it would be possible to apply your algorithm for other areas across the globe (e.g., Brazil, India, etc.); what would take to apply it for those countries?

Also, what are the requirements for applying your algorithm? is the code open and shared at some repository (e.g., GITHUB)?

Sincerely,

Philipe Riskalla Leal
Ph.D. in Remote Sensing (INPE - Brazil)

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Focus also on land and in rivers so that they may be related to healthcare Issues

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Focus also on land and in rivers so that they may be related to healthcare Issues

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Litter has great influence in human-health; healthcare studies usually don't account for water contamination. Therefore, the use of remote sensing litter detection data could be a great opportunity for enhancing our understanding in how, for instance, waterborne diseases are spread in different places and communities.

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What is the balanced accuracy of your algorithm?