Presentation + Paper
14 October 2019 Features of monitoring near the mouth zones by contact and contactless methods
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Abstract
River flow is the main source of dissolved and suspended substances entering to the sea, including products of anthropogenic pollution. Coming from the river to the sea, the continental waters form submesoscale structures adjacent to the estuary, distinguished by low salinity and temperature different from the surrounding, and also, increased turbidity, high content of suspended matter and dissolved organics. Such structures are called "Plumes". Traditionally, we can divided two research methods - contact (in-situ/ship measurements) and non-contact (remote sensing data). But, basically the joint use of in-situ measurements and remote sensing data in existing scientific works - is nominally, each source of information is used separately, and more often direct (in-situ) measurements are preferred, and remote sensing data is used as an auxiliary method for qualitative descriptive works. And there is still no reliable information on the extent to which quantitative estimates can be trusted, obtained from remote sensing data, especially in such difficult estuary areas. In this paper, we present the results of verification satellite data in the optical range with the aim of comparing quantitative data in the river-mouth area obtained by contact (field measurements near river mouth in northeastern part of Black sea) and contactless methods.
Conference Presentation
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
K. Nazirova, O. Lavrova, and E. Krayushkin "Features of monitoring near the mouth zones by contact and contactless methods", Proc. SPIE 11150, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2019, 111500H (14 October 2019); https://doi.org/10.1117/12.2533165
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Remote sensing

Earth observing sensors

Mouth

Satellites

Landsat

Satellite imaging

Chemical analysis

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