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DOI | 10.1016/j.rse.2019.111609 |
Inorganic suspended matter as an indicator of terrestrial influence in Baltic Sea coastal areas — Algorithm development and validation, and ecological relevance | |
Kratzer S.; Kyryliuk D.; Brockmann C. | |
发表日期 | 2020 |
ISSN | 00344257 |
卷号 | 237 |
英文摘要 | Suspended particulate matter (SPM) consists both of an organic (OSPM) and an inorganic fraction (ISPM) and the latter can be used as an indicator for coastal influence in the Baltic Sea. The concentration of SPM can be derived from particle scatter if the specific scattering properties of the respective water body are known. In this paper we show that likewise, ISPM can be derived reliably from remotely sensed particle scatter. An empirical algorithm between particle scatter (AC9 data) and ISPM concentration (measured gravimetrically) was derived from in-water measurements. This regional algorithm was then applied to the iop_bpart level 2 product (i.e. the particle scatter measured at 443 nm) derived from OLCI data on Sentinel-A (S3A) using the C2RCC neural network and validated against an independent data set. The standard error of the derived OLCI match-up data was 10%, and was thus within the goal of the mission requirements of Sentinel-3. The generated S3 composite images from spring and autumn 2018 show that in the Baltic Sea most of the ISPM falls out rather close to the shore, whereas only a very small proportion of ISPM is carried further off-shore. This is also supported by in situ ISPM transects measured in the coastal zone. The ISPM images clearly highlight the areas that are most strongly influenced by terrestrial matter. Differences between the NE Baltic and the SE Baltic proper can be explained by the difference in hydrology and coastal influence as well as bathymetry and wind-wave stirring. The method is of interest for coastal zone management and for assessing the effect of seasonal changes in terrestrial run-off and wind-driven resuspension of sediments. It can also be used to evaluate the effect of climate change which has led to an increase of extreme storm and flooding events that are usually accompanied by increased erosion and run-off from land. Last but not least, turbidity caused by particles influences the light conditions in inner coastal areas and bays, which has a profound effect on pelagic productivity, the maximum growth of macroalgae as well as fish behaviour. © 2019 The Authors |
英文关键词 | Algorithm development; Baltic Sea; C2RCC neural net; Inorganic suspended matter; Light limitation; Particle scatter; Remote sensing reflectance; Sentinel-3 Ocean and Land Colour Instrument (OLCI); SNAP; White scatterers |
语种 | 英语 |
scopus关键词 | Climate change; Regional planning; Remote sensing; Storms; Algorithm development; Baltic sea; Light limitations; Remote-sensing reflectance; Sentinel-3 Ocean and Land Colour Instrument (OLCI); SNAP; Suspended matters; White scatterers; Coastal zones; algorithm; artificial neural network; bathymetry; coastal zone management; color; remote sensing; satellite altimetry; Sentinel; storm surge; suspended load; suspended particulate matter; turbidity; wind-wave interaction; Atlantic Ocean; Baltic Sea |
来源期刊 | Remote Sensing of Environment
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/179504 |
作者单位 | Department of Ecology, Environment and Plant Sciences, Stockholm University, Stockholm, 10691, Sweden; Brockmann Consult GmbH, Chrysanderstr. 1, Hamburg, 21029, Germany |
推荐引用方式 GB/T 7714 | Kratzer S.,Kyryliuk D.,Brockmann C.. Inorganic suspended matter as an indicator of terrestrial influence in Baltic Sea coastal areas — Algorithm development and validation, and ecological relevance[J],2020,237. |
APA | Kratzer S.,Kyryliuk D.,&Brockmann C..(2020).Inorganic suspended matter as an indicator of terrestrial influence in Baltic Sea coastal areas — Algorithm development and validation, and ecological relevance.Remote Sensing of Environment,237. |
MLA | Kratzer S.,et al."Inorganic suspended matter as an indicator of terrestrial influence in Baltic Sea coastal areas — Algorithm development and validation, and ecological relevance".Remote Sensing of Environment 237(2020). |
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