The Caspian Sea Encyclopedia

Zonn, Igor S.; Kostianoy, Andrey G.; Kosarev, Aleksey N.; Glantz, Michael H.

doi:10.1007/978-3-642-11524-0

Cited by 48 publications

(24 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Conopeum seurati is an invasive species from the Mediterranean Sea that penetrated in the 1950s from the Black Sea and Sea of Azov (Aladin et al 2002, Grigorovich et al 2003, Zonn et al 2010, whereas Conopeum grimmi can be considered as an indigenous species.…”

Section: Discussionmentioning

confidence: 99%

Bryozoa of the southern Caspian Sea, Iranian coast

Kasaei¹,

Nasrolahi²,

Behrouz³

et al. 2017

CheckList

View full text Add to dashboard Cite

show abstract

Section: Discussionmentioning

confidence: 99%

Bryozoa of the southern Caspian Sea, Iranian coast

Kasaei¹,

Nasrolahi²,

Behrouz³

et al. 2017

CheckList

View full text Add to dashboard Cite

show abstract

“…It is bigger than the Great American lakes and Lake Victoria in Africa by surface area. Ecosystems in the Caspian Sea region have been heavily modified by anthropogenic activities, mainly as a result of changes in the water flow and degradation of the water quality in the ecosystems (Zonn et al, 2010). Changes in the regional environment have influenced regional economies, particularly obvious in the impacts on fish stocks.…”

Section: Caspian Seamentioning

confidence: 99%

“…Changes in the regional environment have influenced regional economies, particularly obvious in the impacts on fish stocks. Some reports focus on the root causes for the most important drivers of environmental change in the region: habitat and community modification (Zonn et al, 2010).…”

Section: Caspian Seamentioning

confidence: 99%

Investigation of Optical Flow Techniques for Extracting Non-Rigid Sea Surface Currents

Ghalenoei

Sharifi

Hasanlou

2014

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

ABSTRACT:This paper is about performance evaluation of two optical flow (OF) methods for extracting sea surface curved motions like eddies. By incorporating a simple matrix and its rotation in programming procedure, curved motion can be obtained. These two OF methods are Horn/Schunk and Lucas/Kanade. The Horn/Schunk method depends on a smoothness parameter (α) and when it changes, smoothness and reality change too. The Lucas/Kanade method is more complex than previous one. It depends on two parameters, smoothness parameter (Sigma) and window size (Win). Different values for Win and Sigma change smoothness and reality of the flows. Sea surface currents are extracted from two sequential sea surface temperature (SST) images by using OF methods. By using these methods and selecting the appropriate parameters like smoothness (for Horn/Schunk) and window size and smoothness (for Lucas/Kanade) extracting real flows or smooth flows are possible and investigated in this paper.

show abstract

“…The third: sea surface wind (SSW). This factor is principal reason of the SSCs creation particularly in shallow water (Zonn et al, 2010), (Dawe and Thompson, 2006). Each of these three data sets, finally, produces particular vectors that include direction, magnitude and geographical coordinates.…”

Section: Introductionmentioning

confidence: 99%

“…The main goal of this study is calculation of the fused surface currents (FSCs) by combining these three data sets. For example, in low depth regions, the SSW is chief factor for creation of SSCs (Zonn et al, 2010) and GCs may not have enough accuracy in low depth regions (Mathilde Cancet et al, 2009) and on the other side cloud covering over the sea, does not allow the MODIS sensor to measure the SST (Brian B. Barnes, 2013).…”

Section: Introductionmentioning

confidence: 99%

Estimating and Fusing Optical Flow, Geostrophic Currents and Sea Surface Wind in the Waters Around Kish Island

Ghalenoei

Sharifi

Hasanlou

2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

ABSTRACT:The aim of this study is calculation of sea surface currents (SSCs) which are estimated from satellite data sets and processed with the variance component estimation (VCE) algorithm to check role of each data set, in fused surface currents (FSCs). The satellite data used in this study are sea surface temperature (SST), satellite altimetry data and sea surface wind (SSW) that plays the important role to make the SSCs and is measured by Ascat satellite. We use optical flow (OF) method (Horn-Schunck algorithm) to extract sea surface movements from sequential SST imageries; in addition, geostrophic currents (GCs) are estimated by satellite altimetry data like sea surface height (SSH). Combining these data sets, has its pros and cons, the OF results are so dense and precise due to high spatial resolution of MODIS data (SST), but sometimes cloud covering over the sea, does not allow the MODIS sensor to measure the SST. In contrast the SST data, the altimetry data have poor spatial resolution and the GCs are not able to determine small scale SSCs. The VCE algorithm shows variances of our data sets and it can be shown their correlations with themselves and with the FSCs. We also calculate angular differences between FSCs and OF, GCs and SSW, and plot distributions of these angular differences. We discover that, the OF and SSW are homolographic, but OF and GCs are accordant to each other.

show abstract

The Caspian Sea Encyclopedia

Cited by 48 publications

References 0 publications

Bryozoa of the southern Caspian Sea, Iranian coast

Bryozoa of the southern Caspian Sea, Iranian coast

Investigation of Optical Flow Techniques for Extracting Non-Rigid Sea Surface Currents

Estimating and Fusing Optical Flow, Geostrophic Currents and Sea Surface Wind in the Waters Around Kish Island

Contact Info

Product

Resources

About