scholarly journals Statistical Analysis for Tidal Flat Classification and Topography Using Multitemporal SAR Backscattering Coefficients

2021 ◽  
Vol 13 (24) ◽  
pp. 5169
Author(s):  
Keunyong Kim ◽  
Hahnchul Jung ◽  
Jong-Kuk Choi ◽  
Joo-Hyung Ryu
Keyword(s):  
Tidal Flat ◽  
Extraction Method ◽  
Morphological Changes ◽  
Logistic Function ◽  
Tidal Flats ◽  
Airborne Lidar ◽  
Small Scale ◽  
Spatial Coverage ◽  
Natural Break ◽  
Sar Data

Coastal zones are very dynamic natural systems that experience short-term and long-term morphological changes. Their highly dynamic behavior requires frequent monitoring. Tidal flat topography for a large spatial coverage has been generated mainly by the waterline extraction method from multitemporal remote sensing observations. Despite the efficiency and robustness of the waterline extraction method, the waterline-based digital elevation model (DEM) is limited to representing small scale topographic features, such as localized tidal tributaries. Tidal flats show a rapid increase in SAR backscattering coefficients when the tide height is lower than the tidal flat topography compared to when the tidal flat is covered by water. This leads to a tidal flat with a distinct statistical behavior on the temporal variability of our multitemporal SAR backscattering coefficients. Therefore, this study aims to suggest a new method that can overcome the constraints of the waterline-based method by using a pixel-based DEM generation algorithm. Jenks Natural Break (JNB) optimization was applied to distinguish the tidal flat from land and ocean using multitemporal Senitnel-1 SAR data for the years 2014–2020. We also implemented a logistic model to characterize the temporal evolution of the SAR backscattering coefficients along with the tide heights and estimated intertidal topography. The Sentinel-1 DEM from the JNB classification and logistic function was evaluated by an airborne Lidar DEM. Our pixel-based DEM outperformed the waterline-based Landsat DEM. This study demonstrates that our statistical approach to intertidal classification and topography serves to monitor the near real-time spatiotemporal distribution changes of tidal flats through continuous and stable SAR data collection on local and regional scales.

Structural changes in uterine tissues after uterine artery embolization in patients with leiomyoma complicated by uterine bleeding

GYNECOLOGY ◽  
2018 ◽  
Vol 20 (1) ◽  
pp. 78-82
Author(s):  
G P Titova ◽  
M M Damirov ◽  
L S Kokov ◽  
O N Oleynikova ◽  
G E Belozerov
Keyword(s):  
Uterine Artery Embolization ◽  
Uterine Artery ◽  
Structural Changes ◽  
Morphological Changes ◽  
Uterine Bleeding ◽  
Small Scale ◽  
Artery Embolization ◽  
Vessel Occlusion ◽  
Uterine Arteries ◽  
Uterine Tumors

Uterine leiomyoma (UL) is often complicated by the development of uterine bleeding. In urgent gynecology for the implementation of endovascular hemostasis, uterine artery embolization (UAE) is used. Performing UAE allows to stop and/or significantly reduce the intensity of bleeding and prepare a patient for surgical intervention. At the same time, the morphological changes that occur in uterine tissues in operated UL patients after performing the UAE are not studied. The aim was to study the peculiarities of pathomorphological changes in uterine tumors and tissues in operated UL patients complicated by uterine bleeding after performing UAE. Material and methods. The results of morphological changes appearing in tumors and tissues of the uterus in 39 operated UL patients, who were used for stopping uterine bleeding, were analyzed. Results. After applying different types of embolizing agents in macroscopic study of the uterus, signs of ischemia of its tissues were revealed, and the most pronounced disorders were detected in the UL nodes. Morphologically it was established that UAE microemboli resulted in vessel occlusion with increasing thrombosis in their distal sections. UAE was not accompanied by occlusal occlusion of the arteries and resulted in small-scale necrosis of the tumor with complete regeneration of the endometrium. Conclusions. The results of the morphological study showed that after the UAE was performed, the myomatous nodes underwent dystrophic, necrobiotic and necrotic changes. Depending on the nature of occlusion of the uterine arteries, various variants of necrosis (scale and completeness of the process) developed in the tumor tissue, which was aseptic in nature.

SHORT-TERM MORPHOLOGICAL CHANGES AND SEDIMENT DYNAMICS OF TIDAL FLAT DUE TO TYPHOON PASSAGE

2019 ◽  
Vol 75 (2) ◽  
pp. I_499-I_504
Author(s):  
Itsuki KURITANI ◽  
Shigeru KATO ◽  
Takahiro TABATA ◽  
Ryota NAKAMURA ◽  
Takumi OKABE
Keyword(s):  
Tidal Flat ◽  
Morphological Changes ◽  
Sediment Dynamics ◽  
Short Term

scholarly journals Neural Network-Based Urban Change Monitoring with Deep-Temporal Multispectral and SAR Remote Sensing Data

2021 ◽  
Vol 13 (15) ◽  
pp. 3000
Author(s):  
Georg Zitzlsberger ◽  
Michal Podhorányi ◽  
Václav Svatoň ◽  
Milan Lazecký ◽  
Jan Martinovič
Keyword(s):  
Neural Network ◽  
Remote Sensing ◽  
Urban Change ◽  
Small Scale ◽  
Atmospheric Effects ◽  
Wide Field ◽  
Ground Truth Data ◽  
Automated Method ◽  
Urban Monitoring ◽  
Sar Data

Remote-sensing-driven urban change detection has been studied in many ways for decades for a wide field of applications, such as understanding socio-economic impacts, identifying new settlements, or analyzing trends of urban sprawl. Such kinds of analyses are usually carried out manually by selecting high-quality samples that binds them to small-scale scenarios, either temporarily limited or with low spatial or temporal resolution. We propose a fully automated method that uses a large amount of available remote sensing observations for a selected period without the need to manually select samples. This enables continuous urban monitoring in a fully automated process. Furthermore, we combine multispectral optical and synthetic aperture radar (SAR) data from two eras as two mission pairs with synthetic labeling to train a neural network for detecting urban changes and activities. As pairs, we consider European Remote Sensing (ERS-1/2) and Landsat 5 Thematic Mapper (TM) for 1991–2011 and Sentinel 1 and 2 for 2017–2021. For every era, we use three different urban sites—Limassol, Rotterdam, and Liège—with at least 500km2 each, and deep observation time series with hundreds and up to over a thousand of samples. These sites were selected to represent different challenges in training a common neural network due to atmospheric effects, different geographies, and observation coverage. We train one model for each of the two eras using synthetic but noisy labels, which are created automatically by combining state-of-the-art methods, without the availability of existing ground truth data. To combine the benefit of both remote sensing types, the network models are ensembles of optical- and SAR-specialized sub-networks. We study the sensitivity of urban and impervious changes and the contribution of optical and SAR data to the overall solution. Our implementation and trained models are available publicly to enable others to utilize fully automated continuous urban monitoring.

scholarly journals PRE- and POST-STORM LiDAR SURVEYS FOR ASSESSMENT OF IMPACT ON COASTAL EROSION

2019 ◽  
Vol XLII-3/W8 ◽  
pp. 261-266
Author(s):  
A.-L. Montreuil ◽  
M. Chen ◽  
A. Esquerré ◽  
R. Houthuys ◽  
R. Moelans ◽  
...  
Keyword(s):  
Management Practices ◽  
Morphological Changes ◽  
Storm Surges ◽  
High Water ◽  
Water Levels ◽  
Airborne Lidar ◽  
Coastline Change ◽  
The Mean ◽  
The Impact

<p><strong>Abstract.</strong> Sustainable management of the coastal resources requires a better understanding of the processes that drive coastline change. The coastline is a highly dynamic sea-terrestrial interface. It is affected by forcing factors such as water levels, waves, winds, and the highest and most severe changes occur during storm surges. Extreme storms are drivers responsible for rapid and sometimes dramatic changes of the coastline. The consequences of the impacts from these events entail a broad range of social, economic and natural resource considerations from threats to humans, infrastructure and habitats. This study investigates the impact of a severe storm on coastline response on a sandy multi-barred beach at the Belgian coast. Airborne LiDAR surveys acquired pre- and post-storm covering an area larger than 1 km<sup>2</sup> were analyzed and reproducible monitoring solutions adapted to assess beach morphological changes were applied. Results indicated that the coast retreated by a maximum of 14.7 m where the embryo dunes in front of the fixed dunes were vanished and the foredune undercut. Storm surge and wave attacks were probably the most energetic there. However, the response of the coastline proxies associated with the mean high water line (MHW) and dunetoe (DuneT) was spatially variable. Based on the extracted beach features, good correlations (r>0.73) were found between coastline, berm and inner intertidal bar morphology, while it was weak with the most seaward bars covered in the surveys. This highlights the role of the upper features on the beach to protect the coastline from storm erosion by reducing wave energy. The findings are of critical importance in improving our knowledge and forecasting of coastline response to storms, and also in its translation into management practices.</p>

Mapping shallow water bubbling reefs – a method comparison between topobathymetric lidar and multibeam echosounder

2021 ◽  
Author(s):  
Mikkel Skovgaard Andersen ◽  
Lars Øbro Hansen ◽  
Zyad Al-Hamdani ◽  
Signe Schilling Hansen ◽  
Manfred Niederwieser ◽  
...  
Keyword(s):  
Shallow Water ◽  
Habitat Type ◽  
High Energy ◽  
Survey Method ◽  
Sidescan Sonar ◽  
Small Scale ◽  
Lidar Data ◽  
Multibeam Echosounder ◽  
Full Coverage ◽  
Spatial Coverage

&lt;p&gt;Bubbling reefs are submarine structures formed by aggregating carbonate resulting from leaking gases. The reef formations can form pillars rising several meters above the sea floor. They support a high diversity of benthic communities, and in the EU Habitat Directive they are specifically mentioned as a natural habitat type that require conservation.&lt;/p&gt;&lt;p&gt;Knowledge about the presence, locations and shape of bubbling reefs are usually obtained by geophysical surveying using multibeam echosounder (MBES), sidescan sonar and/or seismic acquisition systems, combined with ground truth verification. However, this traditional survey method is time consuming, especially for full coverage surveys in shallow water. Full coverage surveys are a requirement to capture the bubbling reefs due to their relatively small spatial extent. Besides, traditional geophysical vessel borne surveys have their limitations in shallow water due to low spatial coverage and vessel draft.&lt;/p&gt;&lt;p&gt;In recent years, airborne topobathymetric (green wavelength) lidar has emerged as a new possible surveying method in shallow water (e.g. Andersen et al., 2017). Compared to vessel borne MBES, full coverage lidar surveys can be conducted within hours instead of days/weeks, while also including full coverage in the shallow water and a seamless transition between land and water. Thus, topobathymetric lidar may be a good choice for carrying out full coverage surveys in large shallow water areas. However, the accuracy and the resolution of the collected dataset are important in these surveys, not least when mapping small scale features such as bubbling reefs.&lt;/p&gt;&lt;p&gt;In this study, we investigated the potential of mapping bubbling reefs in shallow water (&lt;10 m) using topobathymetric lidar. The main objective was to assess the performance of airborne topobathymetric lidar to detect and resolve small scale objects, i.e. bubbling reefs, by comparison to MBES data. Both MBES and lidar data were acquired in spring 2019 in a designated Natura 2000 area close to Hirsholmene in the northern Kattegat region in Denmark. The comparison of the two datasets included a quantification of the accuracy, and an assessment of the performance for mapping bubbling reefs.&lt;/p&gt;&lt;p&gt;&amp;#160;&lt;/p&gt;&lt;p&gt;Reference:&lt;/p&gt;&lt;p&gt;Andersen M.S., Gergely A., Al-Hamdani Z., Steinbacher F., Larsen L.R., Ernstsen V.B. (2017). Processing and performance of topobathymetric lidar data for geomorphometric and morphological classification in a high-energy tidal environment. Hydrology and Earth System Sciences, 21: 43-63, DOI:&amp;#160;10.5194/hess-21-43-2017.&lt;/p&gt;

What ecological role do soft-substrate tide pools play for fishes? Difference in community structures between estuarine and coastal tidal flats in subtropical Japan

2020 ◽  
Vol 71 (7) ◽  
pp. 737
Author(s):  
Taiga Kunishima ◽  
Katsunori Tachihara
Keyword(s):  
Tidal Flat ◽  
High Tide ◽  
Tidal Flats ◽  
Individual Species ◽  
Nursery Ground ◽  
Ecological Role ◽  
Soft Substrate ◽  
Use Patterns ◽  
Habitat Value ◽  
Ecological Roles

Soft-substrate tide pools are considered important habitats for fishes from an ecological perspective. However, the ecological roles of such pools and use patterns by fish remain unclear, especially regarding differences between estuarine and coastal tidal flats. In this study, quantitative sampling using the quadrat method was performed in the estuarine and coastal tidal flats on Okinawa-jima Island of subtropical Japan during four seasons. Ecological roles of soft-substrate tide pools were classified as follows: (1) permanent habitat for residents; (2) nursery ground for transients; and (3) waiting area until high tide for accidental species. Within these classifications, the ecological role and value of tide pools for transient fishes varied between the tidal flat types. The habitat value of tide pools is higher for residents than for transient species because the habitat is not replaceable for residents because of their specific ability to survive there. By contrast, transient and accidental species use the tide pools as temporary habitats; however, their high diversity affects the variation in community structure on Okinawa-jima Island. Our results suggest that we should consider not only species diversity, but also habitat use patterns of individual species, together with their life history, when evaluating habitat value with regard to conservation and management of each tidal flat.

Drivers of nano- and microplanktonic community structure in a Patagonian tidal flat ecosystem

2019 ◽  
Vol 41 (5) ◽  
pp. 621-639
Author(s):  
Juan F Saad ◽  
Maite A Narvarte ◽  
Mariza A Abrameto ◽  
Viviana A Alder
Keyword(s):  
Tidal Flat ◽  
Tidal Flats ◽  
Size Spectrum ◽  
Spatial Gradient ◽  
Total Biomass ◽  
Total Density ◽  
Phytoplankton Structure ◽  
Tidal Transport ◽  
Sw Atlantic ◽  
Inshore Waters

ABSTRACT Tidal flats are exceptionally dynamic coastal ecosystems. Tides are their main source of energy, whose influence decreases landwards (as land elevation increases), thus shaping physical, chemical and biological gradients. In this study, we assess whether the structure of nano- and microplankton varies along a spatial gradient in San Antonio Bay (SAB, SW Atlantic), a semi-desert coastal ecosystem with a wide tidal flat and a macrotidal regime. We hypothesize that the tidal effect shapes SAB’s both taxonomical groups and size spectrum. The seasonal sampling of 9 sites revealed that diatoms and small flagellates were the most abundant groups, together accounting for over 75% of total density in practically all sites and seasons. High densities of meroplanktonic stages of Ulva lactuca were recorded in spring at the innermost sites, accounting for over 95% of all planktonic cells. Slopes of the size spectrum analysis were in line with highly productive inshore waters (mean, −0.64) and showed that larger phytoplankton was the main contributor to total biomass, despite its decreasing importance toward inner sites. The spatial and seasonal variations found for lower trophic web compartments provide evidence of the importance of tidal transport in ruling phytoplankton structure in tidal flats under strong macrotidal regimes.

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