Wyniki wyszukiwania - Biblioteka Nauki

1

Modeling the buoyancy-driven Black Sea Water outflow into the North Aegean Sea

100%

Kokkos N. , Sylaios G.

Oceanologia

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2016

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tom No. 58 (2)

103--116

EN

A three-dimensional numerical model was applied to simulate the Black Sea Water (BSW) outflux and spreading over the North Aegean Sea, and its impact on circulation and stratification–mixing dynamics. Model results were validated against satellite-derived sea surface temperature and in-situ temperature and salinity profiles. Further, the model results were post-processed in terms of the potential energy anomaly, ϕ, analyzing the factors contributing to its change. It occurs that BSW contributes significantly on the Thracian Sea water column stratification, but its signal reduces in the rest of the North Aegean Sea. The BSW buoyancy flux contributed to the change of ϕ in the Thracian Sea by 1.23 × 10-3 W m-3 in the winter and 7.9 × 10-4 W m-3 in the summer, significantly higher than the corresponding solar heat flux contribution (1.41 × 10-5 W m-3 and 7.4 × 10-5 W m-3, respectively). Quantification of the ϕ-advective term crossing the north-western BSW branch (to the north of Lemnos Island), depicted a strong non-linear relation to the relative vorticity of Samothraki Anticyclone. Similar analysis for the south-western branch illustrated a relationship between the ϕ-advective term sign and the relative vorticity in the Sporades system. The ϕ-mixing term increases its significance under strong winds (> 15 m s-1), tending to destroy surface meso-scale eddies.

2

Netz-Phytoplankton Diversity in the western and southern regions of the South China Sea

100%

Liu H. , Sun J.

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2015

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tom Vol. 44, No. 4

530--538

EN

Based on the survey records on netz-phytoplankton (>76 μm) collected in the South China Sea (SCS) during the cruise from the 21st August to the 18th October, 2012, the species composition, biodiversity and its spatial distribution were studied. The identified 326 phytoplankton species belonged to 75 genera and 4 phyla. Thalassionema nitzschioides was the most dominant species accounting for 33.24% of the total cell abundance, followed by Bacteriastrum furcatum − 8.69%. Whereas the phytoplankton cell abundance (cells l-1) was the highest in the Zhubi Reef (1106.45 ± 2475.38), the southern SCS (396.84 ± 969.87), the western SCS (90.82 ± 144.66) and the northern SCS (66.48 ± 70.89) in order. The distribution of phytoplankton appears to be affected by the Mekong river discharge and particles derived in Sumatra and Kalimantan from biomass burning, nutrient concentrations, the South China Sea Warm Current (SCSWC). The evaluation of biodiversity indices indicated the high level of species richness, evenness and biodiversity in the survey area.

3

Detekcja zmian użytkowania gruntów z wykorzystaniem fotogrametrii i teledetekcji

86%

Doroż A. , Taszakowski J. , Bożek P. , Rymarczyk M.

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tom R. 95, nr 9

21--25

PL

Niniejszy artykuł skupia się na skontrastowaniu dwóch źródeł danych umożliwiających ocenę zmian sposobu użytkowania gruntów. W artykule przedstawiono ideę Informatycznego Systemu Ochrony Kraju (ISOK). W nawiązaniu do wspomnianego projektu, omówiono rodzaj danych jaki jest wykorzystywany do jego realizacji. Mowa tutaj o danych LiDAR, czyli danych w postaci chmur punktów, charakteryzujących się wysoką dokładnością i komfortem pozyskiwania. Kolejnym zasobem, będącym elementem rozważań są satelitarne zdjęcia CIR, które w przeciwieństwie do standardowych kompozycji barwnych RGB niosą znacznie więcej informacji, ponieważ oprócz reprezentacji sytuacyjnej danego obszaru, uwypuklają procesy i zjawiska, których nie można dostrzec na podkładach. Na podstawie tych dwóch odmiennych źródeł danych wykonano analizy pozwalające określać zmiany w sposobie użytkowania gruntów.

EN

The article is devoted to contrasting two data sources that are controlled by land use change. In the article about the idea, the idea of the IT System for Country Protection (ISOK). With reference to the related project, the type of data related to its implementation was discussed. We are talking here about LiDAR data, i.e. data in the form of cloud points, characterized by the occurrence and comfort of acquisition. the resource that is the source are satellite CIR images that are delivered to the RGB color sources, which provide more information, beyond the scope of the situational area, highlight activities and applications that cannot be obtained from the sources. Based on these two sources of control analysis data, changes in land use.

4

Analysis of qualitative and quantitative assessment methods for shoreline extraction

86%

Łącka M. , Łubczonek J.

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tom nr 69 (141)

9--19

EN

The shoreline is an important geographical zone, and knowledge of its accurate location can be crucial for coastal management and mapping. The ever-increasing number of aerial and satellite sensors is leading to research related to the development of new methods for the automatic extraction of the shoreline. Currently, there is a lot of research in this area with different research methodologies. In this paper, an analysis of shoreline extraction methods was carried out. Based on the analysis undertaken, current research processes in this field can be verified. This enabled the further evaluation of the research methodologies studied, including the identification of basic assessment elements for shoreline extraction accuracy. Practical aspects of this work include the ability to establish the correct methods to assess the accuracy of extracted shorelines for both research and production processes related to data extracted from remotely sensed images.

5

A global perspective on the value of multi-level analysis as an enabler for achieving SDGs

72%

Ndugwa R. , Mwaniki D.

European Spatial Research and Policy

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2023

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tom 30

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nr 2

33-44

EN

With more than 50 percent of the global population living in urban areas, Sustainable Development Goal 11 on Sustainable Cities and Communities provides a critical lever for us to realise all other SDG goals. This calls for tracking urban spatial development at various levels to facilitate a better understanding of the role, amongst others, of remote sensing data in the field of sustainable urban development and services of general interest to be provided by authorities. Urbanisation patterns may thus be retraced, but also modelled in order to provide evidence for decision makers. Without proper planning, the spatial impacts of urbanisation and subsequent spatial inequalities are more likely to affect disadvantaged groups most. In the last decade of the SDGs, the use of data to inform policies is very critical, and such evidence needs to be anchored in multi-level analysis and ensure vertical and horizontal applications at all governance levels.

6

Interpretation of remote sensing and aeromagnetic data to depict the structural framework of the transitional zone between the Igarra Schist belt and Anambra Basin, Nigeria

72%

Salawu N. B.

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tom Vol. 71, no. 1

227--246

EN

High-resolution aeromagnetic and Landsat-8 data were utilized for the structural investigation of the Igarra Schist Belt located where the Precambrian crystalline basement is unconformably overlain by the late-Cretaceous Anambra Basin fill. Analysis of the Landsat-8 data exhibits major lineaments that trend in E–W, ENE–WSW, NNW–SSE and N–S directions. Results from the analysis of total field anomaly data using total gradient amplitude and tilt angle of the horizontal gradient also show these same lineament trends. The superimposition of Landsat-8 and aeromagnetic data-derived lineaments resulted in the mapping of the regional lineaments, which provide clues to structurally controlled gold mineralization in the Igarra Schist Belt region. Details mapped from the remote sensing data show surface contacts that correspond to the boundary between the Igarra Schist Belt and Anambra Basin mapped from aeromagnetic data. The source parameter imaging of the aeromagnetic data provides depth estimates of the magnetic basement of the Igarra Schist Belt and Anambra Basin, which varies from 50 to above 650 m. The integration of the remote sensing and aeromagnetic lineaments with the 3-D Euler deconvolution results reveals that the locations of cluster solutions alignment with lineaments are target areas for gold mineralization, which is correlative to gold occurrences in the region.