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Wyszukujesz frazę "habitat mapping" wg kryterium: Wszystkie pola


Wyświetlanie 1-4 z 4
Tytuł:
A review of acoustic techniques for habitat mapping
Autorzy:
Blondel, P.
Powiązania:
https://bibliotekanauki.pl/articles/331523.pdf
Data publikacji:
2008
Wydawca:
Polskie Towarzystwo Akustyczne
Tematy:
acoustic techniques
habitat mapping
hydroacoustics
Opis:
Habitat mapping has become an increasingly important application of remote sensing. Active and passive acoustic techniques have greatly improved in the last decade, and their use extends into other spheres to show their economic, legal, political and environmental benefits. This paper reviews the current status of acoustic techniques for habitat mapping. Traditional techniques include echosounders, multibeam systems and sidescan sonars. Passive techniques are also presented, along with geoacoustic inversion and acoustic daylight imaging. The developments in new techniques such as non-linear acoustics, synthetic aperture and interferometry are reviewed. Some emerging techniques are showing increasing potential for habitat mapping, and bistatic sonar, parametric SAS and 3-D chirp profiling are briefly reviewed. Leading international programmes are now making use of these techniques, most often in combination, and their results inform the recommendations for future uses and desired technological developments.
Źródło:
Hydroacoustics; 2008, 11; 29-38
1642-1817
Pojawia się w:
Hydroacoustics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Assessing the Shallow Water Habitat Mapping Extracted from High-Resolution Satellite Image with Multi Classification Algorithms
Autorzy:
Nandika, Muhammad Rizki
Ulfa, Azura
Ibrahim, Andi
Purwanto, Anang Dwi
Powiązania:
https://bibliotekanauki.pl/articles/8413878.pdf
Data publikacji:
2023
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
accuracy
coral
seagrass
Maximum Likelihood
Minimum Distance
Support Vector Machine
remote sensing
Opis:
Remote sensing technology is reliable in identifying the distribution of seabed cover yet there are still challenges in retrieving the data collection of shallow water habitats than with other objects on land. Classification algorithms based on remote sensing technology have been developed for application to map benthic habitats, such as Maximum Likelihood, Minimum Distance, and Support Vector Machine. This study focuses on examining those three classification algorithms to retrieve information on the benthic habitat in Pari Island, Jakarta using visual interpretation data for classification, and data field measurements for accuracy testing. This study used five classes of benthic objects, namely sand, sand-seagrass, rubble, seagrass, and coral. The results show how the proposed approach in this study provides an overall good classification of marine habitat with an accuracy produced 63.89–81.95%. The Support Vector Machine algorithm produced the highest accuracy rate of about 81.95%. The Support Vector Machine algorithm at a very high spatial resolution is considered to be capable of identifying, monitoring, and performing the rapid assessment of benthic habitat objects.
Źródło:
Geomatics and Environmental Engineering; 2023, 17, 2; 69--87
1898-1135
Pojawia się w:
Geomatics and Environmental Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Spatial distribution of macroalgae along the shores of Kongsfjorden (West Spitsbergen) using acoustic imaging
Autorzy:
Kruss, Aleksandra
Tęgowski, Jarosław
Tatarek, Agnieszka
Wiktor, Józef
Blondel, Philippe
Powiązania:
https://bibliotekanauki.pl/articles/2046765.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
acoustic imaging
Arctic
habitat mapping
Kongsfjorden
macroalgae
Źródło:
Polish Polar Research; 2017, 38, 2; 205-229
0138-0338
2081-8262
Pojawia się w:
Polish Polar Research
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-4 z 4

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