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Pregled bibliografske jedinice broj: 1164018

Bathymetry Modelling from Altimeter-Based Gravity and Satellite Multispectral Images in the North Adriatic


Vrdoljak Ljerka; Kilić Pamuković, Jelena
Bathymetry Modelling from Altimeter-Based Gravity and Satellite Multispectral Images in the North Adriatic // FIG e-Working Week 2021 - Smart Surveyors for Land and Water Management - Challenges in a New Reality
Nizozemska, 2021. -, 13 (predavanje, nije recenziran, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 1164018 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Bathymetry Modelling from Altimeter-Based Gravity and Satellite Multispectral Images in the North Adriatic

Autori
Vrdoljak Ljerka ; Kilić Pamuković, Jelena

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
FIG e-Working Week 2021 - Smart Surveyors for Land and Water Management - Challenges in a New Reality / - , 2021

Skup
FIG e-Working Week 2021 Smart Surveyors for Land and Water Management - Challenges in a New Reality

Mjesto i datum
Nizozemska, 21.06.2021. - 25.06.2021

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Nije recenziran

Ključne riječi
Digital Bathymetric Model ; Satellite Altimetry ; Satellite Derived Bathymetry

Sažetak
Topography of the seafloor is an important parameter in almost all maritime related research. Traditional shipboard bathymetry methods are time and money consuming. Bathymetry LiDAR is optimal method for deriving depth of shallow sea areas but also quite expensive. Alternative methods for bathymetric mapping are low cost satellite remote sensing methods. Satellite altimetry opened the possibility to map topography of the seafloor on the global scale. However, these data have a coarse resolution and their quality decay in coastal areas. Satellite Derived Bathymetry SDB refers to methods to estimate the depth from multispectral satellite images and are widely used in shallow coastal sea areas. SDB is limited by the extinction depth up to which it is possible to retrieve bathymetric data. In this paper, digital bathymetry model of the study area in the North Adriatic is estimated combining data from altimeter-based gravity anomalies and satellite multispectral images. Depth is predicted using the Gravity Geologic Method and density contrast between seafloor and seawater is determined by control points composed of soundings from nautical chart. Bathymetry of shallow, coastal areas is enhanced by depth data derived from multispectral images using Satellite Derived Bathymetry methods. Model is validated against data from nautical charts. As compared to traditional survey methods, the model is time and cost-effective and has a high correlation with charted soundings.

Izvorni jezik
Engleski

Znanstvena područja
Geodezija



POVEZANOST RADA


Ustanove:
Fakultet građevinarstva, arhitekture i geodezije, Split,
Hrvatski hidrografski institut

Profili:

Avatar Url Ljerka Vrdoljak (autor)

Avatar Url Jelena Kilić (autor)

Poveznice na cjeloviti tekst rada:

fig.net

Citiraj ovu publikaciju:

Vrdoljak Ljerka; Kilić Pamuković, Jelena
Bathymetry Modelling from Altimeter-Based Gravity and Satellite Multispectral Images in the North Adriatic // FIG e-Working Week 2021 - Smart Surveyors for Land and Water Management - Challenges in a New Reality
Nizozemska, 2021. -, 13 (predavanje, nije recenziran, cjeloviti rad (in extenso), znanstveni)
Vrdoljak Ljerka & Kilić Pamuković, J. (2021) Bathymetry Modelling from Altimeter-Based Gravity and Satellite Multispectral Images in the North Adriatic. U: FIG e-Working Week 2021 - Smart Surveyors for Land and Water Management - Challenges in a New Reality.
@article{article, author = {Kili\'{c} Pamukovi\'{c}, Jelena}, year = {2021}, pages = {13}, chapter = {-}, keywords = {Digital Bathymetric Model, Satellite Altimetry, Satellite Derived Bathymetry}, title = {Bathymetry Modelling from Altimeter-Based Gravity and Satellite Multispectral Images in the North Adriatic}, keyword = {Digital Bathymetric Model, Satellite Altimetry, Satellite Derived Bathymetry}, publisherplace = {Nizozemska}, chapternumber = {-} }
@article{article, author = {Kili\'{c} Pamukovi\'{c}, Jelena}, year = {2021}, pages = {13}, chapter = {-}, keywords = {Digital Bathymetric Model, Satellite Altimetry, Satellite Derived Bathymetry}, title = {Bathymetry Modelling from Altimeter-Based Gravity and Satellite Multispectral Images in the North Adriatic}, keyword = {Digital Bathymetric Model, Satellite Altimetry, Satellite Derived Bathymetry}, publisherplace = {Nizozemska}, chapternumber = {-} }




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