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Cubesats Allow High Spatiotemporal Estimates of Satellite-Derived Bathymetry

Poursanidis, Dimitris and Traganos, Dimosthenis and Chrysoulakis, Nektarios and Reinartz, Peter (2019) Cubesats Allow High Spatiotemporal Estimates of Satellite-Derived Bathymetry. Remote Sensing, 11 (1299), pp. 1-12. Multidisciplinary Digital Publishing Institute (MDPI). DOI: 10.3390/rs11111299 ISSN 2072-4292

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Official URL: https://www.mdpi.com/2072-4292/11/11/1299

Abstract

High spatial and temporal resolution satellite remote sensing estimates are the silver bullet for monitoring of coastal marine areas globally. From 2000, when the first commercial satellite platforms appeared, offering high spatial resolution data, the mapping of coastal habitats and the extraction of bathymetric information have been possible at local scales. Since then, several platforms have offered such data, although not at high temporal resolution, making the selection of suitable images challenging, especially in areas with high cloud coverage. PlanetScope CubeSats appear to cover this gap by providing their relevant imagery. The current study is the first that examines the suitability of them for the calculation of the Satellite-derived Bathymetry. The availability of daily data allows the selection of the most qualitatively suitable images within the desired timeframe. The application of an empirical method of spaceborne bathymetry estimation provides promising results, with depth errors that fit to the requirements of the international Hydrographic Organization at the Category Zone of Confidence for the inclusion of these data in navigation maps. While this is a pilot study in a small area, more studies in areas with diverse water types are required for solid conclusions on the requirements and limitations of such approaches in coastal bathymetry estimations.

Item URL in elib:https://elib.dlr.de/127926/
Document Type:Article
Title:Cubesats Allow High Spatiotemporal Estimates of Satellite-Derived Bathymetry
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Poursanidis, DimitrisFoundation for Research and Technology—Hellas (FORTH), Institute of Applied and Computational Mathematics, Heraklion, GreeceUNSPECIFIED
Traganos, Dimosthenisdimosthenis.traganos (at) dlr.deUNSPECIFIED
Chrysoulakis, NektariosFoundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, GreeceUNSPECIFIED
Reinartz, Peterpeter.reinartz (at) dlr.dehttps://orcid.org/0000-0002-8122-1475
Date:May 2019
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:11
DOI :10.3390/rs11111299
Page Range:pp. 1-12
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:2072-4292
Status:Published
Keywords:satellite-derived bathymetry; hydrography; CubeSats; hypertemporal; zones of confidence; PlanetScope
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Berlin-Adlershof , Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Knickl, Sabine
Deposited On:04 Jul 2019 10:47
Last Modified:20 Nov 2019 07:22

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