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ICESat-2 for Coastal MSS Determination—Evaluation in the Norwegian Coastal Zone

• Authors : Tomić, Matea; Baltazar Andersen, Ole

Subjects: Coastal sea level; ICESat-2; Laser altimetry

• Source: Tomić , M & Baltazar Andersen , O 2023 , ' ICESat-2 for Coastal MSS Determination—Evaluation in the Norwegian Coastal

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Unoccupied aerial vehicle-assisted monitoring of benthic vegetation in the coastal zone enhances the quality of ecological data

• Authors : Svane, Niels; Lange, Troels; Egemose, Sara

Subjects: UAV; Remote sensing; Marine biology

• Source: Svane , N , Lange , T , Egemose , S , Dalby , O , Thomasberger , A & Flindt , M R 2022 , ' Unoccupied aerial vehicle-assisted monitoring of benthic vegetation in the

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A multidisciplinary UAV- And ground-geophysical mapping of complex mineralisations in an inter-tidal coastal Zone, Brittany (France)

• Authors : Døssing, A.; Martelet, G.; Rasmussen, T. Mac K.

• Source: Døssing , A , Martelet , G , Rasmussen , T M K , Gloaguen , E , Lima Simões da Silva , E & Linde , J 2020 , A multidisciplinary UAV- And ground-geophysical mapping of complex mineralisations in an

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Improved oceanographic measurements with cryosat sar altimetry: Application to the coastal zone and arctic

• Authors : Cotton, P. D.; Garcia, P. N.; Cancet, M.

• Source: Cotton , P D , Garcia , P N , Cancet , M , Stenseng , L , Andersen , O B , Martin , F , Cipollini , P , Calafat , F M , Dinardo , S , Ambrózio , A & Benveniste , J 2016 , ' Improved oceanographic

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Using SST for imporved mesoscale modelling of the coastal zone

• Authors : Karagali, Ioanna; Floors, Rogier Ralph; Hahmann, Andrea N.

Subjects: /dk/atira/pure/sustainabledevelopmentgoals/life_on_land; SDG 15 - Life on Land

• Source: Karagali , I , Floors , R R , Hahmann , A N & Peña , A 2016 , ' Using SST for imporved mesoscale modelling of the coastal zone ' , Paper

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Conflicts in the coastal zone: human impacts on commercially important fish species utilizing coastal habitat

• Authors : Brown, Elliot John; Vasconcelos, Rita P.; Wennhage, Håkan

Subjects: /dk/atira/pure/sustainabledevelopmentgoals/life_below_water; name=SDG 14 - Life Below Water

• Source: Brown , E J , Vasconcelos , R P , Wennhage , H , Bergström , U , Støttrup , J G , van de Wolfshaar , K , Millisenda , G , Colloca , F & Le Pape , O 2018 , ' Conflicts in the

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Towards sustainable coexistence of aquaculture and fisheries in the coastal zone

• Authors : Bergh, Øjvind; Gomez, Emma Bello; Børsheim, Knut Yngve

Subjects: /dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being; SDG 3 - Good Health and Well-being; /dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy

• Source: Bergh , Ø , Gomez , E B , Børsheim , K Y , Bolman , B , Bricker , S , Burnell , G , Caetano , M , van Duijn , A , Fabi , G , Ferreira , J G , Gault , J , Grati , F , Grönroos , J , Guayder , O ,

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Guidance on a better integration of aquaculture, fisheries, and other activities in the coastal zone: from tools to practical examples

• Authors : Stelzenmüller, V.; Schulze, T.; Gimpel, A.

Subjects: /dk/atira/pure/sustainabledevelopmentgoals/life_below_water; SDG 14 - Life Below Water

• Source: Stelzenmüller , V , Schulze , T , Gimpel , A , Bartelings , H , Bello , E , Bergh , Ø , Bolman , B , Caetano , M , Davaasuren , N , Fabi , G , Ferreira , J G , Gault , J , Gramolini , R , Grati , F

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Assessement of ecosystem goods and services provided by the coastal zone system Limfjord

• Authors : Wiethüchter, Anita

• Source: Wiethüchter , A 2008 , Assessement of ecosystem goods and services provided by the coastal zone system Limfjord . DTU Aqua-rapport , no.

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Comparative Assessment of Five Machine Learning Algorithms for Supervised Object-Based Classification of Submerged Seagrass Beds Using High-Resolution UAS Imagery

• Authors : Thomasberger, Aris; Nielsen, Mette Møller; Flindt, Mogens Rene

Subjects: Object-based image analysis; OBIA; Unoccupied aerial systems

• Source: Thomasberger , A , Nielsen , M M , Flindt , M R , Pawar , S & Svane , N 2023 , ' Comparative Assessment of Five Machine Learning Algorithms for Supervised Object-Based Classification of Submerged

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