FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4322001487> ?p ?o ?g. }

• W4322001487 abstract "The Arctic coast is facing rapid, irreversible changes mainly caused by Climate Warming, e.g., melting sea ice, permafrost thaw, glacial retreat, land uplift and sea level rise. These processes are leading to fundamental changes in the ecosystem structure and functioning, negatively impacting biological and human communities. Under this complex setting, more knowledge is needed to identify the hotspots of shoreline displacement at an Arctic scale. Thus, the goal of this study was to develop and describe a procedure for mapping long-term shoreline displacement in the Arctic that can provide local communities and environmental managers better opportunities to adapt to further coastal changes. Therefore, the procedure will need to be transferrable to diverse environments and able to handle pan-Arctic analyses at a 30-meter spatial resolution. In this study, the procedure was developed using two test areas: Tanafjorden in the low Arctic mainland Norway and Kongsfjorden in the high Arctic Svalbard. The presentation introduces the final procedure and validation results, and discusses its applicability to pan-Arctic shoreline displacement analyses.The procedure was calibrated in the surroundings of Tanafjorden. It was built on a 40-year time-series of open Landsat and Sentinel multispectral satellite images, taken during the Arctic summer. Supervised random forest classification was used to identify land and water pixels, utilizing information from multiple infrared bands and spectral indices. Mountain shadow pixels were treated as their own class and then merged to the land class. Open spatial data were used for limiting the area-of-interest and for automated creation of training data. In total over 700 individual images were first classified separately to account for local environmental conditions and transient illumination conditions. Images were then summarized over 5-year time-steps. The classification results were examined against an independent validation dataset of 2000 land cover observations and manually digitized shoreline, and the supervised classification results were compared to single-band classifications based on Otsu&#8217;s thresholding. The final procedure was then validated in the Kongsfjorden environment. The process was built on Google Earth Engine&#8217;s image collections and cloud computing infrastructure to minimize computing times.The results indicate that it is possible to transform open satellite imagery into 40-year pan-Arctic shoreline displacement information, with a 30-meter resolution and an overall accuracy of more than 95&#160;%. Data fusion is needed in most processing steps: to limit the area-of-interest, save computing power and reduce errors, provide information that complements multispectral satellite data and reduce the impact of short-term atmospheric and water-level effects. Summarizing dozens of images efficiently removes data gaps and the impact of noise, but this efficiency is sensitive to the number of summarized images. The single-image classification approach is flexible and seems to make the procedure transferable to different locations. Cloud image collections are needed to remove the bottleneck of reading and writing satellite data, and potentially allows the promising procedure to be applied at a pan-Arctic scale in the future." @default.
• W4322001487 created "2023-02-26" @default.
• W4322001487 creator A5013438373 @default.
• W4322001487 creator A5055763543 @default.
• W4322001487 creator A5057664080 @default.
• W4322001487 date "2023-05-15" @default.
• W4322001487 modified "2023-09-29" @default.
• W4322001487 title "Procedure for examining long-term Arctic shoreline displacement from multispectral satellite data" @default.
• W4322001487 doi "https://doi.org/10.5194/egusphere-egu23-11651" @default.
• W4322001487 hasPublicationYear "2023" @default.
• W4322001487 type Work @default.
• W4322001487 citedByCount "0" @default.
• W4322001487 crossrefType "posted-content" @default.
• W4322001487 hasAuthorship W4322001487A5013438373 @default.
• W4322001487 hasAuthorship W4322001487A5055763543 @default.
• W4322001487 hasAuthorship W4322001487A5057664080 @default.
• W4322001487 hasConcept C100970517 @default.
• W4322001487 hasConcept C111368507 @default.
• W4322001487 hasConcept C127313418 @default.
• W4322001487 hasConcept C132651083 @default.
• W4322001487 hasConcept C136894858 @default.
• W4322001487 hasConcept C15098985 @default.
• W4322001487 hasConcept C152382732 @default.
• W4322001487 hasConcept C173163844 @default.
• W4322001487 hasConcept C205649164 @default.
• W4322001487 hasConcept C39432304 @default.
• W4322001487 hasConcept C49204034 @default.
• W4322001487 hasConcept C518008717 @default.
• W4322001487 hasConcept C62649853 @default.
• W4322001487 hasConceptScore W4322001487C100970517 @default.
• W4322001487 hasConceptScore W4322001487C111368507 @default.
• W4322001487 hasConceptScore W4322001487C127313418 @default.
• W4322001487 hasConceptScore W4322001487C132651083 @default.
• W4322001487 hasConceptScore W4322001487C136894858 @default.
• W4322001487 hasConceptScore W4322001487C15098985 @default.
• W4322001487 hasConceptScore W4322001487C152382732 @default.
• W4322001487 hasConceptScore W4322001487C173163844 @default.
• W4322001487 hasConceptScore W4322001487C205649164 @default.
• W4322001487 hasConceptScore W4322001487C39432304 @default.
• W4322001487 hasConceptScore W4322001487C49204034 @default.
• W4322001487 hasConceptScore W4322001487C518008717 @default.
• W4322001487 hasConceptScore W4322001487C62649853 @default.
• W4322001487 hasLocation W43220014871 @default.
• W4322001487 hasOpenAccess W4322001487 @default.
• W4322001487 hasPrimaryLocation W43220014871 @default.
• W4322001487 hasRelatedWork W1981515911 @default.
• W4322001487 hasRelatedWork W2014390978 @default.
• W4322001487 hasRelatedWork W2222002524 @default.
• W4322001487 hasRelatedWork W2551863608 @default.
• W4322001487 hasRelatedWork W2593134852 @default.
• W4322001487 hasRelatedWork W2891570132 @default.
• W4322001487 hasRelatedWork W3167934026 @default.
• W4322001487 hasRelatedWork W4221033930 @default.
• W4322001487 hasRelatedWork W4312869161 @default.
• W4322001487 hasRelatedWork W4313406232 @default.
• W4322001487 isParatext "false" @default.
• W4322001487 isRetracted "false" @default.
• W4322001487 workType "article" @default.