Logo des Repositoriums
 

On the Realisation of a Workflow for Continuous Earth Observation of Forest Dynamics: A Performance Engineering Challenge

Kurzanzeige
dc.contributor.authorHerbst, Nikolas
dc.contributor.authorJaggy, Niklas
dc.contributor.authorDingel, David
dc.contributor.authorLinke, David
dc.contributor.authorKuenzer, Claudia
dc.contributor.authorKounev, Samuel
dc.contributor.editorHerrmann, Andrea
dc.date.accessioned2025-01-08T13:30:56Z
dc.date.available2025-01-08T13:30:56Z
dc.date.issued2024
dc.description.abstractUp-to-date data on forest dynamics is vital for forest management and understanding their impact on biodiversity and climate change mitigation. In this context, remote sensing has emerged as promising solution, especially for large-scale forest-related scenarios. We are implementing a satellite data processing workflow to continuously feed a mobile application: The goal is to provide timely and targeted information on forest dynamics, local disturbance events, and biodiversity changes for the entire Bavaria region. The engineering, automating and scaling of such a data-intense and distributed processing workflow, from high-volume satellite data time series to mobile applications, poses a variety of performance engineering challenges. We showcase first measurements of individual workflow task: The resource demanding disturbance detection executed in a Python Dask HPC environment contrasted against the resource-bound, optimized DBSCAN clustering of approximately 22 million points into (currently) multiple 100k disturbance events in the mobile application back-end.en
dc.identifier.issn0720-8928
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/45516
dc.language.isoen
dc.pubPlaceBonn
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofSoftwaretechnik-Trends Band 44, Heft 4
dc.relation.ispartofseriesSoftwaretechnik-Trends
dc.subjectforest management
dc.subjectsatellite data
dc.subjectforest dynamics
dc.subjectperformance
dc.titleOn the Realisation of a Workflow for Continuous Earth Observation of Forest Dynamics: A Performance Engineering Challengeen
dc.typeText/Conference Paper
mci.conference.dateNovember 6-7, 2024
mci.conference.locationLinz, Austria
mci.conference.sessiontitle15th Symposium on Software Performance 2024
mci.reference.pages27-29

Dateien

Originalbündel
1 - 1 von 1
Vorschaubild
Name:
SSP24_08_camera-ready_5408.pdf
Größe:
17.05 MB
Format:
Adobe Portable Document Format
Herunterladen

Sammlungen

Softwaretechnik-Trends 44(4) - 2024