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Spatio-Temporal Patterns of Coastal Aquaculture Derived from Sentinel-1 Time Series Data and the Full Landsat Archive

Stiller, Dorothee und Ottinger, Marco und Leinenkugel, Patrick (2019) Spatio-Temporal Patterns of Coastal Aquaculture Derived from Sentinel-1 Time Series Data and the Full Landsat Archive. Remote Sensing, 11, Seiten 1-18. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs11141707. ISSN 2072-4292.

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Offizielle URL: https://www.mdpi.com/2072-4292/11/14/1707/pdf

Kurzfassung

Asia is the major contributor to global aquaculture production in quantity, accounting for almost 90%. These practices lead to extensive land-use and land-cover changes in coastal areas, and thus harm valuable and sensitive coastal ecosystems. Remote sensing and GIS technologies contribute to the mapping and monitoring of changes in aquaculture, providing essential information for coastal management applications. This study aims to investigate aquaculture expansion and spatio-temporal dynamics in two Chinese river deltas over three decades: the Yellow River Delta (YRD) and the Pearl River Delta (PRD). Long-term patterns of aquaculture change are extracted based on combining a reference layer on existing aquaculture ponds for 2015 derived from Sentinel-1 data with annual information on water bodies extracted from the long-term Landsat archive. Furthermore, the suitability of the proposed approach to be applied on a global scale is tested based on exploiting the Global Surface Water (GSW) dataset. We found enormous increases in aquaculture area for the investigated target deltas: an 18.6-fold increase for the YRD (1984–2016), and a 4.1-fold increase for the PRD (1990–2016). Furthermore, we detect hotspots of aquaculture expansion based on linear regression analyses for the deltas, indicating that hotspots are located in coastal regions for the YRD and along the Pearl River in the PRD. A comparison with high-resolution Google Earth data demonstrates that the proposed approach can detect spatio-temporal changes of aquaculture at an overall accuracy of 89%. The presented approach has the potential to be applied to larger spatial scales covering a time period of more than three decades. This is crucial to define appropriate management strategies to reduce the environmental impacts of aquaculture expansion, which are expected to increase in the future.

elib-URL des Eintrags:https://elib.dlr.de/128487/
Dokumentart:Zeitschriftenbeitrag
Titel:Spatio-Temporal Patterns of Coastal Aquaculture Derived from Sentinel-1 Time Series Data and the Full Landsat Archive
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Stiller, DorotheeDorothee.Stiller (at) dlr.dehttps://orcid.org/0000-0002-8681-6144NICHT SPEZIFIZIERT
Ottinger, MarcoMarco.Ottinger (at) dlr.dehttps://orcid.org/0000-0002-7336-1283NICHT SPEZIFIZIERT
Leinenkugel, PatrickPatrick.Leinenkugel (at) dlr.dehttps://orcid.org/0000-0001-5571-800XNICHT SPEZIFIZIERT
Datum:18 Juli 2019
Erschienen in:Remote Sensing
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Ja
In SCOPUS:Ja
In ISI Web of Science:Ja
Band:11
DOI:10.3390/rs11141707
Seitenbereich:Seiten 1-18
Verlag:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:2072-4292
Status:veröffentlicht
Stichwörter:aquaculture; food security; Landsat; Sentinel-1; temporal analysis; river delta; coastal region; China; Asia
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Erdbeobachtung
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):R - Fernerkundung u. Geoforschung
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Deutsches Fernerkundungsdatenzentrum > Georisiken und zivile Sicherheit
Deutsches Fernerkundungsdatenzentrum > Dynamik der Landoberfläche
Hinterlegt von: Stiller, Dorothee
Hinterlegt am:05 Aug 2019 10:24
Letzte Änderung:31 Okt 2023 14:08

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