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Connected Component Segmentation for the extraction of Aquaculture ponds along India Coast using time series Sentinel-1 SAR data

Kumar, Arun Prasad und Ottinger, Marco und Clauss, Kersten und Leinenkugel, Patrick und Künzer, Claudia (2018) Connected Component Segmentation for the extraction of Aquaculture ponds along India Coast using time series Sentinel-1 SAR data. EGU General Assembly 2018, 8. –13. April 2018, Wien, Österreich.

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Kurzfassung

Aquaculture is one of the fast growing primary production sectors in India which experienced an exponential growth in production from 0.75 million tons in 1950 to 9.6 million tons in 2014. India has got a vast long coastline of 7,517 km and currently the second largest country in fisheries production. As per the UN FAO Report on National Aquaculture Sector Overview in India (2014), small scale farmers along nine coastal provinces alone contribute 90 percent of the total shrimp production mostly in small dedicated ponds along the coastal wetlands. This development has led to the large scale conversion of coastal wetlands such as mangroves, swamps, lagoons and coastal lakes. In this research, we tried to extract aquaculture ponds using time series high-resolution Sentinel-1 SAR data for the time period of September 2014 to June 2017. The buffer zone of 200km along the coastline of India was selected for our study. The elevation data from SRTM DEM data and slope calculated from that were used for terrain masking whereas the standardized coastline data was used to create a land-ocean mask. More than 3,000 aquaculture pond vector samples were collected and used for the calculation of shape metrics. Preprocessed Sentinel-1 time series data available within the Google Earth Engine were used to calculate a temporal median image for the whole study area. Open-source connected component segmentation algorithm was for the identification of ponds based on the difference in backscatter intensity of inundated surface and shape metrics calculated as input parameters for segmentation. After several iterations by giving range of inputs, we could extract the aquaculture ponds for the study zone. A quantitative analysis was done to determine the provincial dominance in aquaculture production and associated conversion of wetlands. Andhra Pradesh and Gujarat holds major share of the shrimp production through aquaculture ponds.

elib-URL des Eintrags:https://elib.dlr.de/119782/
Dokumentart:Konferenzbeitrag (Poster)
Titel:Connected Component Segmentation for the extraction of Aquaculture ponds along India Coast using time series Sentinel-1 SAR data
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Kumar, Arun Prasadkarunprasad.gis (at) gmail.comNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Ottinger, MarcoMarco.Ottinger (at) dlr.dehttps://orcid.org/0000-0002-7336-1283NICHT SPEZIFIZIERT
Clauss, KerstenKersten.Clauss (at) dlr.dehttps://orcid.org/0000-0002-0028-4125NICHT SPEZIFIZIERT
Leinenkugel, Patrickpatrick.leinenkugel (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Künzer, ClaudiaClaudia.Kuenzer (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:9 April 2018
Referierte Publikation:Nein
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Seitenbereich:Seite 1
Status:veröffentlicht
Stichwörter:Aquaculture, India, Sentinel-1, SAR, Segmentation
Veranstaltungstitel:EGU General Assembly 2018
Veranstaltungsort:Wien, Österreich
Veranstaltungsart:internationale Konferenz
Veranstaltungsdatum:8. –13. April 2018
Veranstalter :European Geosciences Union (EGU)
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 > Landoberfläche
Hinterlegt von: Ottinger, Dr. Marco
Hinterlegt am:09 Mai 2018 11:18
Letzte Änderung:31 Jul 2019 20:17

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