Quoc, Tuan Vo und Oppelt, Natascha und Leinenkugel, Patrick und Künzer, Claudia (2013) Remote Sensing in Mapping Mangrove Ecosystems: An Object-Based Approach. Remote Sensing, 5 (1), Seiten 183-201. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs5010183.
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Offizielle URL: http://www.mdpi.com/2072-4292/5/1/183/
Kurzfassung
Over the past few decades, clearing for shrimp farming has caused severe losses of mangroves in the Mekong Delta (MD) of Vietnam. Although the increasing importance of shrimp aquaculture in Vietnam has brought significant financial benefits to the local communities, the rapid and largely uncontrolled increase in aquacultural area has contributed to a considerable loss of mangrove forests and to environmental degradation. Although different approaches have been used for mangrove classification, no approach to date has addressed the challenges of the special conditions that can be found in the aquaculture-mangrove system in the Ca Mau province of the MD. This paper presents an object-based classification approach for estimating the percentage of mangroves in mixed mangrove-aquaculture farming systems to assist the government to monitor the extent of the shrimp farming area. The method comprises multi-resolution segmentation and classification of SPOT5 data using a decision tree approach as well as local knowledge from the region of interest. The results show accuracies higher than 75% for certain classes at the object level. Furthermore, we successfully detect areas with mixed aquaculture-mangrove land cover with high accuracies. Based on these results, mangrove development, especially within shrimp farming-mangrove systems, can be monitored. However, the mangrove forest cover fraction per object is affected by image segmentation and thus does not always correspond to the real farm boundaries. It remains a serious challenge, then, to accurately map mangrove forest cover within mixed systems.
elib-URL des Eintrags: | https://elib.dlr.de/80450/ | ||||||||||||||||||||
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Dokumentart: | Zeitschriftenbeitrag | ||||||||||||||||||||
Titel: | Remote Sensing in Mapping Mangrove Ecosystems: An Object-Based Approach | ||||||||||||||||||||
Autoren: |
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Datum: | 2013 | ||||||||||||||||||||
Erschienen in: | Remote Sensing | ||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||
Open Access: | Ja | ||||||||||||||||||||
Gold Open Access: | Ja | ||||||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||||||
In ISI Web of Science: | Ja | ||||||||||||||||||||
Band: | 5 | ||||||||||||||||||||
DOI: | 10.3390/rs5010183 | ||||||||||||||||||||
Seitenbereich: | Seiten 183-201 | ||||||||||||||||||||
Verlag: | Multidisciplinary Digital Publishing Institute (MDPI) | ||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||
Stichwörter: | decision tree; object-based; mangrove fraction; SPOT | ||||||||||||||||||||
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 - Vorhaben Fernerkundung der Landoberfläche (alt) | ||||||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||||||
Institute & Einrichtungen: | Deutsches Fernerkundungsdatenzentrum > Landoberfläche | ||||||||||||||||||||
Hinterlegt von: | Leinenkugel, Patrick | ||||||||||||||||||||
Hinterlegt am: | 26 Feb 2013 13:16 | ||||||||||||||||||||
Letzte Änderung: | 20 Nov 2023 15:14 |
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