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Remote Sensing in Mapping Mangrove Ecosystems: An Object-Based Approach

Quoc, Tuan Vo and Oppelt, Natascha and Leinenkugel, Patrick and Künzer, Claudia (2013) Remote Sensing in Mapping Mangrove Ecosystems: An Object-Based Approach. Remote Sensing, 5 (1), pp. 183-201. Multidisciplinary Digital Publishing Institute (MDPI). DOI: 10.3390/rs5010183

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Official URL: http://www.mdpi.com/2072-4292/5/1/183/

Abstract

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.

Item URL in elib:https://elib.dlr.de/80450/
Document Type:Article
Title:Remote Sensing in Mapping Mangrove Ecosystems: An Object-Based Approach
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Quoc, Tuan Votuan.voquoc (at) dlr.deUNSPECIFIED
Oppelt, Nataschaoppelt (at) geographie.uni-kiel.deUNSPECIFIED
Leinenkugel, Patrickpatrick.leinenkugel (at) dlr.deUNSPECIFIED
Künzer, Claudiaclaudia.kuenzer (at) dlr.deUNSPECIFIED
Date:2013
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:5
DOI :10.3390/rs5010183
Page Range:pp. 183-201
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
Status:Published
Keywords:decision tree; object-based; mangrove fraction; SPOT
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Fernerkundung der Landoberfläche (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Deposited By: Leinenkugel, Patrick
Deposited On:26 Feb 2013 13:16
Last Modified:08 Mar 2018 18:49

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