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The Ha Tien Plain – wetland monitoring using remote-sensing techniques

Funkenberg, Tim and Tran Thai, Binh and Moder, Florian and Dech, Stefan (2014) The Ha Tien Plain – wetland monitoring using remote-sensing techniques. International Journal of Remote Sensing, 35 (8), pp. 2893-2909. Taylor & Francis. doi: 10.1080/01431161.2014.890306. ISSN 0143-1161.

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The study investigates land-cover change in the Ha Tien Plain, once considered to be the last remaining extensive wetland area of seasonally inundated grassland in the Mekong Delta. For this purpose, two Landsat images recorded in 1991 and 2009, respectively, were classified using the C5.0 decision tree classifier. A subsequent change detection analysis revealed a significant decrease of 77% of the area classified as seasonally inundated grassland in 1991, mainly due to the conversion into agriculture, aquaculture, and forest. Since these wetlands support a high diversity of flora and a rich avifauna, there should be a focus on the protection of the last remnant patches of seasonally inundated grasslands in the Ha Tien Plain in order to preserve their biodiversity values and ecosystem functions.

Item URL in elib:https://elib.dlr.de/90751/
Document Type:Article
Title:The Ha Tien Plain – wetland monitoring using remote-sensing techniques
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Funkenberg, TimTim.Funkenberg (at) uni-wuerzburg.deUNSPECIFIED
Tran Thai, Binhthaibinhtran (at) gmail.comUNSPECIFIED
Dech, Stefanstefan.dech (at) dlr.deUNSPECIFIED
Journal or Publication Title:International Journal of Remote Sensing
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:Yes
DOI :10.1080/01431161.2014.890306
Page Range:pp. 2893-2909
Publisher:Taylor & Francis
Keywords:wetland; Vietnam; TWOPAC
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Vorhaben Fernerkundung der Landoberfläche (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Leitungsbereich DFD
Deposited By: Gessner, Ursula
Deposited On:29 Sep 2014 11:19
Last Modified:10 Jan 2019 15:48

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