Literature DB >> 18467019

Mapping wetlands in the Lower Mekong Basin for wetland resource and conservation management using Landsat ETM images and field survey data.

Charlotte MacAlister1, Manithaphone Mahaxay.   

Abstract

The Mekong River Basin is considered to be the second most species rich river basin in the world. The 795,000 km(2) catchment encompasses several ecoregions, incorporating biodiverse and productive wetland systems. Eighty percent of the rapidly expanding population of the Lower Mekong Basin (LMB), made up in part by Lao PDR, Thailand, Cambodia and Viet Nam, live in rural areas and are heavily reliant on wetland resources. As the populations of Cambodia and Lao PDR will double in the next 20 years, pressure on natural resources and particularly wetlands can only increase. For development planning, resource and conservation management to incorporate wetland issues, information on the distribution and character of Mekong wetlands is essential. The existing but outdated wetland maps were compiled from secondary landuse-landcover data, have limited coverage, poor thematic accuracy and no meta-data. Therefore the Mekong River Commission (MRC) undertook to produce new wetland coverage for the LMB. As resources, funding and regional capacity are limited, it was determined that the method applied should use existing facilities, be easily adaptable, and replicable locally. For the product to be useful it must be accepted by local governments and decision makers. The results must be of acceptable accuracy (>75%) and the methodology should be relatively understandable to non-experts. In the first stage of this exercise, field survey was conducted at five pilot sites covering a range of typical wetland habitats (MRC wetland classification) to supply data for a supervised classification of Landsat ETM images from the existing MRC archive. Images were analysed using ERDAS IMAGINE and applying Maximum Likelihood Classification. Field data were reserved to apply formal accuracy assessment to the final wetland habitat maps, with resulting accuracy ranging from 77 to 94%. The maps produced are now in use at a Provincial and National level in three countries for resource and conservation planning and management applications, including designation of a Ramsar wetland site of international importance.

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Year:  2008        PMID: 18467019     DOI: 10.1016/j.jenvman.2007.06.031

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  6 in total

1.  Spatio-temporal remotely sensed data for analysis of the shrinkage and shifting in the Al Hawizeh wetland.

Authors:  Yasser Ghobadi; Biswajeet Pradhan; Helmi Z M Shafri; Noordin bin Ahmad; Keivan Kabiri
Journal:  Environ Monit Assess       Date:  2014-11-25       Impact factor: 2.513

2.  Hydroclimate-driven changes in the landscape structure of the terminal lakes and wetlands of the China's Heihe River Basin.

Authors:  Shengchun Xiao; Honglang Xiao; Xiaomei Peng; Xiang Song
Journal:  Environ Monit Assess       Date:  2014-11-27       Impact factor: 2.513

Review 3.  Satellite Remote Sensing for Coastal Management: A Review of Successful Applications.

Authors:  Matthew J McCarthy; Kaitlyn E Colna; Mahmoud M El-Mezayen; Abdiel E Laureano-Rosario; Pablo Méndez-Lázaro; Daniel B Otis; Gerardo Toro-Farmer; Maria Vega-Rodriguez; Frank E Muller-Karger
Journal:  Environ Manage       Date:  2017-05-08       Impact factor: 3.266

4.  Dynamics of the lakes in the middle and lower reaches of the Yangtze River basin, China, since late nineteenth century.

Authors:  Lijuan Cui; Changjun Gao; Xinsheng Zhao; Qiongfang Ma; Manyin Zhang; Wei Li; Hongtao Song; Yifei Wang; Shengnan Li; Yan Zhang
Journal:  Environ Monit Assess       Date:  2012-09-11       Impact factor: 2.513

5.  Spatio-temporal analysis of floating islands and their behavioral changes in Loktak Lake with respect to biodiversity using remote sensing and GIS techniques.

Authors:  Rajiv Das Kangabam; Muthu Selvaraj; Munisamy Govindaraju
Journal:  Environ Monit Assess       Date:  2018-02-06       Impact factor: 2.513

6.  Characterizing wetland change at landscape scale in Jiangsu Province, China.

Authors:  Chi Xu; Sheng Sheng; Wen Zhou; Lijuan Cui; Maosong Liu
Journal:  Environ Monit Assess       Date:  2010-10-16       Impact factor: 2.513

  6 in total

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