Limits...
Development of an indicator to monitor mediterranean wetlands.

Sanchez A, Abdul Malak D, Guelmami A, Perennou C - PLoS ONE (2015)

Bottom Line: A validation process is put in place to compare outcomes with existing local wetland inventories to check the results reliability.The indicator´s results demonstrate an improvement in the level of precision of change detection methods achieved by traditional tools providing reliability up to 95% in main wetland areas.The results confirm that the use of RS techniques improves the precision of wetland detection compared to the use of CLC for wetland monitoring and stress the strong relation between the level of wetland detection and the nature of the wetland areas and the monitoring scale considered.

View Article: PubMed Central - PubMed

Affiliation: European Topic Centre, University of Málaga, Málaga, Spain.

ABSTRACT
Wetlands are sensitive ecosystems that are increasingly subjected to threats from anthropogenic factors. In the last decades, coastal Mediterranean wetlands have been suffering considerable pressures from land use change, intensification of urban growth, increasing tourism infrastructure and intensification of agricultural practices. Remote sensing (RS) and Geographic Information Systems (GIS) techniques are efficient tools that can support monitoring Mediterranean coastal wetlands on large scales and over long periods of time. The study aims at developing a wetland indicator to support monitoring Mediterranean coastal wetlands using these techniques. The indicator makes use of multi-temporal Landsat images, land use reference layers, a 50m numerical model of the territory (NMT) and Corine Land Cover (CLC) for the identification and mapping of wetlands. The approach combines supervised image classification techniques making use of vegetation indices and decision tree analysis to identify the surface covered by wetlands at a given date. A validation process is put in place to compare outcomes with existing local wetland inventories to check the results reliability. The indicator´s results demonstrate an improvement in the level of precision of change detection methods achieved by traditional tools providing reliability up to 95% in main wetland areas. The results confirm that the use of RS techniques improves the precision of wetland detection compared to the use of CLC for wetland monitoring and stress the strong relation between the level of wetland detection and the nature of the wetland areas and the monitoring scale considered.

No MeSH data available.


Related in: MedlinePlus

Study area: Departments of the PACA region, their relative wetland surfaces, and % covered by wetland.
© Copyright Policy
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC4380444&req=5

pone.0122694.g003: Study area: Departments of the PACA region, their relative wetland surfaces, and % covered by wetland.

Mentions: The first one, the wetland inventory, displays the surface covered by water bodies and wetlands in the study area. These inventories were developed by local authorities and experts and have been validated through field-checking (except for Dep. 06, which has none). The inventories were developed between 2001 and 2012, then aggregated and they provide a reliable overview of regional wetlands for the decade 2001–2010. Inventories of Dep. 05 and 84 were not totally completed at the time of the analysis (Fig 3), and the analysis only covered their inventoried parts.


Development of an indicator to monitor mediterranean wetlands.

Sanchez A, Abdul Malak D, Guelmami A, Perennou C - PLoS ONE (2015)

Study area: Departments of the PACA region, their relative wetland surfaces, and % covered by wetland.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4380444&req=5

pone.0122694.g003: Study area: Departments of the PACA region, their relative wetland surfaces, and % covered by wetland.
Mentions: The first one, the wetland inventory, displays the surface covered by water bodies and wetlands in the study area. These inventories were developed by local authorities and experts and have been validated through field-checking (except for Dep. 06, which has none). The inventories were developed between 2001 and 2012, then aggregated and they provide a reliable overview of regional wetlands for the decade 2001–2010. Inventories of Dep. 05 and 84 were not totally completed at the time of the analysis (Fig 3), and the analysis only covered their inventoried parts.

Bottom Line: A validation process is put in place to compare outcomes with existing local wetland inventories to check the results reliability.The indicator´s results demonstrate an improvement in the level of precision of change detection methods achieved by traditional tools providing reliability up to 95% in main wetland areas.The results confirm that the use of RS techniques improves the precision of wetland detection compared to the use of CLC for wetland monitoring and stress the strong relation between the level of wetland detection and the nature of the wetland areas and the monitoring scale considered.

View Article: PubMed Central - PubMed

Affiliation: European Topic Centre, University of Málaga, Málaga, Spain.

ABSTRACT
Wetlands are sensitive ecosystems that are increasingly subjected to threats from anthropogenic factors. In the last decades, coastal Mediterranean wetlands have been suffering considerable pressures from land use change, intensification of urban growth, increasing tourism infrastructure and intensification of agricultural practices. Remote sensing (RS) and Geographic Information Systems (GIS) techniques are efficient tools that can support monitoring Mediterranean coastal wetlands on large scales and over long periods of time. The study aims at developing a wetland indicator to support monitoring Mediterranean coastal wetlands using these techniques. The indicator makes use of multi-temporal Landsat images, land use reference layers, a 50m numerical model of the territory (NMT) and Corine Land Cover (CLC) for the identification and mapping of wetlands. The approach combines supervised image classification techniques making use of vegetation indices and decision tree analysis to identify the surface covered by wetlands at a given date. A validation process is put in place to compare outcomes with existing local wetland inventories to check the results reliability. The indicator´s results demonstrate an improvement in the level of precision of change detection methods achieved by traditional tools providing reliability up to 95% in main wetland areas. The results confirm that the use of RS techniques improves the precision of wetland detection compared to the use of CLC for wetland monitoring and stress the strong relation between the level of wetland detection and the nature of the wetland areas and the monitoring scale considered.

No MeSH data available.


Related in: MedlinePlus