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Globwetland Information Products Description
Geo-referenced base map including Land Use and Land Cover including wetland attributed (wetland types)
The Land Use Land Cover (LULC) map product includes a detailed classification of all land parcels within the area of interest. The LULC product includes classes of interest defined by the end users, which are presented using a standardized classification scheme based on the Corine Land Cover system, which has been adapted for use in wetlands.

Land Use Land Cover Map (July 2003) Littoral Audois, Southern France
Land Use Land Cover Map (July 2003)
Littoral Audois, Southern France
Long and Short Term Change Detection
The Long and Short Term Change Detection product compares the land use and land cover between two dates which have been selected by the end user. The current day LULC maps are used as a basis to compare with historical information. Summary statistics and visualizations of the changes are produced to assist the end users interpret changes that are occurring over their sites.

Change Map (1986-2004) Creston Valley, Western Canada
Change Map (1986 - 2004)
Creston Valley, Western Canada
Water Cycle Regime
The Water Cycle Regime product is based on the use of SAR (Synthetic Aperture Radar) to detect seasonal changes in the water cycle over the same site. Multi-temporal data is collected and processed to measure changes in water bodies, providing minimum and maximum water extent statistics and visualizations.

Water Cycle Regime Change Map (Sep 2004 to Nov 2004) Littoral Audois, Southern France
Water Cycle Regime Change Map
(Sep 2004 to Nov 2004)
Littoral Audois, Southern France
Wetland Identification, Delineation
Delineation of wetlands, or lands that have the potential characteristics of wetlands is an important task for identifying potential areas to prioritize for protection. Using a combination of optical and SAR imagery, typically wet vegetation at critical time periods during the year can be observed. Through these observations, potential wetlands can be identified for end users.

Wetland identification and attributes (types) are included in the detailed LULC maps, which have 5 levels of detail. Any known wetland land cover or land use will be mapped as such in the LULC maps through assignment of the appropriate class values. The Ramsar wetland types have classification equivalents at level 4 and additional classes which are more detailed are included at level 5.

Wetland Identification, Nylvsley, South Africa
Wetland Identification (July 2005)
Nylvsley Floodplain, South Africa
Topographic Dynamics (Coastline Erosion) and Subsidence Monitoring
Certain wetland sites have expressed a need to monitor historical changes in the coastline dynamics, as subsidence motion of the ground. These changes are important indicators for the condition of the wetlands. Historical and current day satellite imagery is used to measure changes in the coastline. In addition, subsidence monitoring which is contributing to the erosion, can be measured using InSAR, a technique which can measure mm level movement of the grounds motion based on SAR data.

RADARSAT-1 image (Jan 19, 2005) Marais du Cotentin,, Northern France.
RADARSAT-1 image (Jan 19, 2005)
Marais du Cotentin Bessin, Northern France
Digital Elevation Models (DEM)
The ability of EO sensors to generate DEMs covering large areas at relatively low cost is an important consideration in wetlands management. DEMs provide significant information for a wetland site and can play a significant role in
  • the delineation of the wetland catchment area
  • visualization of wetlands information (i.e. 3D display)
  • determination of high (i.e. flooded), low (i.e. drought) and mean waterlevels
  • determination of areas affected by toxic point discharges
  • location of groundwater acquifers, recharge areas, vulnerability to contamination
  • estimation of soil moisture
  • determination of land use capabilities
Digital Elevation Model, Prince Edward Island, South Africa
Digital Elevation Model (DEM)
Prince Edward Island Nature Reserve,
South Africa,
Peatland Fire Scar Mapping
Peat Fires are becoming an increasing problem worldwide. Due to the high carbon content of the peat biomass, huge amounts of aerosols, different trace gases and carbon are released into the atmosphere with negative effects on human health and global warming. Mutli-temporal optical imagery will be used to detect fire scars, and identify areas which are recovering from such damaging peat fires occurring in Russia.

Peatland Fire Scar, Dubna, Russia
Peatland Fire Scar  (Sep 2005)
Dubna, Central Russia

Biophysical Parameters including: water colour, water sediment, chlorophyll concentration, evapotranspiration, water and land surface temperature
Biophysical parameters such as water colour ; water sediment, chlorophyll concentration, evapotranspiration rates and water surface temperature have been successfully measured in ocean and coastal regions. In general however, these parameters have not been successfully measured in wetland areas because no commercial sensors exist that can provide both the spatial and radiometric resolution required for small water bodies. Satellite sensors either have high radiometric resolution combined with medium/low spatial resolution (e.g. Hyperion) or high spatial resolution combined with low radiometirc resolution (e.g. IKONOS and Quickbird). As sensor capabilities improve, accurate biophysical parameter estimates may be feasible.

Suspended Sediments-St Lucia, South Africa
Suspended Sediments,
St. Lucia Estuary, South Africa


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