|TSM/TDM Science Team Meeting 2016|
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|TanDEM-X Science Service System|
|Title||Wetland monitoring and water stress in sub-Saharan West-Africa|
|Investigator||Moser, Linda - German Aerospace Center (DLR), German Remote Sensing Data Center|
In this study the dynamics of wetlands in the sub-Saharan West-African Sahel and savannah shall be studied. The chosen semi-arid regions in Burkina Faso frequently suffer from droughts and water scarcity, precipitation falls exclusively during the rainy season between May and September. Throughout and towards the end of the dry season (March/April) pastoralists, farmers, and villagers strongly depend on water availability in surface water bodies. Therefore, monitoring of wetlands and water bodies is carried out with optical medium resolution time series data over the past years. Strong seasonal dynamics require regular monitoring throughout a complete season, cloud cover, however, does not permit to derive reliable information during the rainy season, and the resolution is too coarse to capture small water bodies of importance.
TerraSAR-X data shall be used for continuous monitoring of the North-South transect area using a ScanSAR stripe (if necessary split into 2-3 parts, therefore every 11 or 22 days) and of one selected wetland areas, the RAMSAR site Lac Bam, using dual-polarimetric StripMap data on a high resolution spatial scale (every 11 days), and both without being affected by cloud cover. The time interval is between June 2013 and June 2014. Those wetlands are closely located to populated places and cultivated areas where water use is of high importance.
Data synergies with other sensors are planned. Time series observations from MODIS reflectance data as well as time series from the newly created Geoland-2 BioPar Water Body Product are used to characterize spatio-temporal variations of wetlands. In addition, optical RapidEye Data has been acquired during the dry season 2013 and are planned to be acquired at the end of the rainy season (Aug-Oct).TSX data shall serve as validation data set for optical time series data, and it will be further used to fill the gaps in optical data time series due to cloud cover. TSX sensor enables monitoring on a high resolution spatial scale, will capture seasonal information and contribute to understand wetland and water dynamics in the area.
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