Wetland maps including open water extent dynamics based on ENVISAT ASAR WS for Siberia, 2007 and 2008, links to GeoTIFFs, supplement to: Reschke, Julia; Bartsch, Annett; Schlaffer, Stefan; Schepaschenko, Dmitry (2012): Capability of C-Band SAR for operational wetland monitoring at high latitudes. Remote Sensing, 4(12), 2923-2943

• Main Authors: Reschke, Julia, Bartsch, Annett, Schlaffer, Stefan, Schepaschenko, Dmitry
• Format: Dataset
• Language: English
• Published: PANGAEA - Data Publisher for Earth & Environmental Science 2012
• Subjects: Event label; DATE/TIME; Date/time end; File name; File size; Uniform resource locator/link to file; Satellite remote sensing; Changing Permafrost in the Arctic and its Global Effects in the 21st Century PAGE21; Arctic; Asar; Climate change; permafrost; Tundra; Siberia
• Online Access: https://dx.doi.org/10.1594/pangaea.834502; https://doi.pangaea.de/10.1594/PANGAEA.834502

Wetlands store large amounts of carbon, and depending on their status and type, they release specific amounts of methane gas to the atmosphere. The connection between wetland type and methane emission has been investigated in various studies and utilized in climate change monitoring and modelling. For improved estimation of methane emissions, land surface models require information such as the wetland fraction and its dynamics over large areas. Existing datasets of wetland dynamics present the total amount of wetland (fraction) for each model grid cell, but do not discriminate the different wetland types like permanent lakes, periodically inundated areas or peatlands. Wetland types differently influence methane fluxes and thus their contribution to the total wetland fraction should be quantified. Especially wetlands of permafrost regions are expected to have a strong impact on future climate due to soil thawing. In this study ENIVSAT ASAR Wide Swath data was tested for operational monitoring of the distribution of areas with a long-term SW near 1 (hSW) in northern Russia (SW = degree of saturation with water, 1 = saturated), which is a specific characteristic of peatlands. For the whole northern Russia, areas with hSW were delineated and discriminated from dynamic and open water bodies for the years 2007 and 2008. The area identified with this method amounts to approximately 300,000 km**2 in northern Siberia in 2007. It overlaps with zones of high carbon storage. Comparison with a range of related datasets (static and dynamic) showed that hSW represents not only peatlands but also temporary wetlands associated with post-forest fire conditions in permafrost regions. Annual long-term monitoring of change in boreal and tundra environments is possible with the presented approach. Sentinel-1, the successor of ENVISAT ASAR, will provide data that may allow continuous monitoring of these wetland dynamics in the future complementing global observations of wetland fraction. : ENIVSAT ASAR Wide Swath data was tested for operational monitoring of the distribution of areas with a long-term high degree of saturation with water (hSW) as well as open water (10 day intervals). For the whole northern Russia, areas with hSW were delineated and discriminated from dynamic and open water bodies for the years 2007 and 2008. The identified areas overlap with zones of high carbon storage. Comparison with a range of related datasets (static and dynamic) showed that hSW represents not only peatlands but also temporary wetlands associated with post-forest fire conditions in permafrost regions. This experimental wetland product has been compiled within the framework of the ESA STSE ALANIS Methane project (www.alanis-methane.info). It covers most lowland areas of Siberia. The maps represent the snow-free season of 2007 and 2008, including open water with 10 day intervals for July and August 2007 over selected regions. Please consult the product guide regarding known issues and documentation. Quality is constrained by data availability, which is documented in the *day (days since last update) and *num (number of acquisitions used for the 10 day period) files. Nominal resolution is ~75m and projection is Universal Polar Stereographic North, WGS84. The the region of interest has been subdivided into 10 parts with varying extent.