Dynamics of a Coupled System:Multi-Resolution Remote Sensing in Assessing Social-Ecological Responses during 25 Years of Gas Field Development in Arctic Russia

• Published in: Remote Sensing
• Main Authors: Kumpula, Timo, Forbes, Bruce C., Stammler, Florian, Messhtyb, Nina
• Format: Article in Journal/Newspaper
• Language: English
• Published: 2012
• Subjects: Yamal Nenets; West Siberia; anthropogenic disturbance; land change; nomadism; Landsat; SPOT; ASTER; Quickbird-2; GeoEye; EUROPEAN RUSSIA; VEGETATION; WEST; PENINSULA; SIBERIA; /dk/atira/pure/person/fieldofscience2010/1/17/2; name=Environmental sciences; /dk/atira/pure/person/fieldofscience2010/5/14/3; name=Social anthropology; Arctic; Bovanenkovo; Yamal Peninsula; nenets; Tundra; Siberia
• Online Access: https://research.ulapland.fi/fi/publications/85d03bf8-0c53-4918-9df3-1908361b7a8a; https://doi.org/10.3390/rs4041046

Hydrocarbon exploration has been underway in the north of West Siberia for several decades. Giant gas fields on the Yamal Peninsula are expected to begin feeding the Nord Stream pipeline to Western Europe in late 2012. Employing a variety of high- to very high-resolution satellite-based sensors, we have followed the establishment and spread of Bovanenkovo, the biggest and first field to be developed. Extensive onsite field observations and measurements of land use and land cover changes since 1985 have been combined with intensive participant observation in all seasons among indigenous Nenets reindeer herders and long-term gas field workers during 2004-2007 and 2010-2011. Time series and multi-resolution imagery was used to build a chronology of the gas field's development. Large areas of partially or totally denuded tundra and most forms of expanding infrastructure are readily tracked with Landsat scenes (1985, 1988, 2000, 2009, 2011). SPOT (1993, 1998) and ASTER (2001) were also used. Quickbird-2 (2004) and GeoEye (2010) were most successful in detecting small-scale anthropogenic disturbances as well as individual camps of nomadic herders moving in the vicinity of the gas field. For assessing gas field development the best results are obtained by combining lower resolution with Very High Resolution (VHR) imagery (spatial resolution