Paper
14 March 2003 The SIBERIA and SIBERIA-II projects: an overview
Maurizio Santoro, Christiane C. Schmullius, Leif Eriksson, Soeren Hese
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Abstract
The international EU-funded SIBERIA project (1998-2000) aimed at the production of an extensive forest map using spaceborne SAR data acquired by the ERS and JERS satellites. For a large geographical region (900.000 km2) located in the Central Siberian Plateau, one-day ERS coherence and JERS backscatter were used to retrieve growing stock volume. A classification algorithm based on peaks in the coherence and backscatter histograms was used. Four volume classes, water and open land were considered. An independent test in 10 areas showed an accuracy above 80%. The produced forest map serves as a tool for the sustainable management of Siberian natural resources and for a better understanding of the role of boreal forests in climate change. The objective of the international EU-funded SIBERIA-II project (2002-2005) is to demonstrate the viability of full carbon accounting, including all greenhouse gasses, with a multi-sensor approach over a 2 million-km2 area in Siberia. Having recently started, a general overview of the aims and the objectives of the project is given. Using several satellite observations available and the SIBERIA database, the first step consists in the generation of several Earth Observation (EO) products (such as biomass, phenological parameters, soil moisture, snow cover etc). Together with land-cover information from local institutions, these products will be input to two dynamic vegetation models for full regional carbon accounting. To increase knowledge, additional products such as Afforestation-Reforestation-Deforestation and fire scars maps are planned.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Maurizio Santoro, Christiane C. Schmullius, Leif Eriksson, and Soeren Hese "The SIBERIA and SIBERIA-II projects: an overview", Proc. SPIE 4886, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology II, (14 March 2003); https://doi.org/10.1117/12.462357
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Cited by 6 scholarly publications.
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KEYWORDS
Carbon

Remote sensing

Satellites

Synthetic aperture radar

Vegetation

Climatology

Atmospheric modeling

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