Forest Dragon 2: Mid-term Results of the European Partners
نویسندگان
چکیده
One of the main objectives of the Forest DRAGON 2 project is the evaluation of the Forest DRAGON 1 large area forest growing stock volume (GSV) maps generated for Northeast and Southeast China, based on ERS-1/2 tandem coherence data from the mid 1990s. A special cross-comparison design mainly based on freely available Earth Observation products has been developed in consequence of lack of extensive in situ measurements. A reasonable agreement above 70 % between the forest GSV maps and the EO products in terms of forest/ non-forest could be achieved for NE and SE China. The assessment of forest cover and structure changes in China from the mid 1990s into the current decade is addressed by a pilot study at the regions of Daxinganling and Xiaoxinganling. A one-year stack (2007) of Envisat ASAR GMM data has been processed at 1-km pixel size with the BIOMASAR algorithm to obtain continuous GSV. Accordingly, the ERS-1/2 tandem data has been reprocessed to 1 km to allow an intercomparison of the two products, which in turn allowed observing scaling effects on the forest GSV. Preliminary results show plausible detection of forest cover changes. Posted at the Zurich Open Repository and Archive, University of Zurich ZORA URL: https://doi.org/10.5167/uzh-77399 Published Version Originally published at: Schmullius, C; Reiche, J; Leiterer, R; Cartus, O; Santoro, M; Wegmüller, U; Li, Z; Tian, X; Ling, F (2010). Forest Dragon 2: Mid-term results of the European partners. In: Symposium Dragon 2 Programme MidTerm Results 2008–2010, Guilin City (China), 17 May 2010 21 May 2010, online. FOREST DRAGON 2: MID-TERM RESULTS OF THE EUROPEAN PARTNERS C. Schmullius, J. Reiche, R. Leiterer, O. Cartus, M. Santoro, U. Wegmüller, Z.Y. Li, X. Tian, F.L.Ling, (1) Department of Earth Observation, Friedrich-Schiller University Jena, Grietgasse 6, 07745 Jena, Germany; Email: Johannes.Reiche, Reik.Leiterer, Oliver.Cartus, c.schmullius; @uni-jena.de (2) Gamma Remote Sensing, Worbstrasse 225, 3073 Gümligen, Switzerland; Email: santoro, wegmuller; @gamma-rs.ch (3) Forest Remote Sensing Lab, Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry , Wanshoushan Hou, Haidian, 1000091 Beijing, China; Email: zengyuan.li, tianxin, flling; @caf.ac.cn
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