Application of multisensoral remote sensing data in the mapping of alkaline fens Natura 2000 habitat
作者： Dominik KopeĿ , Dorota Michalska-Hejduk , ſukasz Sſawik , Tomasz Berezowski , Marcin Borowski
DOI: 10.1016/J.ECOLIND.2016.06.001
关键词:
摘要: The Biebrza River valley (NE Poland) is distinguished by largely intact, highly natural vegetation patterns and very good conservation status of wetland ecosystems. In 2013⿿2014, studies were conducted in the upper basin to develop a remote sensing method for alkaline fen classification ⿿ protected Natura 2000 habitat (code 7230) using technologies. High resolution airborne true colour (RGB) color infrared (CIR) orthophotomaps, laser scanning point cloud thermal day night images obtained August 2013 basin. At same time, botanical this area conventional phytosociological methods. random forest was used distinguish patches (phytocoenoses) fens study area. developed identification has an accuracy 91.5%. land surface temperature (LST) appears have greatest indicator potential. inventory results compared with traditional 7230 mapping method, carried out 2011⿿2013 another team authors, under Management Plan (MP, 2014). suggest that wide application nature conservation. Remote methods are alternatives can be identify on larger scale.
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