Application of multisensoral remote sensing data in the mapping of alkaline fens Natura 2000 habitat

作者：Kopec Dominik^*; Michalska Hejduk Dorota; Slawik Lukasz; Berezowski Tomasz; Borowski Marcin; Rosadzinski Stanislaw; Chormanski Jaroslaw

来源：Ecological Indicators, 2016, 70: 196-208.

DOI：10.1016/j.ecolind.2016.06.001

• Fen meadow
• Eutrophic fens
• Supervised classification
• Thermal data
• ALS
• LST
• Conservation status
• 7230

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 Biebrza River basin to develop a remote sensing method for alkaline fen classification - a protected Natura 2000 habitat (code 7230) - using remote sensing technologies. High resolution airborne true colour (RGB) and color infrared (CIR) orthophotomaps, the laser scanning point cloud and thermal day and night images were obtained in August 2013 in the Biebrza River basin. At the same time, botanical studies were conducted in this area using conventional phytosociological methods. The random forest classification method was used to distinguish patches (phytocoenoses) of alkaline fens in the study area. The developed method of wetland identification has an accuracy of 91.5%. The night land surface temperature (LST) appears to have the greatest indicator potential. The obtained inventory results were compared with the results of the traditional habitat 7230 mapping method, carried out in 2011-2013 by another team of authors, under the Management Plan (MP, 2014). The obtained results suggest that the developed method has a wide application in nature conservation. Remote sensing methods are alternatives to traditional methods and can be used to identify alkaline fens on a larger scale.

• 出版日期2016-11