FIELD SPECTROSCOPY FOR VEGETATION EVALUATION ALONG THE NUTRIENT AND ELEVATION GRADIENT ABOVE THE TREE LINE IN THE KRKONOŠE MOUNTAINS NATIONAL PARK

• Published in: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
• Main Authors: Červená, L., Kupková, L., Suchá, R.
• Format: Article in Journal/Newspaper
• Language: English
• Published: Copernicus Publications 2016
• Subjects: article; Verlagsveröffentlichung; Tundra
• Online Access: https://doi.org/10.5194/isprs-archives-XLI-B6-211-2016; https://noa.gwlb.de/receive/cop_mods_00012292; https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00012248/isprs-archives-XLI-B6-211-2016.pdf; https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B6/211/2016/isprs-archives-XLI-B6-211-2016.pdf

This paper examines the relations between vegetation spectra measured in the field along the nutrient and elevation gradient in the most valuable parts of The Krkonoše Mountains tundra and selected parameters describing vegetation state and condition (fAPAR, plant cover and average vegetation height). The main goal was to find relations and indices based on spectral measurements that could be used for vegetation evaluation and classification in practice and management. The vegetation parameters and spectral properties were also compared for two datasets – one acquired in July and second in August 2015. The best correlations were obtained for plant cover (R2 above 0.8 for July dataset and above 0.7 for August dataset) and two types of indices – using the wavelengths of red edge, e.g. OSAVI or mND705, and indices for vegetation water content estimates using the wavelengths in shortwave infrared region of the spectra in combination with wavelengths above 800 nm, e. g. NDII. The worst results were found for fAPAR with maximal values of R2 just above 0.4 with the indices using the wavelengths around 700 nm. For vegetation height the results differ between July and August data – R2 around 0.62 in July and only 0.47 in August for vegetation indices using the wavelengths of visible and red edge regions.