<abstract xmlns="http://www.w3.org/1999/xhtml"> The paper deals with the evaluation of mountain meadow vegetation condition using in-situ measurements of the fraction of Accumulated Photosynthetically Active Radiation (fAPAR) and Leaf Area Index (LAI). The study analyses the relationship between these parameters and spectral properties of meadow vegetation and selected invasive species with the goal of finding out vegetation indices for the detection of fAPAR and LAI. The developed vegetation indices were applied on hyperspectral data from an APEX (Airborne Prism Experiment) sensor in the area of interest in the Krkonoše National Park. The results of index development on the level of the field data were quite good. The maximal sensitivity expressed by the coefficient of determination for LAI was R2 = 0.56 and R2 = 0.79 for fAPAR. However, the sensitivity of all the indices developed at the image level was quite low. The output values of in-situ measurements confirmed the condition of invasive species as better than that of the valuable original meadow vegetation, which is a serious problem for national park management.</abstract>

The paper deals with the evaluation of mountain meadow vegetation condition using in-situ measurements of the fraction of Accumulated Photosynthetically Active Radiation (fAPAR) and Leaf Area Index (LAI). The study analyses the relationship between these parameters and spectral properties of meadow vegetation and selected invasive species with the goal of finding out vegetation indices for the detection of fAPAR and LAI. The developed vegetation indices were applied on hyperspectral data from an APEX (Airborne Prism Experiment) sensor in the area of interest in the Krkonoše National Park. The results of index development on the level of the field data were quite good. The maximal sensitivity expressed by the coefficient of determination for LAI was R2 = 0.56 and R2 = 0.79 for fAPAR. However, the sensitivity of all the indices developed at the image level was quite low. The output values of in-situ measurements confirmed the condition of invasive species as better than that of the valuable original meadow vegetation, which is a serious problem for national park management.

Laboratory and image spectroscopy for evaluating the biophysical state of meadow vegetation in the Krkonoše National Park

Department of Applied Geoinformatics and Cartography Faculty of Science Charles University in Prague

Department of Geoinformatics and Remote Sensing Faculty of Geography and Regional Studies University of Warsaw

The Krkonoše Mountains National Park administration

College of Inter-Faculty Individual Studies in Mathematics and Natural Sciences University of Warsaw Department of Geoinformatics and Remote Sensing Faculty of Geography and Regional Studies University of Warsaw

Miscellanea Geographica

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

The paper deals with the evaluation of mountain meadow vegetation condition using in-situ measurements of the fraction of Accumulated Photosynthetically Active...

Laboratory and image spectroscopy for evaluating the biophysical state of meadow vegetation in the Krkonoše National Park

Online veröffentlicht: 17. Juni 2014

Seitenbereich: 15 - 22

Eingereicht: 10. Okt. 2013

Akzeptiert: 01. März 2014

DOI: https://doi.org/10.2478/mgrsd-2014-0014

Schlüsselwörter
LAI, fAPAR, hyperspectral data, meadow vegetation, invasive species, the Krkonoše National Park

© by Jan Jelének

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Laboratory and image spectroscopy for evaluating the biophysical state of meadow vegetation in the Krkonoše National Park

Online veröffentlicht: 17. Juni 2014

Seitenbereich: 15 - 22

Eingereicht: 10. Okt. 2013

Akzeptiert: 01. März 2014

DOI: https://doi.org/10.2478/mgrsd-2014-0014

SchlüsselwörterLAI, fAPAR, hyperspectral data, meadow vegetation, invasive species, the Krkonoše National Park

© by Jan Jelének

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
LAI, fAPAR, hyperspectral data, meadow vegetation, invasive species, the Krkonoše National Park