The aim of this study is an analysis of an influence of geometry electromagnetic radiation (lamp or sun) - research target (leaves) - detector. The electromagnetic radiation was emitted by the lamp ASD ProLamp, which was installed at 30°, 45°, 90°, 135°, 150° angles. Reference measurements was a system in which the lamp and detector were set vertically. During the laboratory measurements spectral properties of Rhoeo spathacea were acquired. Based on the measured spectral curves of vegetation remote sensing indices were calculated and statistical ANOVA tests were applied. The results confirmed the relationship between the geometry of the lamp - plant - detector. The higher the angle the incident radiation results were less diverse and close to optimum values were observed. Analysis of the indicators showed that the high variability characterized by the indicators measuring water, chlorophyll contents and overall vigor parameters of plants. While the tests can be used for measuring rates of nitrogen content, the absorption of carotenoids and photosynthetically active radiation.
This paper presents analysis of plant cover condition in Gasienicowa Valley in the Tatra Mts. depending on various trampling intensity. Measurements were taken with ASD FieldSpec 3 spectrometer (its spectral range is 350-2500nm) on 8 dominant plant species of alpine swards: Juncus trifidus, Oreochloa disticha, Agrostis rupestris, Deschampsia flexuosa, Festuca airoides, Festuca picta, Luzula alpino-pilosa, Nardus stricta. These plant species were located: 0-5m, 5-10m and more than 10m distant from a touristic trail (control point). Spectral characteristics as well as vegetation indices were analyzed with ANOVA test, which showed differiential resistance to trampling of investigated plant species. The most resistant species were: Nardus stricta and Deschampsia flexuosa, whereas Oreochloa disticha and Festuca airoides appeared to be vulnerable to trampling. However, all vegetation indices for plant species were in its optimum range, so it proves that they are in a good condition. The analysis of vegetation indices enabled choosing those groups, which are the most useful in the research of mountain vegetation condition. They are: NDVI, ARVI, EVI from the broadband greeness group and mSR705 and mNDVI from narrowband greenness group (measuring chlorophyll content and cell structure), as well as WBI, NDWI, NDII from canopy water content group. The most important factor that effects investigated plant species condition is water content. The research showed that hyperspectral analysis is useful in studying human impact on vegetation cover and needs to be developed.
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