Przyczynki do flory Tatrzańskiego Parku Narodowego

Zięba, Antoni; Wrobel, S; Kauzal, P.; Delimat, Anna; Ociepa, Anna Maria; Kozak, Maciej; Kozłowska-Kozak, Katarzyna; Czortek, Patryk; Baran, Jakub; Bryniarski, Grzegorz; Gąsienica-Roj, Wojciech; Tylka, Wojciech; Nejfeld, Paweł; Kawulak, Monika; Widlak, Marcin

doi:10.35535/ffgp-2020-0022

Cited by 2 publications

(1 citation statement)

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“…The Tatra Transboundary Biosphere Reserve, one of the most floristically valuable alpine areas, covers areas of the Polish Tatrza ński Park Narodowy (TPN) and the Slovak Tatranský Národný Park (TANAP). The area is a subject of numerous vegetation studies [54], based on a fixed network of surveying polygons [55] on which phytosociological mapping is undertaken using the Braun-Blanquet method [56]. The study area was the western part of Tatra Mountains (Western Tatras) located in the Polish Tatra National Park, extending over an area approximately 17 km in length and 7-10 km in width, covering approximately 115 km 2 (Figure 1).…”

Section: Study Areamentioning

confidence: 99%

Airborne HySpex Hyperspectral Versus Multitemporal Sentinel-2 Images for Mountain Plant Communities Mapping

2022

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Climate change and anthropopression significantly impact plant communities by leading to the spread of expansive and alien invasive plants, thus reducing their biodiversity. Due to significant elevation gradients, high-mountain plant communities in a small area allow for the monitoring of the most important environmental changes. Additionally, being a tourist attraction, they are exposed to direct human influence (e.g., trampling). Airborne hyperspectral remote sensing is one of the best data sources for vegetation mapping, but flight campaign costs limit the repeatability of surveys. A possible alternative approach is to use satellite data from the Copernicus Earth observation program. In our study, we compared multitemporal Sentinel-2 data with HySpex airborne hyperspectral images to map the plant communities on Tatra Mountains based on open-source R programing implementation of Random Forest and Support Vector Machine classifiers. As high-mountain ecosystems are adapted to topographic conditions, the input of Digital Elevation Model (DEM) derivatives on the classification accuracy was analyzed and the effect of the number of training pixels was tested to procure practical information for field campaign planning. For 13 classes (from rock scree communities and alpine grasslands to montane conifer and deciduous forests), we achieved results in the range of 76–90% F1-score depending on the data set. Topographic features: digital terrain model (DTM), normalized digital surface model (nDSM), and aspect and slope maps improved the accuracy of HySpex spectral images, transforming their minimum noise fraction (MNF) bands and Sentinel-2 data sets by 5–15% of the F1-score. Maps obtained on the basis of HySpex imagery (2 m; 430 bands) had a high similarity to maps obtained on the basis of multitemporal Sentinel-2 data (10 m; 132 bands; 11 acquisition dates), which was less than one percentage point for classifications based on 500–1000 pixels; for sets consisting of 50–100 pixels, Random Forest (RF) offered better accuracy.

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Section: Study Areamentioning

confidence: 99%

Airborne HySpex Hyperspectral Versus Multitemporal Sentinel-2 Images for Mountain Plant Communities Mapping

2022

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Nowe stanowiska roślin naczyniowych Polski, 3

Wójcik¹,

Brzoza²,

Chrabąszcz³

et al. 2022

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Streszczenie W pracy przedstawiono nowe stanowiska 18 rzadkich (lub regionalnie rzadkich) roślin naczyniowych w Polsce (rodzimych i obcych), tj. Allium victorialis , Asclepias syriaca , Carex brizoides , Cephalanthera rubra , Cypripedium calceolus , Eragrostis albensis , Erysimum pieninicum , Gentiana cruciata , Lepidium coronopus , L. latifolium , Limosella aquatica , Lycopodiella inundata , Orobanche centaurina , O. lutea , Silaum silaus , Taraxacum paucilobum , Tragus racemosus oraz Trapa natans .

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Przyczynki do flory Tatrzańskiego Parku Narodowego

Cited by 2 publications

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Airborne HySpex Hyperspectral Versus Multitemporal Sentinel-2 Images for Mountain Plant Communities Mapping

Airborne HySpex Hyperspectral Versus Multitemporal Sentinel-2 Images for Mountain Plant Communities Mapping

Nowe stanowiska roślin naczyniowych Polski, 3

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