Classification of Tundra Vegetation in the Krkonoše Mts. National Park Using APEX, AISA Dual and Sentinel-2A Data

Kupková, Lucie; Červená, Lucie; Suchá, Renata; Jakešová, Lucie; Zagajewski, Bogdan; Březina, Stanislav; Albrechtová, Jana

doi:10.1080/22797254.2017.1274573

Cited by 29 publications

(46 citation statements)

References 40 publications

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“…These species grow on the most precious mountain areas where, from April to September, about 75% of the annual tourist traffic is concentrated. The observed phenomenon of strong anthropopressure leads to intense exploitation of the land, resulting in destruction and restructuring of the plant cover and soil erosion in the areas neighboring trails [39,40].…”

Section: Study Area and Research Objectsmentioning

confidence: 99%

In Situ Hyperspectral Remote Sensing for Monitoring of Alpine Trampled and Recultivated Species

Kycko

Zagajewski

Lavender³

et al. 2019

Remote Sensing

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Vegetation, through its condition, reflects the properties of the environment. Heterogeneous alpine ecosystems play a critical role in global monitoring systems, but due to low accessibility, cloudy conditions, and short vegetation periods, standard monitoring methods cannot be applied comprehensively. Hyperspectral tools offer a variety of methods based on narrow-band data, but before extrapolation to an airborne or satellite scale, they must be verified using plant biometrical variables. This study aims to assess the condition of alpine sward dominant species (Agrostis rupestris, Festuca picta, and Luzula alpino-pilosa) of the UNESCO Man&Biosphere Tatra National Park (TPN) where the high mountain grasslands are strongly influenced by tourists. Data were analyzed for trampled, reference, and recultivated polygons. The field-obtained hyperspectral properties were verified using ground measured photosynthetically active radiation, chlorophyll content, fluorescence, and evapotranspiration. Statistically significant changes in terms of cellular structures, chlorophyll, and water content in the canopy were detected. Lower values for the remote sensing indices were observed for trampled plants (about 10–15%). Species in recultivated areas were characterized by a similar, or sometimes improved, spectral properties than the reference polygons; confirmed by fluorescence measurements (Fv/Fm). Overall, the fluorescence analysis and remote sensing tools confirmed the suitability of such methods for monitoring species in remote mountain areas, and the general condition of these grasslands was determined as good.

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Section: Study Area and Research Objectsmentioning

confidence: 99%

In Situ Hyperspectral Remote Sensing for Monitoring of Alpine Trampled and Recultivated Species

Kycko

Zagajewski

Lavender³

et al. 2019

Remote Sensing

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“…Not only can the variability of the vegetation make mapping more difficult, but the substantial cloud cover in the Arctic can decrease the number of available images that can be used for this excersise [85]. The limited imagery available might reduce the chances of an overlap between the dates of ground level and satellite data resulting in discrepancies in the phenological status of the vegetation in each of these datasets.…”

Section: Tundra Vegetation Mappingmentioning

confidence: 99%

Upscaling CH4 Fluxes Using High-Resolution Imagery in Arctic Tundra Ecosystems

et al. 2017

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Abstract:Arctic tundra ecosystems are a major source of methane (CH 4 ), the variability of which is affected by local environmental and climatic factors, such as water table depth, microtopography, and the spatial heterogeneity of the vegetation communities present. There is a disconnect between the measurement scales for CH 4 fluxes, which can be measured with chambers at one-meter resolution and eddy covariance towers at 100-1000 m, whereas model estimates are typically made at thẽ 100 km scale. Therefore, it is critical to upscale site level measurements to the larger scale for model comparison. As vegetation has a critical role in explaining the variability of CH 4 fluxes across the tundra landscape, we tested whether remotely-sensed maps of vegetation could be used to upscale fluxes to larger scales. The objectives of this study are to compare four different methods for mapping and two methods for upscaling plot-level CH 4 emissions to the measurements from EC towers. We show that linear discriminant analysis (LDA) provides the most accurate representation of the tundra vegetation within the EC tower footprints (classification accuracies of between 65% and 88%). The upscaled CH 4 emissions using the areal fraction of the vegetation communities showed a positive correlation (between 0.57 and 0.81) with EC tower measurements, irrespective of the mapping method. The area-weighted footprint model outperformed the simple area-weighted method, achieving a correlation of 0.88 when using the vegetation map produced with the LDA classifier. These results suggest that the high spatial heterogeneity of the tundra vegetation has a strong impact on the flux, and variation indicates the potential impact of environmental or climatic parameters on the fluxes. Nonetheless, assimilating remotely-sensed vegetation maps of tundra in a footprint model was successful in upscaling fluxes across scales.

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“…Thereby, contrasting spectral reflectance curves were used to identify species-specific spectral properties [41][42][43].…”

Section: Calculation Of Vegetation Indicesmentioning

confidence: 99%

Intraspecific Differences in Spectral Reflectance Curves as Indicators of Reduced Vitality in High-Arctic Plants

et al. 2017

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Remote sensing is a suitable candidate for monitoring rapid changes in Polar regions, offering high-resolution spectral, spatial and radiometric data. This paper focuses on the spectral properties of dominant plant species acquired during the first week of August 2015. Twenty-eight plots were selected, which could easily be identified in the field as well as on RapidEye satellite imagery. Spectral measurements of individual species were acquired, and heavy metal contamination stress factors were measured contemporaneously. As a result, a unique spectral library of dominant plant species, heavy metal concentrations and damage ratios were achieved with an indication that species-specific changes due to environmental conditions can best be differentiated in the 1401-2400 nm spectral region. Two key arctic tundra species, Cassiope tetragona and Dryas octopetala, exhibited significant differences in this spectral region that were linked to a changing health status. Relationships between field and satellite measurements were comparable, e.g., the Red Edge Normalized Difference Vegetation Index (RENDVI) showed a strong and significant relationship (R 2 = 0.82; p = 0.036) for the species Dryas octopetala. Cadmium and Lead were below detection levels while manganese, copper and zinc acquired near Longyearbyen were at concentrations comparable to other places in Svalbard. There were high levels of nickel near Longyearbyen (0.014 mg/g), while it was low (0.004 mg/g) elsewhere.

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Classification of Tundra Vegetation in the Krkonoše Mts. National Park Using APEX, AISA Dual and Sentinel-2A Data

Cited by 29 publications

References 40 publications

In Situ Hyperspectral Remote Sensing for Monitoring of Alpine Trampled and Recultivated Species

In Situ Hyperspectral Remote Sensing for Monitoring of Alpine Trampled and Recultivated Species

Upscaling CH4 Fluxes Using High-Resolution Imagery in Arctic Tundra Ecosystems

Intraspecific Differences in Spectral Reflectance Curves as Indicators of Reduced Vitality in High-Arctic Plants

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