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Wyświetlanie 1-2 z 2
Tytuł:
Wpływ warunków meteorologicznych na początek okresu wegetacyjnego lasów liściastych północno−wschodniej Polski
Impact of meteorological conditions on the onset of the growing season over broadleaved forests in northeastern Poland
Autorzy:
Bartold, M.
Bochenek, Z.
Powiązania:
https://bibliotekanauki.pl/articles/985746.pdf
Data publikacji:
2019
Wydawca:
Polskie Towarzystwo Leśne
Tematy:
lesnictwo
Polska Polnocno-Wschodnia
lasy lisciaste
fenologia
okres wegetacji
poczatek okresu wegetacyjnego
warunki meteorologiczne
teledetekcja satelitarna
Znormalizowany Wskaznik Wegetacji
dane satelitarne SPOT VEGETATION
dane satelitarne Proba-V
forest monitoring
ndvi
spot vegetation
proba−v
growing season
Opis:
The paper aims at assessing the impact of meteorological conditions on the start of the growing season (SOS) over forests in north−eastern Poland. The main objective was to study which, and if so to what extent, the meteorological parameters can describe the changes of the onset of vegetation in broadleaved forests. Study area encompasses forest complexes located in north−eastern Poland, which are under the influence of maritime and continental climate characterized by a shorter vegetation period and large temperature fluctuations. In this study forest mask containing only pixels with 50% cover of broadleaved forests defined by CLC2012 was applied. The time−series of satellite images derived from VEGETATION mission were applied for determining the start of the growing season. 10−day composites of Normalized Difference Vegetation Index (NDVI) from 1999 to 2016, derived at 1 km pixel resolution were filtered with double logistic function in order to determine the SOS. The meteorological parameters such as maximum air temperature, total precipitation and surface solar radiation derived from field measurements one month before the start of the growing season were taken into account. The Pearson correlation results proved that only maximum air temperature was related to the onset of the growing season. The strength of the relations depended on the dominant trees recognized within the forest area. There were no statistically significant relations with the precipitation and solar surface radiation which could be explained by frequent clouds during the month before the SOS and not observed unfavorable conditions that could have impacted on the changes of the growing season in forests.
Źródło:
Sylwan; 2019, 163, 12; 997-1005
0039-7660
Pojawia się w:
Sylwan
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Program Copernicus źródłem informacji o dominującym typie drzewostanu w Polsce – ocena dokładności krajowej warstwy wysokorozdzielczej
Copernicus Program as a source of information on the dominant leaf type in Poland – assessment of the accuracy of the national high resolution layer
Autorzy:
Mirończuk, A.
Leszczyńska, A.
Hościło, A.
Powiązania:
https://bibliotekanauki.pl/articles/979243.pdf
Data publikacji:
2020
Wydawca:
Polskie Towarzystwo Leśne
Tematy:
program Copernicus
dane satelitarne
warstwa wysokorozdzielcza
lasy
stopien zmieszania
Polska
leśnictwo
źrodła informacji
typy lasów
copernicus
high resolution layers
forest type
remote sensing
Sentinel-2
Opis:
Information on the spatial distribution and variability of forests is important in monitoring of forest resources, biodiversity assessment, threat prevention, estimation of carbon content and forest management. The Pan−European High Resolution Layers (HRLs) produced as part of the European Earth Monitoring Programme – Copernicus provide detailed information on the land cover characteristics in Europe. The HRLs are produced using satellite imagery based on an interactive rule−based classification. There are the following HRL themes: imperviousness, forest, water and wetness and grasslands. The HRLs are available for the reference year 2012 and 2015, at the spatial resolution of 20 m. The forest related HRL consists of tree cover density, dominant tree type and forest type products. In this study, we performed a) the qualitative and quantitative analysis of the accuracy of the dominant leaf type (DLT) layer for the 2015 year at the national scale, and b) detailed analysis of the data quality at the forest stand level over the selected forest districts. The DLT layer was compared with the national orthophotos. The detailed analysis was carried out using Sentinel−2 images and forest inventory data obtained from the Forest Data Bank over the selected forest districts. The accuracy analysis of the national DLT layer revealed the high omission error equal to 18.8%, and lower commission error of 5.4%. The omission error is mostly related to the omitted orchards and young forest plantations, which are included in the DLT layer. The commission error of the broadleaved forest is related mostly to the small patches of coniferous forest that was misclassified as broadleaved. In general, commission errors were identified more frequently in broadleaved forest than in the coniferous forest. In many locations the patches of coniferous forest were misclassified as broadleaved forest. In general, the area of the broadleaved forest is overestimated.
Źródło:
Sylwan; 2020, 164, 02; 151-160
0039-7660
Pojawia się w:
Sylwan
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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