Wszystkie pola: pole powierzchni przekroju piersnicowego - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Dokładność określania pierśnicowego pola przekroju drzewostanów bukowych na podstawie powierzchni próbnych
The accuracy of estimates of basal area in beech stands using sample plots
Autorzy:: Ochał, W.
Powiązania:: https://bibliotekanauki.pl/articles/1016133.pdf
Data publikacji:: 2007
Wydawca:: Polskie Towarzystwo Leśne
Tematy:: drzewostany bukowe
dendrometria
piersnicowe pole przekroju
dokladnosc pomiaru
lesnictwo
powierzchnie probne
sample plot
sampling
stand basal area
beech stand
poland
Opis:: The paper presents the results of the research on the accuracy of estimates of basal area in beech stands using sample plots. The accuracy of estimates of the analysed characteristic was evaluated on the basis of variation coefficient value of the sums of tree basal areas on sample plots. The coefficient value was empirically determined for sample plots of various size, as well as for the secondary populations differing in plot number. The research was conducted in three beech stands of age class III, IV and VI growing in the territory of the Krzeszowice Forest District.
Źródło:: Sylwan; 2007, 151, 11; 10-21
0039-7660
Pojawia się w:: Sylwan
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Określanie wybranych cech drzewostanów sosnowych z wykorzystaniem chmur punktów pozyskanych w procesie automatycznego dopasowania cyfrowych zdjęć lotniczych
Estimating selected characteristics of Scots pine stands based on point clouds derived from automatic matching of airborne images
Autorzy:: Hawryło, P.
Powiązania:: https://bibliotekanauki.pl/articles/986689.pdf
Data publikacji:: 2017
Wydawca:: Polskie Towarzystwo Leśne
Tematy:: lesnictwo
fotogrametria
zdjecia lotnicze
automatyczne dopasowanie zdjec lotniczych
chmura punktow
drzewostany sosnowe
wysokosc Loreya
pole powierzchni przekroju piersnicowego
zasobnosc drzewostanu
dokladnosc szacowania
modele predykcyjne
area−based approach
forest inventory
lorey's height
basal area
growing stock volume
Opis:: Recent research show that image−derived point clouds (IPC) can be successfully utilized in the context of estimation of selected forest parameters. However there are still some topics for further investigation in the context of using archival data. Particularly, in case of forest stands in Poland the number of such studies is limited. This study investigates the usefulness of airborne IPC for estimation of Lorey's height (H), basal area (G) and growing stock volume (V) of Scots pine stands. Additionally, the accuracy of predictive models is analyzed for images acquired in the same year as the field reference data were collected (2015) and for archival images acquired in 2012. The study was performed in Janów Lubelski Forest District (south−eastern Poland) on approximately 7,800 ha. The measurements from 94 circular plots were used as the reference data. The Area Based Approach and multiple linear regression were used to create predictive models. For each analyzed dependent variable variety of IPC characteristics were evaluated to select the most accurate predictive models. The best model for each variable was selected based on Akaike Information Criteria and RMSE. The same predictor variables were used for both years of aerial images aquisition. For models comparison the one−sided bootstrap test was used. The RMSPE for H, G and V in case of images acquired in 2015 amounted to 5.3, 16.3 and 17.3%, respectively. Analogically, the relationship between predicted and observed values (R2) amounted to 0.96, 0.47 and 0.81. The finally selected models had three, one and two predictors for H, G and V, respectively. The difference between accuracy of models based on aerial images from 2012 and 2015 was not statistically significant for all analyzed variables. The obtained results show high potential of using airborne image−derived point clouds for forest inventory activities in Scots pine dominated stands.
Źródło:: Sylwan; 2017, 161, 09; 707-714
0039-7660
Pojawia się w:: Sylwan
Dostawca treści:: Biblioteka Nauki

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