Myroniuk, ViktorBilous, Andrii2018-05-152018-05-152016Myroniuk V. Combining RapidEye satellite images and forest inventory data for assesment of forest biomass / Viktor Myroniuk, Andrii Bilous // Litteris et Artibus : proceedings of the 6th International youth science forum, November 24–26, 2016, Lviv, Ukraine / Lviv Polytechnic National University. – Lviv : Lviv Polytechnic Publishing House, 2016. – P. 488–489. – Bibliography: 7 titles.https://ena.lpnu.ua/handle/ntb/41164The paper presents the results of estimation of growing stock volume and live biomass in forest stands using combination of forest inventory measurements, multispectral satellite images RapidEye and digital elevation model (DEM). In a context of classification of remote sensing data we considered two nonparametric methods – k-Nearest Neighbors (k-NN) and Random Forest (RF). We concluded that RF outperforms kNN method nevertheless both of them provide quite accurate estimation of mean value of growing volume in a range of ±5 m3·ha-1, different components of aboveground biomass - ±1–2 t·ha-1.enforestbiomassRapidEyek-NN imputationrandom forestConference Abstract488-489