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Ditemukan 3 dari pencarian Anda melalui kata kunci: subject="Forest inventory"
cover
Spatial patterns of biomass change across Finland in 2009–2015
Komentar Bagikan
Sakari TuominenMarkus HaakanaJuha HeikkinenMikko PeltoniemiAleksi Lehtonen

Forest characteristics vary largely at the regional level and in smaller geographic areas in Finland. The amount of greenhouse gas emissions is related to changes in biomass and the soil type (e.g. upland soils vs. peatlands). In this paper, estimating and explaining spatial patterns of tree biomass change across Finland was the main interest. We analysed biomass changes on different soil and s…

Edisi
Vol.8, April 2023
ISBN/ISSN
1872-8235
Deskripsi Fisik
12 hlm PDF, 9.478 KB
Judul Seri
ISPRS Open Journal of Photogrammetry and Remote Sensing
No. Panggil
621.3678
cover
Assessment of camera focal length influence on canopy reconstruction quality
Komentar Bagikan
Teja KattenbornJulian FreyMartin DenterHolger WeinackerThomas SeifertBarbara Koch

Unoccupied aerial vehicles (UAV) with RGB-cameras are affordable and versatile devices for the generation of a series of remote sensing products that can be used for forest inventory tasks, such as creating high-resolution orthomosaics and canopy height models. The latter may serve purposes including tree species identification, forest damage assessments, canopy height or timber stock assessmen…

Edisi
Vol.6, December 2022
ISBN/ISSN
1872-8235
Deskripsi Fisik
8 hlm PDF, 10.100 KB
Judul Seri
ISPRS Open Journal of Photogrammetry and Remote Sensing
No. Panggil
621.3678
cover
Comparison of neural networks and k-nearest neighbors methods in forest stand…
Komentar Bagikan
Andras BalazsEero LiskiSakari TuominenAnnika Kangas

In the remote sensing of forests, point cloud data from airborne laser scanning contains high-value information for predicting the volume of growing stock and the size of trees. At the same time, laser scanning data allows a very high number of potential features that can be extracted from the point cloud data for predicting the forest variables. In some methods, the features are first extracte…

Edisi
Vol.4, April 2022
ISBN/ISSN
1872-8235
Deskripsi Fisik
17 hlm PDF, 13.215 KB
Judul Seri
ISPRS Open Journal of Photogrammetry and Remote Sensing
No. Panggil
621.3678