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An integrated framework for Web-based visualisation of forest resources estimated from remote sensing data Cover

An integrated framework for Web-based visualisation of forest resources estimated from remote sensing data

By: Róbert Cibula and  Ivan Sačkov  
Open Access
|Aug 2020

Abstract

Advanced remote sensing technologies has recently become an effective tool for monitoring of forest ecosystems. However, there is a growing need for online dissemination of geospatial data from these activities. We developed and assessed a framework which integrates (1) an algorithm for estimation of forest stand variables based on remote sensing data and (2) a web-map application for 2D and 3D visualisation of geospatial data. The performance of proposed framework was assessed in a Forest Management Unit Vígľaš (Slovakia, Central Europe) covering a total area of 12,472 ha. The mean error of remote sensing-based estimations of forest resources reached values of 16.4%, 12.1%, –26.8%, and –35.4% for the mean height, mean diameter, volume per hectare, and trees per hectare, respectively. The web-map application is stable and allows real-time visualization of digital terrain model, aerial imagery, thematic maps used in forestry or geology, and 968,217 single trees at forest management unit level.

DOI: https://doi.org/10.2478/forj-2020-0004 | Journal eISSN: 2454-0358 | Journal ISSN: 2454-034X
Language: English
Page range: 170 - 176
Published on: Aug 24, 2020
Published by: National Forest Centre and Czech University of Life Sciences in Prague, Faculty of Forestry and Wood Sciences
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2020 Róbert Cibula, Ivan Sačkov, published by National Forest Centre and Czech University of Life Sciences in Prague, Faculty of Forestry and Wood Sciences
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.