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Comparison of two-dimensional multitemporal Sentinel-2 data with three-dimensional remote sensing data sources for forest inventory parameter estimation over a boreal forest

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Wittke, Samantha
dc.contributor.author Yu, Xiaowei
dc.contributor.author Karjalainen, Mika
dc.contributor.author Hyyppä, Juha
dc.contributor.author Puttonen, Eetu
dc.date.accessioned 2019-01-14T09:18:30Z
dc.date.available 2019-01-14T09:18:30Z
dc.date.issued 2018-12-06
dc.identifier.citation Wittke , S , Yu , X , Karjalainen , M , Hyyppä , J & Puttonen , E 2018 , ' Comparison of two-dimensional multitemporal Sentinel-2 data with three-dimensional remote sensing data sources for forest inventory parameter estimation over a boreal forest ' , INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION , vol. 76 , pp. 167-178 . https://doi.org/10.1016/j.jag.2018.11.009 en
dc.identifier.issn 0303-2434
dc.identifier.other PURE UUID: 0863df27-35e5-415a-9981-79a85251ede8
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/comparison-of-twodimensional-multitemporal-sentinel2-data-with-threedimensional-remote-sensing-data-sources-for-forest-inventory-parameter-estimation-over-a-boreal-forest(0863df27-35e5-415a-9981-79a85251ede8).html
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/31031453/1_s2.0_S0303243418309462_main.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/35900
dc.description.abstract National Forest Inventories (NFI) are key data and tools to better understand the role of forests in the global carbon budget. Traditionally inventories have been carried out as field work, which makes them laborious and expensive. In recent years, the development of various remote sensing techniques to improve the cost-efficiency of the NFIs has accelerated. The goal of this study is to determine the usability of open and free multitemporal multispectral satellite images from the European Space Agency's Sentinel-2 satellite constellation and to compare their usability in forest inventories against airborne laserscanning (ALS) and three-dimensional data obtained with high-resolution optical satellite images from WorldView-2 and Synthetic Aperture Radar (SAR) stereo data from TerraSAR-X. Ground reference consisted of field data collected over 74 boreal forest plots in Southern Finland in 2014 and 2016. Features utilizing both single- and multiple-date information were designed and tested for Sentinel-2 data. Due to high cloud cover, only four Sentinel-2 images were available for the multitemporal feature analysis of all reference plots within the monitoring window. Random Forest technique was used to find the best descriptive feature sets to model five forest inventory parameters (mean height, mean diameter at breast height, basal area, volume, above-ground biomass) from all input remote sensing data. The results confirmed that the higher spatial resolution input data correlated with more accurate forest inventory parameter predictions, which is in line with other results presented in literature. The addition of temporal information to the Sentinel-2 results showed limited variation in prediction accuracy between the single and multidate cases ranging from 0.45 to 1.5 percentage points, whereof mean height, basal area and aboveground biomass are lower for single date with relative RMSEs of 14.07%, 20.66% and 24.71% respectively. Diameter at breast height and volume are lower for multi date feature combination withrelative RMSEs of 18.38% and 27.21%. The results emphasize the importance of obtaining more evenly distributed data acquisitions over the growing season to fully exploit the potential of temporal features. en
dc.format.extent 167-178
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartofseries INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION en
dc.relation.ispartofseries Volume 76 en
dc.rights openAccess en
dc.subject.other Environmental Engineering en
dc.subject.other 1171 Geosciences en
dc.subject.other 117 Geography and environmental sciences en
dc.subject.other Remote sensing en
dc.title Comparison of two-dimensional multitemporal Sentinel-2 data with three-dimensional remote sensing data sources for forest inventory parameter estimation over a boreal forest en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Department of Built Environment
dc.contributor.department Finnish Geospatial Research Institute
dc.subject.keyword Sentinel-2
dc.subject.keyword 3D
dc.subject.keyword multitemporal
dc.subject.keyword Random forest
dc.subject.keyword Forest inventory
dc.subject.keyword TerraSAR-X stereo
dc.subject.keyword Worldview-2
dc.subject.keyword ALS
dc.subject.keyword Environmental Engineering
dc.subject.keyword 1171 Geosciences
dc.subject.keyword 117 Geography and environmental sciences
dc.subject.keyword Remote sensing
dc.identifier.urn URN:NBN:fi:aalto-201901141083
dc.identifier.doi 10.1016/j.jag.2018.11.009
dc.type.version publishedVersion


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