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Detectability of Silvicultural Treatments in Time Series of Penetration Depth Corrected Tandem-X Phase Heights
Swedish University of Agricultural Sciences, Sweden.
Swedish University of Agricultural Sciences, Sweden.
Swedish University of Agricultural Sciences, Sweden.
Linnaeus University, Faculty of Technology, Department of Forestry and Wood Technology. Swedish University of Agricultural Sciences, Sweden. (DISA;DISA-WBT)ORCID iD: 0000-0002-7913-8592
2022 (English)In: International Geoscience and Remote Sensing Symposium (IGARSS), Volume 2022-July, IEEE (Institute of Electrical and Electronics Engineers) , 2022, Vol. 2022-July, p. 5909-5912Conference paper, Published paper (Refereed)
Abstract [en]

This study investigated the potential of utilizing time series of TanDEM-X phase heights, corrected for penetration depth, to detect silvicultural treatments in hemi-boreal forest. In total, 34 field plots with 40 m radius were used in conjunction with detailed forest management records to construct a reliable data set of treatments. The study area is situated in Remningstorp, a forest test site in southern Sweden. In the analysis, the temporal mean corrected phase heights were compared before and after a silvicultural treatment in order to quantify the effects of thinnings and clear-cuts on the phase height. As expected clear-cuts were highly distinguishable, but thinnings, while exhibiting a negative change in phase height on average, were not individually distinct from all untreated plots. Moreover, the results regarding the utility of applying penetration depth correction for the task were inconclusive. Overall, the results look very promising for using time series of phase height from TanDEM-X to map thinnings and clear-cuts, especially when several observations are available before and after the silvicultural treatment.

Place, publisher, year, edition, pages
IEEE (Institute of Electrical and Electronics Engineers) , 2022. Vol. 2022-July, p. 5909-5912
Series
IEEE International Geoscience and Remote Sensing Symposium proceedings, ISSN 2153-6996, E-ISSN 2153-7003
Keywords [en]
Time series; Boreal forests; Change detection; Clear cuts; Detectability; Field plot; Penetration depth; Silvicultural treatments; TanDEM-X; Thinnings; Times series; Forestry
National Category
Forest Science
Research subject
Technology (byts ev till Engineering), Forestry and Wood Technology
Identifiers
URN: urn:nbn:se:lnu:diva-122754DOI: 10.1109/IGARSS46834.2022.9884951Scopus ID: 2-s2.0-85141625928ISBN: 9781665427920 (print)OAI: oai:DiVA.org:lnu-122754DiVA, id: diva2:1775868
Conference
2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022, Kuala Lumpur, 17-22 July 2022
Available from: 2023-06-27 Created: 2023-06-27 Last updated: 2024-05-06Bibliographically approved

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Fransson, Johan

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