Combining TanDEM-X and Landsat 8 data for improved mapping of forest biomass

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Abstract

In this study, we assess the potential of combining forest tree height derived from interferometric SAR data with satellite optical data for improving accuracy of forest stem volume mapping. Study site was located near the Hyytiälä forestry station in central Finland, with terrain representative of the boreal coniferous forest. As a primary interferometric data, several data takes of TanDEM-X data are used. Satellite optical data were represented by Landsat 8 image. The ground reference data were information on stand level from forest management plans. Firstly, forest tree height is estimated from TanDEM-X interfer ometric SAR coherency. Further, retrieved tree heights are combined with optical data for predicting forest stem volume using linear regression framework. Results of regression analysis performed demonstrate considerable improvement in terms of obtained accuracy figures of the combined stem volume estimation (RMSE = 34%, R2=0.57) compared with use of optical satellite data only (RMSE=40%, R2=0.43).
Original languageEnglish
Title of host publicationGeoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages3862-3865
ISBN (Electronic)978-147997929-5, 978-1-4799-7928-8
DOIs
Publication statusPublished - 12 Nov 2015
MoE publication typeA4 Article in a conference publication
EventIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Milano, Italy
Duration: 26 Jul 201531 Jul 2015

Conference

ConferenceIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015
Abbreviated titleIGARSS
CountryItaly
CityMilano
Period26/07/1531/07/15

Keywords

  • biomass
  • forest stem volume
  • forestry
  • interferometric coherence
  • satellite optical data
  • synthetic aperture radar (SAR)
  • tree height

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    Antropov, O., Rauste, Y., Häme, T., & Praks, J. (2015). Combining TanDEM-X and Landsat 8 data for improved mapping of forest biomass. In Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International (pp. 3862-3865). IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/IGARSS.2015.7326667