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

O. Antropov, Y. Rauste, T. Häme, J. Praks

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

1 Citation (Scopus)

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
PublisherInstitute of Electrical and Electronic Engineers IEEE
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

Publication series

Name
ISSN (Print)2153-6996
ISSN (Electronic)2153-7003

Conference

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

Fingerprint

TanDEM-X
Landsat
biomass
stem
synthetic aperture radar
coniferous forest
boreal forest
forest management
satellite data
regression analysis
forestry

Keywords

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

Cite this

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). Institute of Electrical and Electronic Engineers IEEE. https://doi.org/10.1109/IGARSS.2015.7326667
Antropov, O. ; Rauste, Y. ; Häme, T. ; Praks, J. / Combining TanDEM-X and Landsat 8 data for improved mapping of forest biomass. Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International. Institute of Electrical and Electronic Engineers IEEE, 2015. pp. 3862-3865
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title = "Combining TanDEM-X and Landsat 8 data for improved mapping of forest biomass",
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 Hyyti{\"a}l{\"a} 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).",
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. Institute of Electrical and Electronic Engineers IEEE, pp. 3862-3865, IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015, Milano, Italy, 26/07/15. https://doi.org/10.1109/IGARSS.2015.7326667

Combining TanDEM-X and Landsat 8 data for improved mapping of forest biomass. / Antropov, O.; Rauste, Y.; Häme, T.; Praks, J.

Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International. Institute of Electrical and Electronic Engineers IEEE, 2015. p. 3862-3865.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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AU - Praks, J.

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N2 - 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).

AB - 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).

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KW - forestry

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KW - satellite optical data

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