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

Oleg Antropov; Yrjö Rauste; Tuomas Häme; Jaan Praks

doi:10.1109/IGARSS.2015.7326667

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

Oleg Antropov, Yrjö Rauste, Tuomas Häme, Jaan Praks

Aalto University

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

2 Citations (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 language	English
Title of host publication	Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	3862-3865
ISBN (Electronic)	978-147997929-5, 978-1-4799-7928-8
DOIs	https://doi.org/10.1109/IGARSS.2015.7326667
Publication status	Published - 12 Nov 2015
MoE publication type	A4 Article in a conference publication
Event	IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Milano, Italy Duration: 26 Jul 2015 → 31 Jul 2015

Conference

Conference	IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015
Abbreviated title	IGARSS
Country/Territory	Italy
City	Milano
Period	26/07/15 → 31/07/15

Keywords

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

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10.1109/IGARSS.2015.7326667

Cite this

@inproceedings{4f247f07f75a4c439dbe781159b803e3,

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",

author = "Oleg Antropov and Yrj{\"o} Rauste and Tuomas H{\"a}me and Jaan Praks",

year = "2015",

month = nov,

day = "12",

doi = "10.1109/IGARSS.2015.7326667",

language = "English",

pages = "3862--3865",

booktitle = "Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

address = "United States",

note = "IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015, IGARSS ; Conference date: 26-07-2015 Through 31-07-2015",

}

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. IEEE Institute of Electrical and Electronic Engineers, 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, Oleg; Rauste, Yrjö; Häme, Tuomas et al.
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International. IEEE Institute of Electrical and Electronic Engineers, 2015. p. 3862-3865.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Combining TanDEM-X and Landsat 8 data for improved mapping of forest biomass

AU - Antropov, Oleg

AU - Rauste, Yrjö

AU - Häme, Tuomas

AU - Praks, Jaan

PY - 2015/11/12

Y1 - 2015/11/12

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).

KW - biomass

KW - forest stem volume

KW - forestry

KW - interferometric coherence

KW - satellite optical data

KW - synthetic aperture radar (SAR)

KW - tree height

U2 - 10.1109/IGARSS.2015.7326667

DO - 10.1109/IGARSS.2015.7326667

M3 - Conference article in proceedings

SP - 3862

EP - 3865

BT - Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International

PB - IEEE Institute of Electrical and Electronic Engineers

T2 - IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015

Y2 - 26 July 2015 through 31 July 2015

ER -

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

Abstract

Conference

Keywords

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