Mapping Forest Thinning, Systemic and Selective Logging Operations Using Various Imaging Modes of X-Band SAR Images

Oleg Antropov; Anne Lönnqvist; Yrjö Rauste; Kimmo Kortelainen; Tuomas Häme

doi:10.1109/IGARSS47720.2021.9554477

Mapping Forest Thinning, Systemic and Selective Logging Operations Using Various Imaging Modes of X-Band SAR Images

Oleg Antropov, Anne Lönnqvist, Yrjö Rauste, Kimmo Kortelainen, Tuomas Häme

Tornator Oyj

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

Abstract

In this study, we evaluate the performance of several imaging modes of X-band satellite SAR data in mapping various forest logging operations. We use stripmap and spotlight data acquired by DLR's TanDEM-X mission and ICEYE SAR satellites. Also, the potential of InSAR coherence data is evaluated. Experiments are performed over the study site located in the central part of Finland. Reference data are represented by forest management plans and harvester logging tracking reports. Our results indicate that not only clear-cutting, but also forest thinning operations can be detected using advanced imaging modes of satellite SAR data even at X-band, primarily using high resolution imaging modes and interferometric SAR capability.

Original language	English
Title of host publication	2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	6272-6275
Number of pages	4
ISBN (Electronic)	978-1-6654-0369-6, 978-1-6654-0368-9
ISBN (Print)	978-1-6654-4762-1
DOIs	https://doi.org/10.1109/IGARSS47720.2021.9554477
Publication status	Published - 16 Jul 2021
MoE publication type	A4 Article in a conference publication
Event	IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 - Brussels, Belgium, Brussels, Belgium Duration: 11 Jul 2021 → 16 Jul 2021

Conference

Conference	IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021
Country/Territory	Belgium
City	Brussels
Period	11/07/21 → 16/07/21

Keywords

Satellites
Sensitivity
Imaging
High-resolution imaging
Forestry
Radar polarimetry
Reliability

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/IGARSS47720.2021.9554477

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Antropov, O., Lönnqvist, A., Rauste, Y., Kortelainen, K., & Häme, T. (2021). Mapping Forest Thinning, Systemic and Selective Logging Operations Using Various Imaging Modes of X-Band SAR Images. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS (pp. 6272-6275). Article 9554477 IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/IGARSS47720.2021.9554477

@inproceedings{7cba8d1115064219818e405c7ac13847,

title = "Mapping Forest Thinning, Systemic and Selective Logging Operations Using Various Imaging Modes of X-Band SAR Images",

abstract = "In this study, we evaluate the performance of several imaging modes of X-band satellite SAR data in mapping various forest logging operations. We use stripmap and spotlight data acquired by DLR's TanDEM-X mission and ICEYE SAR satellites. Also, the potential of InSAR coherence data is evaluated. Experiments are performed over the study site located in the central part of Finland. Reference data are represented by forest management plans and harvester logging tracking reports. Our results indicate that not only clear-cutting, but also forest thinning operations can be detected using advanced imaging modes of satellite SAR data even at X-band, primarily using high resolution imaging modes and interferometric SAR capability.",

keywords = "Satellites, Sensitivity, Imaging, High-resolution imaging, Forestry, Radar polarimetry, Reliability",

author = "Oleg Antropov and Anne L{\"o}nnqvist and Yrj{\"o} Rauste and Kimmo Kortelainen and Tuomas H{\"a}me",

note = "Funding Information: The research was funded by Business Finland project MUL-TICO (Autonomous Sensing using Satellites, Multicopters, Sensors and Actuators) under grant agreement 6501/31/2019. TanDEM-X data were available via TanDEM-X AO project XTI VEGE 0435. ICEYE data were provided in the frame-work of MULTICO. We thank Dr. Valentyn Tolpekin for his help in scheduling and acquiring ICEYE imagery. Publisher Copyright: {\textcopyright} 2021 IEEE; IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 ; Conference date: 11-07-2021 Through 16-07-2021",

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month = jul,

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doi = "10.1109/IGARSS47720.2021.9554477",

language = "English",

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Antropov, O , Lönnqvist, A, Rauste, Y, Kortelainen, K & Häme, T 2021, Mapping Forest Thinning, Systemic and Selective Logging Operations Using Various Imaging Modes of X-Band SAR Images. in 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS., 9554477, IEEE Institute of Electrical and Electronic Engineers, pp. 6272-6275, IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021, Brussels, Belgium, 11/07/21. https://doi.org/10.1109/IGARSS47720.2021.9554477

Mapping Forest Thinning, Systemic and Selective Logging Operations Using Various Imaging Modes of X-Band SAR Images. / Antropov, Oleg ; Lönnqvist, Anne; Rauste, Yrjö et al.
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS. IEEE Institute of Electrical and Electronic Engineers, 2021. p. 6272-6275 9554477.

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

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T1 - Mapping Forest Thinning, Systemic and Selective Logging Operations Using Various Imaging Modes of X-Band SAR Images

AU - Antropov, Oleg

AU - Lönnqvist, Anne

AU - Rauste, Yrjö

AU - Kortelainen, Kimmo

AU - Häme, Tuomas

N1 - Funding Information: The research was funded by Business Finland project MUL-TICO (Autonomous Sensing using Satellites, Multicopters, Sensors and Actuators) under grant agreement 6501/31/2019. TanDEM-X data were available via TanDEM-X AO project XTI VEGE 0435. ICEYE data were provided in the frame-work of MULTICO. We thank Dr. Valentyn Tolpekin for his help in scheduling and acquiring ICEYE imagery. Publisher Copyright: © 2021 IEEE

PY - 2021/7/16

Y1 - 2021/7/16

N2 - In this study, we evaluate the performance of several imaging modes of X-band satellite SAR data in mapping various forest logging operations. We use stripmap and spotlight data acquired by DLR's TanDEM-X mission and ICEYE SAR satellites. Also, the potential of InSAR coherence data is evaluated. Experiments are performed over the study site located in the central part of Finland. Reference data are represented by forest management plans and harvester logging tracking reports. Our results indicate that not only clear-cutting, but also forest thinning operations can be detected using advanced imaging modes of satellite SAR data even at X-band, primarily using high resolution imaging modes and interferometric SAR capability.

AB - In this study, we evaluate the performance of several imaging modes of X-band satellite SAR data in mapping various forest logging operations. We use stripmap and spotlight data acquired by DLR's TanDEM-X mission and ICEYE SAR satellites. Also, the potential of InSAR coherence data is evaluated. Experiments are performed over the study site located in the central part of Finland. Reference data are represented by forest management plans and harvester logging tracking reports. Our results indicate that not only clear-cutting, but also forest thinning operations can be detected using advanced imaging modes of satellite SAR data even at X-band, primarily using high resolution imaging modes and interferometric SAR capability.

KW - Satellites

KW - Sensitivity

KW - Imaging

KW - High-resolution imaging

KW - Forestry

KW - Radar polarimetry

KW - Reliability

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M3 - Conference article in proceedings

SN - 978-1-6654-4762-1

SP - 6272

EP - 6275

BT - 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS

PB - IEEE Institute of Electrical and Electronic Engineers

T2 - IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021

Y2 - 11 July 2021 through 16 July 2021

ER -

Antropov O , Lönnqvist A, Rauste Y, Kortelainen K, Häme T. Mapping Forest Thinning, Systemic and Selective Logging Operations Using Various Imaging Modes of X-Band SAR Images. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS. IEEE Institute of Electrical and Electronic Engineers. 2021. p. 6272-6275. 9554477 doi: 10.1109/IGARSS47720.2021.9554477

Mapping Forest Thinning, Systemic and Selective Logging Operations Using Various Imaging Modes of X-Band SAR Images

Abstract

Conference

Keywords

UN SDGs

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