Interferometric SAR coherence models for characterization of hemiboreal forests using TanDEM-X data

Aire Olesk (Corresponding Author), Jaan Praks, Oleg Antropov, Karlis Zalite, Tauri Arumäe, Kaupo Voormansik

Research output: Contribution to journalArticleScientificpeer-review

21 Citations (Scopus)

Abstract

In this study, four models describing the interferometric coherence of the forest vegetation layer are proposed and compared with the TanDEM-X data. Our focus is on developing tools for hemiboreal forest height estimation from single-pol interferometric SAR measurements, suitable for wide area forest mapping with limited a priori information. The multi-temporal set of 19 TanDEM-X interferometric pairs and the 90th percentile forest height maps are derived from Airborne LiDAR Scanning (ALS), covering an area of 2211 ha of forests over Estonia. Three semi-empirical models along with the Random Volume over Ground (RVoG) model are examined for applicable parameter ranges and model performance under various conditions for over 3000 forest stands. This study shows that all four models performed well in describing the relationship between forest height and interferometric coherence. Use of an advanced model with multiple parameters is not always justified when modeling the volume decorrelation in the boreal and hemiboreal forests. The proposed set of semi-empirical models, show higher robustness compared to a more advanced RVoG model under a range of seasonal and environmental conditions during data acquisition. We also examine the dynamic range of parameters that different models can take and propose optimal conditions for forest stand height inversion for operationally-feasible scenarios.
Original languageEnglish
Article number700
JournalRemote Sensing
Volume8
Issue number9
DOIs
Publication statusPublished - 2016
MoE publication typeA1 Journal article-refereed

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TanDEM-X
synthetic aperture radar
data acquisition
environmental conditions

Keywords

  • forest height
  • radar interferometry
  • Synthetic Aperture Radar (SAR)
  • TanDEM-X
  • vegetation mapping
  • X-band
  • InSAR
  • semi-empirical models
  • coherence
  • LiDAR

Cite this

Olesk, A., Praks, J., Antropov, O., Zalite, K., Arumäe, T., & Voormansik, K. (2016). Interferometric SAR coherence models for characterization of hemiboreal forests using TanDEM-X data. Remote Sensing, 8(9), [700]. https://doi.org/10.3390/rs8090700
Olesk, Aire ; Praks, Jaan ; Antropov, Oleg ; Zalite, Karlis ; Arumäe, Tauri ; Voormansik, Kaupo. / Interferometric SAR coherence models for characterization of hemiboreal forests using TanDEM-X data. In: Remote Sensing. 2016 ; Vol. 8, No. 9.
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title = "Interferometric SAR coherence models for characterization of hemiboreal forests using TanDEM-X data",
abstract = "In this study, four models describing the interferometric coherence of the forest vegetation layer are proposed and compared with the TanDEM-X data. Our focus is on developing tools for hemiboreal forest height estimation from single-pol interferometric SAR measurements, suitable for wide area forest mapping with limited a priori information. The multi-temporal set of 19 TanDEM-X interferometric pairs and the 90th percentile forest height maps are derived from Airborne LiDAR Scanning (ALS), covering an area of 2211 ha of forests over Estonia. Three semi-empirical models along with the Random Volume over Ground (RVoG) model are examined for applicable parameter ranges and model performance under various conditions for over 3000 forest stands. This study shows that all four models performed well in describing the relationship between forest height and interferometric coherence. Use of an advanced model with multiple parameters is not always justified when modeling the volume decorrelation in the boreal and hemiboreal forests. The proposed set of semi-empirical models, show higher robustness compared to a more advanced RVoG model under a range of seasonal and environmental conditions during data acquisition. We also examine the dynamic range of parameters that different models can take and propose optimal conditions for forest stand height inversion for operationally-feasible scenarios.",
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author = "Aire Olesk and Jaan Praks and Oleg Antropov and Karlis Zalite and Tauri Arum{\"a}e and Kaupo Voormansik",
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Olesk, A, Praks, J, Antropov, O, Zalite, K, Arumäe, T & Voormansik, K 2016, 'Interferometric SAR coherence models for characterization of hemiboreal forests using TanDEM-X data', Remote Sensing, vol. 8, no. 9, 700. https://doi.org/10.3390/rs8090700

Interferometric SAR coherence models for characterization of hemiboreal forests using TanDEM-X data. / Olesk, Aire (Corresponding Author); Praks, Jaan; Antropov, Oleg; Zalite, Karlis; Arumäe, Tauri; Voormansik, Kaupo.

In: Remote Sensing, Vol. 8, No. 9, 700, 2016.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Interferometric SAR coherence models for characterization of hemiboreal forests using TanDEM-X data

AU - Olesk, Aire

AU - Praks, Jaan

AU - Antropov, Oleg

AU - Zalite, Karlis

AU - Arumäe, Tauri

AU - Voormansik, Kaupo

PY - 2016

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AB - In this study, four models describing the interferometric coherence of the forest vegetation layer are proposed and compared with the TanDEM-X data. Our focus is on developing tools for hemiboreal forest height estimation from single-pol interferometric SAR measurements, suitable for wide area forest mapping with limited a priori information. The multi-temporal set of 19 TanDEM-X interferometric pairs and the 90th percentile forest height maps are derived from Airborne LiDAR Scanning (ALS), covering an area of 2211 ha of forests over Estonia. Three semi-empirical models along with the Random Volume over Ground (RVoG) model are examined for applicable parameter ranges and model performance under various conditions for over 3000 forest stands. This study shows that all four models performed well in describing the relationship between forest height and interferometric coherence. Use of an advanced model with multiple parameters is not always justified when modeling the volume decorrelation in the boreal and hemiboreal forests. The proposed set of semi-empirical models, show higher robustness compared to a more advanced RVoG model under a range of seasonal and environmental conditions during data acquisition. We also examine the dynamic range of parameters that different models can take and propose optimal conditions for forest stand height inversion for operationally-feasible scenarios.

KW - forest height

KW - radar interferometry

KW - Synthetic Aperture Radar (SAR)

KW - TanDEM-X

KW - vegetation mapping

KW - X-band

KW - InSAR

KW - semi-empirical models

KW - coherence

KW - LiDAR

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DO - 10.3390/rs8090700

M3 - Article

VL - 8

JO - Remote Sensing

JF - Remote Sensing

SN - 2072-4292

IS - 9

M1 - 700

ER -