Forest Height Inversion Based on Time–Frequency RVoG Model Using Single-Baseline L-Band Sublook-InSAR Data
The interferometric synthetic aperture radar (InSAR) technique based on time–frequency (TF) analysis has great potential for mapping the forest canopy height model (CHM) at regional and global scales, as it benefits from the additional InSAR observations provided by the sublook decomposition. Meanwh...
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ftmdpi:oai:mdpi.com:/2072-4292/15/1/166/ 2023-08-20T04:08:47+02:00 Forest Height Inversion Based on Time–Frequency RVoG Model Using Single-Baseline L-Band Sublook-InSAR Data Lei Wang Yushan Zhou Gaoyun Shen Junnan Xiong Hongtao Shi agris 2022-12-28 application/pdf https://doi.org/10.3390/rs15010166 EN eng Multidisciplinary Digital Publishing Institute Forest Remote Sensing https://dx.doi.org/10.3390/rs15010166 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 15; Issue 1; Pages: 166 time–frequency (TF) analysis interferometric synthetic aperture radar (InSAR) canopy height model (CHM) temporal decorrelation Text 2022 ftmdpi https://doi.org/10.3390/rs15010166 2023-08-01T08:01:02Z The interferometric synthetic aperture radar (InSAR) technique based on time–frequency (TF) analysis has great potential for mapping the forest canopy height model (CHM) at regional and global scales, as it benefits from the additional InSAR observations provided by the sublook decomposition. Meanwhile, due to the wider swath and higher spatial resolution of single-polarization data, InSAR has a higher observation efficiency in comparison with PolInSAR. However, the accuracy of the CHM inversion obtained by the TF-InSAR method is attenuated by its inaccurate coherent scattering modeling and uncertain parameter calculation. Hence, a new approach for CHM estimation based on single-baseline InSAR data and sublook decomposition is proposed in this study. With its derivation of the coherent scattering modeling based on the scattering matrix of sublook observations, a time–frequency based random volume over ground (TF-RVoG) model is proposed to describe the relationship between the sublook coherence and the forest biophysical parameters. Then, a modified three-stage method based on the TF-RVoG model is used for CHM retrieval. Finally, the two-dimensional (2-D) ambiguous error of pure volume coherence caused by residual ground scattering and temporal decorrelation is alleviated in the complex unit circle. The performance of the proposed method was tested with airborne L-band E-SAR data at the Krycklan test site in Northern Sweden. Results show that the modified three-stage method provides a root-mean-square error (RMSE) of 5.61 m using InSAR and 14.3% improvement over the PolInSAR technique with respect to the classical three-stage inversion result. An inversion accuracy of RMSE = 2.54 m is obtained when the spatial heterogeneity of CHM is considered using the proposed method, demonstrating a noticeable improvement of 32.8% compared with results from the existing method which introduces the fixed temporal decorrelation factor. Text Northern Sweden MDPI Open Access Publishing Remote Sensing 15 1 166 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
time–frequency (TF) analysis interferometric synthetic aperture radar (InSAR) canopy height model (CHM) temporal decorrelation |
spellingShingle |
time–frequency (TF) analysis interferometric synthetic aperture radar (InSAR) canopy height model (CHM) temporal decorrelation Lei Wang Yushan Zhou Gaoyun Shen Junnan Xiong Hongtao Shi Forest Height Inversion Based on Time–Frequency RVoG Model Using Single-Baseline L-Band Sublook-InSAR Data |
topic_facet |
time–frequency (TF) analysis interferometric synthetic aperture radar (InSAR) canopy height model (CHM) temporal decorrelation |
description |
The interferometric synthetic aperture radar (InSAR) technique based on time–frequency (TF) analysis has great potential for mapping the forest canopy height model (CHM) at regional and global scales, as it benefits from the additional InSAR observations provided by the sublook decomposition. Meanwhile, due to the wider swath and higher spatial resolution of single-polarization data, InSAR has a higher observation efficiency in comparison with PolInSAR. However, the accuracy of the CHM inversion obtained by the TF-InSAR method is attenuated by its inaccurate coherent scattering modeling and uncertain parameter calculation. Hence, a new approach for CHM estimation based on single-baseline InSAR data and sublook decomposition is proposed in this study. With its derivation of the coherent scattering modeling based on the scattering matrix of sublook observations, a time–frequency based random volume over ground (TF-RVoG) model is proposed to describe the relationship between the sublook coherence and the forest biophysical parameters. Then, a modified three-stage method based on the TF-RVoG model is used for CHM retrieval. Finally, the two-dimensional (2-D) ambiguous error of pure volume coherence caused by residual ground scattering and temporal decorrelation is alleviated in the complex unit circle. The performance of the proposed method was tested with airborne L-band E-SAR data at the Krycklan test site in Northern Sweden. Results show that the modified three-stage method provides a root-mean-square error (RMSE) of 5.61 m using InSAR and 14.3% improvement over the PolInSAR technique with respect to the classical three-stage inversion result. An inversion accuracy of RMSE = 2.54 m is obtained when the spatial heterogeneity of CHM is considered using the proposed method, demonstrating a noticeable improvement of 32.8% compared with results from the existing method which introduces the fixed temporal decorrelation factor. |
format |
Text |
author |
Lei Wang Yushan Zhou Gaoyun Shen Junnan Xiong Hongtao Shi |
author_facet |
Lei Wang Yushan Zhou Gaoyun Shen Junnan Xiong Hongtao Shi |
author_sort |
Lei Wang |
title |
Forest Height Inversion Based on Time–Frequency RVoG Model Using Single-Baseline L-Band Sublook-InSAR Data |
title_short |
Forest Height Inversion Based on Time–Frequency RVoG Model Using Single-Baseline L-Band Sublook-InSAR Data |
title_full |
Forest Height Inversion Based on Time–Frequency RVoG Model Using Single-Baseline L-Band Sublook-InSAR Data |
title_fullStr |
Forest Height Inversion Based on Time–Frequency RVoG Model Using Single-Baseline L-Band Sublook-InSAR Data |
title_full_unstemmed |
Forest Height Inversion Based on Time–Frequency RVoG Model Using Single-Baseline L-Band Sublook-InSAR Data |
title_sort |
forest height inversion based on time–frequency rvog model using single-baseline l-band sublook-insar data |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2022 |
url |
https://doi.org/10.3390/rs15010166 |
op_coverage |
agris |
genre |
Northern Sweden |
genre_facet |
Northern Sweden |
op_source |
Remote Sensing; Volume 15; Issue 1; Pages: 166 |
op_relation |
Forest Remote Sensing https://dx.doi.org/10.3390/rs15010166 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs15010166 |
container_title |
Remote Sensing |
container_volume |
15 |
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166 |
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1774721282054553600 |