A Review of Forest Height Inversion by PolInSAR: Theory, Advances, and Perspectives
Forests cover approximately one-third of the Earth’s land surface and constitute the core region of the carbon cycle on Earth. The paramount importance and multi-purpose applications of forest monitoring have gained widespread recognition over recent decades. Polarimetric synthetic aperture radar in...
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| Published in | Remote sensing (Basel, Switzerland) Vol. 15; no. 15; p. 3781 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Basel
MDPI AG
01.08.2023
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| Subjects | |
| Online Access | Get full text |
| ISSN | 2072-4292 2072-4292 |
| DOI | 10.3390/rs15153781 |
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| Abstract | Forests cover approximately one-third of the Earth’s land surface and constitute the core region of the carbon cycle on Earth. The paramount importance and multi-purpose applications of forest monitoring have gained widespread recognition over recent decades. Polarimetric synthetic aperture radar interferometry (PolInSAR) has been demonstrated as a promising technique to retrieve the forest height over large areas with a limited cost. This paper presents an overview of forest height inversion (FHI) techniques based on PolInSAR data. Firstly, we introduce the basic theories of PolInSAR and FHI procedures. Next, we review the established data-based algorithms for single-baseline data and describe innovative techniques related to multi-baseline data. Then, the model-based algorithms are also introduced with their corresponding forest scattering models under multiple data acquisition modes. Subsequently, a case study is presented to demonstrate the applicable scenarios and advantages of different algorithms. Model-based algorithms can provide accurate results when the scene and forest properties are well understood and the model assumptions are valid. Data-based algorithms, on the other hand, can handle complex scattering scenarios and are generally more robust to uncertainties in the input parameters. Finally, the prospect of forest height inversion was analyzed. It is our hope that this review will provide guidelines to future researchers to enhance further FHI algorithmic developments. |
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| AbstractList | Forests cover approximately one-third of the Earth’s land surface and constitute the core region of the carbon cycle on Earth. The paramount importance and multi-purpose applications of forest monitoring have gained widespread recognition over recent decades. Polarimetric synthetic aperture radar interferometry (PolInSAR) has been demonstrated as a promising technique to retrieve the forest height over large areas with a limited cost. This paper presents an overview of forest height inversion (FHI) techniques based on PolInSAR data. Firstly, we introduce the basic theories of PolInSAR and FHI procedures. Next, we review the established data-based algorithms for single-baseline data and describe innovative techniques related to multi-baseline data. Then, the model-based algorithms are also introduced with their corresponding forest scattering models under multiple data acquisition modes. Subsequently, a case study is presented to demonstrate the applicable scenarios and advantages of different algorithms. Model-based algorithms can provide accurate results when the scene and forest properties are well understood and the model assumptions are valid. Data-based algorithms, on the other hand, can handle complex scattering scenarios and are generally more robust to uncertainties in the input parameters. Finally, the prospect of forest height inversion was analyzed. It is our hope that this review will provide guidelines to future researchers to enhance further FHI algorithmic developments. |
| Audience | Academic |
| Author | Xing, Cheng Zhang, Zhanjie Yang, Jian Yin, Junjun Wang, Hongmiao |
| Author_xml | – sequence: 1 givenname: Cheng orcidid: 0000-0001-8174-077X surname: Xing fullname: Xing, Cheng – sequence: 2 givenname: Hongmiao surname: Wang fullname: Wang, Hongmiao – sequence: 3 givenname: Zhanjie surname: Zhang fullname: Zhang, Zhanjie – sequence: 4 givenname: Junjun surname: Yin fullname: Yin, Junjun – sequence: 5 givenname: Jian surname: Yang fullname: Yang, Jian |
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| CitedBy_id | crossref_primary_10_1016_j_jag_2024_103886 crossref_primary_10_3390_f15091496 crossref_primary_10_1109_TGRS_2024_3454809 crossref_primary_10_3390_drones8040119 crossref_primary_10_1109_TGRS_2025_3536630 crossref_primary_10_1109_TGRS_2024_3520387 crossref_primary_10_1016_j_rsase_2024_101358 crossref_primary_10_1109_JSTARS_2024_3410027 |
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| Snippet | Forests cover approximately one-third of the Earth’s land surface and constitute the core region of the carbon cycle on Earth. The paramount importance and... |
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| SubjectTerms | Algorithms Biomass Carbon cycle case studies China Comparative analysis Data acquisition data collection forest height inversion Forests Forests and forestry Interferometry Measurement microwave remote sensing Parameter estimation polarimetry PolInSAR Remote sensing Reviews Scattering Synthetic aperture radar Topography Trees |
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| Title | A Review of Forest Height Inversion by PolInSAR: Theory, Advances, and Perspectives |
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