THE EFFECTS OF COHERENCE CALCULATION ON FOREST HEIGHT ESTIMATION USING SINC MODEL
In this paper, the effects of coherence on forest height estimation by SINC model based on Tandem-X InSAR data were explored. First, different coherence calculation methods and different window sizes were used to obtain interferometric coherence images. Then, the forest heights were obtained based o...
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Format: | Article |
Language: | English |
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Copernicus Publications
2020-08-01
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Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B1-2020/637/2020/isprs-archives-XLIII-B1-2020-637-2020.pdf |
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author | Z. Wen Z. Wen L. Zhao W. Zhang E. Chen K. Xu |
author_facet | Z. Wen Z. Wen L. Zhao W. Zhang E. Chen K. Xu |
author_sort | Z. Wen |
collection | DOAJ |
description | In this paper, the effects of coherence on forest height estimation by SINC model based on Tandem-X InSAR data were explored. First, different coherence calculation methods and different window sizes were used to obtain interferometric coherence images. Then, the forest heights were obtained based on SINC model. Finally, the estimated forest heights were validated against reference data from airborne LIDAR CHM (Canopy height model, CHM). The results showed that the coherence calculation algorithm affect the forest height inversion results with SINC model. The algorithm using only phase information for coherence calculation show better performance than the other one using both magnitude and phase information. Meanwhile, window size selecting for coherence calculation also affect the forest height estimation results. In this study, window size with 9 × 9 shows best agreement with the forest height extracted from LiDAR CHM. The R<sup>2</sup> and RMSE are 0.656 and 3.54 m, respectively. |
first_indexed | 2024-12-14T23:08:27Z |
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id | doaj.art-dd151b99e0464e95a2ea4c98d991f1a5 |
institution | Directory Open Access Journal |
issn | 1682-1750 2194-9034 |
language | English |
last_indexed | 2024-12-14T23:08:27Z |
publishDate | 2020-08-01 |
publisher | Copernicus Publications |
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series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
spelling | doaj.art-dd151b99e0464e95a2ea4c98d991f1a52022-12-21T22:44:16ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342020-08-01XLIII-B1-202063764210.5194/isprs-archives-XLIII-B1-2020-637-2020THE EFFECTS OF COHERENCE CALCULATION ON FOREST HEIGHT ESTIMATION USING SINC MODELZ. Wen0Z. Wen1L. Zhao2W. Zhang3E. Chen4K. Xu5IFRIT, Chinese Academy of Forestry, Xiangshan road, Beijing, ChinaCollege of Forestry, Southwest Forestry University, Kunming, ChinaIFRIT, Chinese Academy of Forestry, Xiangshan road, Beijing, ChinaCollege of Forestry, Southwest Forestry University, Kunming, ChinaIFRIT, Chinese Academy of Forestry, Xiangshan road, Beijing, ChinaIFRIT, Chinese Academy of Forestry, Xiangshan road, Beijing, ChinaIn this paper, the effects of coherence on forest height estimation by SINC model based on Tandem-X InSAR data were explored. First, different coherence calculation methods and different window sizes were used to obtain interferometric coherence images. Then, the forest heights were obtained based on SINC model. Finally, the estimated forest heights were validated against reference data from airborne LIDAR CHM (Canopy height model, CHM). The results showed that the coherence calculation algorithm affect the forest height inversion results with SINC model. The algorithm using only phase information for coherence calculation show better performance than the other one using both magnitude and phase information. Meanwhile, window size selecting for coherence calculation also affect the forest height estimation results. In this study, window size with 9 × 9 shows best agreement with the forest height extracted from LiDAR CHM. The R<sup>2</sup> and RMSE are 0.656 and 3.54 m, respectively.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B1-2020/637/2020/isprs-archives-XLIII-B1-2020-637-2020.pdf |
spellingShingle | Z. Wen Z. Wen L. Zhao W. Zhang E. Chen K. Xu THE EFFECTS OF COHERENCE CALCULATION ON FOREST HEIGHT ESTIMATION USING SINC MODEL The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
title | THE EFFECTS OF COHERENCE CALCULATION ON FOREST HEIGHT ESTIMATION USING SINC MODEL |
title_full | THE EFFECTS OF COHERENCE CALCULATION ON FOREST HEIGHT ESTIMATION USING SINC MODEL |
title_fullStr | THE EFFECTS OF COHERENCE CALCULATION ON FOREST HEIGHT ESTIMATION USING SINC MODEL |
title_full_unstemmed | THE EFFECTS OF COHERENCE CALCULATION ON FOREST HEIGHT ESTIMATION USING SINC MODEL |
title_short | THE EFFECTS OF COHERENCE CALCULATION ON FOREST HEIGHT ESTIMATION USING SINC MODEL |
title_sort | effects of coherence calculation on forest height estimation using sinc model |
url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B1-2020/637/2020/isprs-archives-XLIII-B1-2020-637-2020.pdf |
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