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Aboveground Forest Biomass Estimation Combining L- and P-Band SAR Acquisitions

机译:结合L波段和P波段SAR采集的地上森林生物量估算

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While considerable research has focused on using either L-band or P-band SAR (Synthetic Aperture Radar) on their own for forest biomass retrieval, the use of the two bands simultaneously to improve forest biomass retrieval remains less explored. In this paper, we make use of L- and P-band airborne SAR and in situ data measured in the field together with laser scanning data acquired over one hemi-boreal (Remningstorp) and one boreal (Krycklan) forest study area in Sweden. We fit statistical models to different combinations of topographic-corrected SAR backscatter and forest heights estimated from PolInSAR for the biomass estimation, and evaluate retrieval performance in terms of R 2 and using 10-fold cross-validation. The study shows that specific combinations of radar observables from L- and P-band lead to biomass predictions that are more accurate in comparison with single-band retrievals. The correlations and accuracies between the combinations of SAR features and aboveground biomass are consistent across the two study areas, whereas the retrieval performance varied for individual bands. P-band-based retrievals were more accurate than L-band for the hemi-boreal Remningstorp site and less accurate than L-band for the boreal Krycklan site. The aboveground biomass levels as well as the ground topography differ between the two sites. The results suggest that P-band is more sensitive to higher biomass and L-band to lower biomass forests. The forest height from PolInSAR improved the results at L-band in the higher biomass substantially, whereas no improvement was observed at P-band in both study areas. These results are relevant in the context of combining information over boreal forests from future low-frequency SAR missions such as the European Space Agency (ESA) BIOMASS mission, which will operate at P-band, and future L-band missions planned by several space agencies.
机译:尽管大量研究集中在单独使用L波段或P波段SAR(合成孔径雷达)进行森林生物量的获取,但同时探索利用两个波段来改善森林生物量的获取仍然很少。在本文中,我们利用L波段和P波段的机载SAR和现场测量的实地数据,以及在瑞典的一个半北方(Remningstorp)和一个北方(Krycklan)森林研究区获得的激光扫描数据。我们将统计模型拟合到地形校正的SAR背向散射和从PolInSAR估计的森林高度的不同组合中,以进行生物量估计,并根据R 2和10倍交叉验证评估检索性能。研究表明,从L波段和P波段可观察到的雷达的特定组合导致生物量预测比单波段检索更准确。在两个研究区域中,SAR特征与地上生物量的组合之间的相关性和准确性是一致的,而各个波段的检索性能却有所不同。对于半北方Remningstorp站点,基于P波段的取回比L波段更准确,而对于北方克雷克兰站点,基于P波段的取回精度不如L波段。两个地点之间的地上生物量水平和地面地形不同。结果表明,P带对较高生物量更敏感,L带对较低生物量森林更敏感。 PolInSAR的森林高度显着改善了较高生物量在L波段的结果,而在两个研究区的P波段均未观察到改善。这些结果在结合来自未来低频SAR任务(例如,将在P波段运行的欧洲航天局(ESA)BIOMASS任务)和未来由多个太空计划的L波段任务的北方森林的信息相结合的情况下具有重要意义。机构。

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