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Use of multitemporal SAR data for monitoring vegetation recovery of Mediterranean burned areas

机译:利用多时合成孔径雷达数据监测地中海烧毁地区的植被恢复

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Remote sensing in the optical band is a well-established tool for monitoring changes in forested areas, although it can suffer from limitations, especially where frequent cloud cover occurs. The increased availability of space-borne radar imagery offers additional means for assessing the state of forests and monitoring their dynamics. in this study, the potential of multi-temporal space-borne SAR data for monitoring vegetation recovery over burned areas next to the Mediterranean coast is investigated. In particular, the study considers a set of ERS-SAR images, C-band and VV polarization, taken over the Castel Fusano pinewood, located near Rome, Italy, devastated in summer 2000 by a fire that burned about 350 ha of the wood. Starting from the analysis of the information contained in the variations, both in burnt and unburnt areas, of the inter annual multitemporal backscattering signatures, the study presents two different approaches, one more qualitative, the other one more quantitative, for the retrieval of the biomass re-growth after the fire. In the quantitative case, the inversion procedure computes the biomass re-growth rate by means of simulations carried out with the Tor Vergata scattering model. The obtained results are satisfactory as they are in agreement with simultaneous analysis based on optical data and in-situ measurement campaigns.
机译:光纤带中的遥感是一种用于监视林区变化的完善工具,尽管它可能会受到限制,尤其是在经常出现云层覆盖的地方。星载雷达图像可用性的提高为评估森林状况和监测其动态提供了更多手段。在这项研究中,研究了多时空SAR数据在监测地中海沿岸燃烧地区的植被恢复方面的潜力。特别是,该研究考虑了一组ERS-SAR图像,C波段和VV极化图像,这些图像是在意大利罗马附近的卡斯泰尔·富萨诺松林上拍摄的,该松林在2000年夏季因大火烧毁了约350公顷的木材。从对年度间多时相背向散射特征变化的信息进行分析开始,研究提出了两种不同的方法,一种是定性的,另一种是定量的,用于生物量的检索。大火后重新生长。在定量情况下,反演程序通过使用Tor Vergata散射模型进行的模拟来计算生物量的再增长速率。获得的结果令人满意,因为它们与基于光学数据的同步分析和原位测量活动相吻合。

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