首页> 外文期刊>Geoscience and Remote Sensing, IEEE Transactions on >Forest Modeling For Height Inversion Using Single-Baseline InSAR/Pol-InSAR Data
【24h】

Forest Modeling For Height Inversion Using Single-Baseline InSAR/Pol-InSAR Data

机译:使用单基线InSAR / Pol-InSAR数据进行高度反演的森林建模

获取原文
获取原文并翻译 | 示例

摘要

The Random Volume over Ground (RVoG) model has been extensively applied to polarimetric synthetic aperture radar interferometry (Pol-InSAR) data for forest height inversion. The model assumes forest as a homogeneous volume of randomly oriented particles characterized by a constant extinction but does not take into account the forest vertical heterogeneity, to which interferometric coherence is sensitive. In order to integrate vertical heterogeneity in forest models, two complementary models, which take into consideration the forest natural structure, are investigated through analysis of volume interferometric coherence. The first model assumes a vertically varying extinction in the volume layer, and the second model considers predominant contributions localized in a finite height interval, modeled as a Gaussian-distributed backscatter. The two forest models are compared with constant extinction RVoG in the coherence and interferometric phase aspects. Finally, the contribution of these new models for forest height inversion using the Pol-InSAR technique is discussed in the context of a two-layer ground + canopy medium.
机译:地面随机体积(RVoG)模型已广泛应用于极化合成孔径雷达干涉测量(Pol-InSAR)数据,以进行森林高度反演。该模型假设森林是均匀分布的随机定向的颗粒,其特征是恒定灭绝,但没有考虑到干涉垂直相干性敏感的森林垂直异质性。为了将垂直异质性整合到森林模型中,通过分析体积干涉相干性,研究了两个考虑森林自然结构的互补模型。第一个模型假定体层中垂直消光,而第二个模型则考虑了以有限的高度间隔分布的主要贡献,建模为高斯分布的反向散射。在相干和干涉相方面,将这两种森林模型与恒定消光RVoG进行了比较。最后,在两层地面+树冠介质的背景下,讨论了使用Pol-InSAR技术对森林高度反演的这些新模型的贡献。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号