First demonstration of spaceborne L-band bistatic single-polarization single-baseline SAR interferometry on the retrieval of forest vertical structural information

IF 11.1 1区 地球科学 Q1 ENVIRONMENTAL SCIENCES
Yang Lei , Weiliang Li , Yanghai Yu , Xiaotong Liu , Jie Xu , Anmin Fu , Jie Wan , Changcheng Wang , Wenli Huang , Zixuan Qiu , Tao Li , Haiqiang Fu , Yu Liu , Jiancheng Shi
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引用次数: 0

Abstract

This paper shows the first demonstration of spaceborne L-band bistatic InSAR from the Chinese Lutan-1 mission for forest vertical structural information retrieval (in this work, namely, vertical profile, forest height, and underlying topography). With the single-polarization/baseline bistatic InSAR mode of Lutan-1, the measured few-look InSAR phase height histograms compare very well with the GEDI lidar waveforms, both capturing similar characteristics of the forest vertical structural profile. The ground finding approach based on the few-look InSAR phase height histogram is further adapted to incorporate spaceborne lidar measurements from GEDI and ICESat-2/ATLAS for more robust calibration. As for the DTM estimation, two ground finding strategies are developed: one using ample spaceborne lidar samples (with the lidar height as the feature), and the other using limited spaceborne lidar samples (with the few-look InSAR phase height standard deviation as the feature), both of which rely on the statistical model relating the underlying terrain elevation to the statistics of the few-look InSAR histogram. Then, forest height is inverted using the few-look histogram that mimics using lidar waveform to derive height metrics. The large-scale DTM and forest height mosaics of 2.74 million hectares are produced over tropical rainforest of the entire Hainan island of China. Through validation with airborne lidar data, the forest height is estimated to an accuracy of ∼5 m for tropical forest up to 45 m tall (relative error 10–15 %). The InSAR-derived DTM has a negligible bias (mean value of the radar-lidar DTM deviation) as referenced to airborne lidar DTM, with the uncertainties (median absolute deviation or MAD) being dependent on topographic surface slopes: 3 m (<2°), 4 m (2°-6°), 7 m (6°-25°), and 9 m (>25°). This approach sheds light on combining ascending/descending viewing geometries of spaceborne L-band bistatic InSAR data with single polarization/baseline (e.g. Lutan-1 and its follow-on) for large-scale wall-to-wall mapping of forest vertical structural profile, height metrics/biomass, underlying topography, as well as the changes of these forest parameters.

Abstract Image

星载l波段双基地单偏振单基线SAR干涉技术在森林垂直结构信息检索中的首次演示
本文首次展示了中国陆坦一号任务的星载l波段双基地InSAR用于森林垂直结构信息检索(即垂直剖面、森林高度和下垫地形)的演示。在Lutan-1的单偏振/基线双基地InSAR模式下,测量的少视InSAR相位高度直方图与GEDI激光雷达波形具有很好的对比,两者都捕获了森林垂直结构剖面的相似特征。基于少视InSAR相位高度直方图的地面定位方法进一步适应于结合来自GEDI和ICESat-2/ATLAS的星载激光雷达测量,以获得更强大的校准。对于DTM估计,我们开发了两种寻地策略:一种是利用充足的星载激光雷达样本(以激光雷达高度为特征),另一种是利用有限的星载激光雷达样本(以少视InSAR相位高度标准差为特征),这两种策略都依赖于将下垫地形高程与少视InSAR直方图统计数据联系起来的统计模型。然后,使用少量直方图来反转森林高度,该直方图模仿使用激光雷达波形来获得高度度量。在整个海南岛的热带雨林中产生了274万公顷的大尺度DTM和森林高度马赛克。通过机载激光雷达数据的验证,对于高达45米的热带森林,森林高度的估计精度为~ 5米(相对误差为10 - 15%)。与机载激光雷达DTM相比,insar衍生的DTM具有可忽略的偏差(雷达-激光雷达DTM偏差的平均值),其不确定性(绝对偏差中值或MAD)取决于地形表面坡度:3m (<2°),4m(2°-6°),7m(6°-25°)和9m (>25°)。该方法将星载l波段双基地InSAR数据的上升/下降观测几何图形与单极化/基线(如鲁坦1号及其后续)相结合,用于森林垂直结构剖面、高度度量/生物量、下垫地形以及这些森林参数变化的大规模墙对墙制图。
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来源期刊
Remote Sensing of Environment
Remote Sensing of Environment 环境科学-成像科学与照相技术
CiteScore
25.10
自引率
8.90%
发文量
455
审稿时长
53 days
期刊介绍: Remote Sensing of Environment (RSE) serves the Earth observation community by disseminating results on the theory, science, applications, and technology that contribute to advancing the field of remote sensing. With a thoroughly interdisciplinary approach, RSE encompasses terrestrial, oceanic, and atmospheric sensing. The journal emphasizes biophysical and quantitative approaches to remote sensing at local to global scales, covering a diverse range of applications and techniques. RSE serves as a vital platform for the exchange of knowledge and advancements in the dynamic field of remote sensing.
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