Mapping the surface properties of the Asal-Ghoubbet rift by massive inversion of the Hapke model on Pleiades multiangular images

IF 11.4 1区 地球科学 Q1 ENVIRONMENTAL SCIENCES Remote Sensing of Environment Pub Date : 2025-05-15 Epub Date: 2025-03-07 DOI:10.1016/j.rse.2025.114691
D.T. Nguyen , S. Jacquemoud , A. Lucas , S. Douté , C. Ferrari , S. Coustance , S. Marcq , A. Meygret
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Abstract

A massive inversion of the Hapke model is carried out over the Asal-Ghoubbet rift (Republic of Djibouti) using high-resolution multiangular Pleiades images. This is the first time that such an inversion is performed on Earth over an entire image, previous studies having focused on planetary surfaces. This work addresses challenges such as atmospheric and geometrical corrections of these images to produce parameter maps. The use of fast Bayesian inversion significantly reduces computation times thanks to efficient exploration of the parameter space and leads to improved prediction. The parameters of the Hapke model are also interpreted in terms of surface physical properties, thanks to field measurements. Single scattering albedo is the parameter extracted with the greatest reliability, although its validation is still difficult due to the absence of a simple formula linking it to surface reflectance. Our study reveals a close relationship between photometric roughness and single scattering albedo, indicating that accurate extraction of the former is highly dependent on values of the latter, which must be below 0.8 for reliable estimation. Finally, the correlation between phase function parameters and grain properties depends on surface type and material properties.
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通过对昴宿星团多角度图像的hake模型进行大规模反演,绘制出Asal-Ghoubbet裂谷的表面特性
利用高分辨率多角昴宿星团图像,在Asal-Ghoubbet裂谷(吉布提共和国)上进行了大规模的Hapke模型反演。这是第一次在地球上对整个图像进行这样的反演,以前的研究主要集中在行星表面。这项工作解决了这些图像的大气和几何校正等挑战,以产生参数图。由于对参数空间的有效探索,快速贝叶斯反演的使用大大减少了计算时间,并改善了预测。由于现场测量,Hapke模型的参数也可以根据表面物理特性进行解释。单散射反照率是提取的可靠性最高的参数,但由于缺乏将其与表面反射率联系起来的简单公式,其验证仍然很困难。我们的研究揭示了光度粗糙度与单次散射反照率之间的密切关系,表明前者的准确提取高度依赖于后者的值,后者必须低于0.8才能可靠估计。最后,相函数参数与晶粒性能的相关性取决于表面类型和材料性能。
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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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