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利用航空成像光谱学和多光谱卫星图像绘制阿拉斯加卡彻马克湾的冰川沉积物羽流图。

Leveraging airborne imaging spectroscopy and multispectral satellite imagery to map glacial sediment plumes in Kachemak Bay, Alaska.

作者信息

Hartl L, Schmitt C, Stuefer M, Jenckes J, Page B, Crawford C, Schmidt G, Yang R, Hock R

机构信息

Alaska Climate Research Center & HyLab, University of Alaska Fairbanks, Fairbanks, USA.

Institute for Interdisciplinary Mountain Research, Austrian Academy of Sciences, Innsbruck, Austria.

出版信息

J Hydrol Reg Stud. 2025 Feb;57:102121. doi: 10.1016/j.ejrh.2024.102121.

DOI:10.1016/j.ejrh.2024.102121
PMID:39895944
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11754946/
Abstract

Study Region Kachemak Bay is a fjord-type estuary in the northern Gulf of Alaska. Water quality and habitat characteristics are strongly influenced by freshwater and sediment input from multiple glacierized catchments. Study Focus We present a new method combining imaging spectroscopy from an airborne survey with Landsat and Sentinel-2 imagery to map water surface turbidity originating from glacial runoff based on spectral abundance. We compare the spectral characteristics of turbid glacial water to clear water and generate a high resolution reference map of glacial turbidity in Kachemak Bay. This informs the subsequent analysis of a homogenized, Rayleigh corrected time series of Landsat and Sentinel-2 images and seasonal patterns of turbidity. New Hydrological Insights for the Region Our results provide the most comprehensive data set on water surface turbidity in Kachemak Bay to date and improve understanding of spatial and seasonal variability of glacial turbidity in a data sparse region. July and August have the largest plumes with median sizes around 150 km , or around a quarter of Kachemak Bay. Plume sizes typically decrease with decreasing glacier runoff in September and October. We show that imaging spectroscopy aids assessments of turbid water in glacial marine catchments across scales. Leveraging high resolution spectral information allows for water color analyses that are customized to local conditions and catchment characteristics as well as scalable to wider regions.

摘要

研究区域

卡彻马克湾是阿拉斯加湾北部的一个峡湾型河口。水质和栖息地特征受到多个冰川化集水区的淡水和沉积物输入的强烈影响。

研究重点

我们提出了一种新方法,将航空测量的成像光谱与陆地卫星和哨兵 - 2 图像相结合,以基于光谱丰度绘制源自冰川径流的水面浊度图。我们将浑浊的冰川水与清澈水的光谱特征进行比较,并生成卡彻马克湾冰川浊度的高分辨率参考图。这为后续对陆地卫星和哨兵 - 2 图像的均匀化、瑞利校正时间序列以及浊度季节模式的分析提供了依据。

该区域的新水文见解

我们的结果提供了迄今为止关于卡彻马克湾水面浊度最全面的数据集,并增进了对数据稀少地区冰川浊度空间和季节变化的理解。7 月和 8 月的羽状水体最大,中位数大小约为 150 千米,约占卡彻马克湾的四分之一。9 月和 10 月,羽状水体大小通常随着冰川径流的减少而减小。我们表明,成像光谱有助于跨尺度评估冰川海洋集水区的浑浊水体。利用高分辨率光谱信息可以进行针对当地条件和集水区特征定制的水色分析,并且可以扩展到更广泛的区域。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7541/11754946/8a646de047eb/gr14.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7541/11754946/6328e6d29326/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7541/11754946/afeec67ce809/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7541/11754946/fa7972c16c14/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7541/11754946/a50e0aee1a4c/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7541/11754946/dee210357596/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7541/11754946/6d9c6051f4a9/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7541/11754946/933c8245161d/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7541/11754946/8ddede77c090/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7541/11754946/a6fe7d41c1cf/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7541/11754946/0b10de44b0ea/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7541/11754946/2260b4e9862d/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7541/11754946/517d167bfc9a/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7541/11754946/06de18f73935/gr12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7541/11754946/aa4379ee5a4d/gr13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7541/11754946/8a646de047eb/gr14.jpg

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