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表征与应用滨松C12880MA微型光谱仪进行内陆水体近表面反射率测量

Characterizing and Implementing the Hamamatsu C12880MA Mini-Spectrometer for Near-Surface Reflectance Measurements of Inland Waters.

作者信息

Jechow Andreas, Bumberger Jan, Palm Bert, Remmler Paul, Schreck Günter, Ogashawara Igor, Kiel Christine, Kohnert Katrin, Grossart Hans-Peter, Singer Gabriel A, Nejstgaard Jens C, Wollrab Sabine, Berger Stella A, Hölker Franz

机构信息

Department of Engineering, Brandenburg University of Applied Sciences, 14770 Brandenburg an der Havel, Germany.

Plankton and Microbial Ecology, Leibniz Institute of Freshwater Ecology and Inland Fisheries, 16775 Stechlin, Germany.

出版信息

Sensors (Basel). 2024 Oct 5;24(19):6445. doi: 10.3390/s24196445.

DOI:10.3390/s24196445
PMID:39409485
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11479284/
Abstract

In recent decades, inland water remote sensing has seen growing interest and very strong development. This includes improved spatial resolution, increased revisiting times, advanced multispectral sensors and recently even hyperspectral sensors. However, inland waters are more challenging than oceanic waters due to their higher complexity of optically active constituents and stronger adjacency effects due to their small size and nearby vegetation and built structures. Thus, bio-optical modeling of inland waters requires higher ground-truthing efforts. Large-scale ground-based sensor networks that are robust, self-sufficient, non-maintenance-intensive and low-cost could assist this otherwise labor-intensive task. Furthermore, most existing sensor systems are rather expensive, precluding their employability. Recently, low-cost mini-spectrometers have become widely available, which could potentially solve this issue. In this study, we analyze the characteristics of such a mini-spectrometer, the Hamamatsu C12880MA, and test it regarding its application in measuring water-leaving radiance near the surface. Overall, the measurements performed in the laboratory and in the field show that the system is very suitable for the targeted application.

摘要

近几十年来,内陆水体遥感受到越来越多的关注并得到了非常强劲的发展。这包括提高空间分辨率、增加重访次数、先进的多光谱传感器,以及最近甚至出现的高光谱传感器。然而,内陆水体比海洋水体更具挑战性,因为其光学活性成分的复杂性更高,且由于其面积小以及附近的植被和建筑结构,邻接效应更强。因此,内陆水体的生物光学建模需要更高的地面实况调查工作。强大、自给自足、无需大量维护且低成本的大规模地面传感器网络可以协助完成这项原本劳动密集型的任务。此外,大多数现有的传感器系统相当昂贵,限制了它们的实用性。最近,低成本的微型光谱仪已广泛可得,这有可能解决这个问题。在本研究中,我们分析了这种微型光谱仪(滨松C12880MA)的特性,并测试了其在测量近地表离水辐射方面的应用。总体而言,在实验室和实地进行的测量表明,该系统非常适合目标应用。

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本文引用的文献

1
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HardwareX. 2024 Apr 18;18:e00530. doi: 10.1016/j.ohx.2024.e00530. eCollection 2024 Jun.
2
OSpRad: an open-source, low-cost, high-sensitivity spectroradiometer.OSpRad:一款开源、低成本、高灵敏度的光谱辐射计。
J Exp Biol. 2023 Jul 1;226(13). doi: 10.1242/jeb.245416. Epub 2023 Jul 12.
3
Design and implementation of an illumination system to mimic skyglow at ecosystem level in a large-scale lake enclosure facility.
在大型湖泊围隔设施中,设计并实现一个能在生态系统层面模拟天空光的照明系统。
Sci Rep. 2021 Dec 6;11(1):23478. doi: 10.1038/s41598-021-02772-4.
4
Detecting Climate Driven Changes in Chlorophyll-a Using High Frequency Monitoring: The Impact of the 2019 European Heatwave in Three Contrasting Aquatic Systems.利用高频监测探测叶绿素-a 变化:2019 年欧洲热浪对三个不同水生系统的影响。
Sensors (Basel). 2021 Sep 17;21(18):6242. doi: 10.3390/s21186242.
5
The Instrument Design of the DLR Earth Sensing Imaging Spectrometer (DESIS).德国航空航天中心地球传感成像光谱仪(DESIS)的仪器设计。
Sensors (Basel). 2019 Apr 4;19(7):1622. doi: 10.3390/s19071622.
6
Smartphone Spectrometers.智能手机光谱仪。
Sensors (Basel). 2018 Jan 14;18(1):223. doi: 10.3390/s18010223.
7
Ground Based Ultraviolet Remote Sensing of Volcanic Gas Plumes.基于地面的火山气体羽流紫外线遥感
Sensors (Basel). 2008 Mar 10;8(3):1559-1574. doi: 10.3390/s8031559.
8
Automatic High Frequency Monitoring for Improved Lake and Reservoir Management.自动高频监测,改善湖泊和水库管理。
Environ Sci Technol. 2016 Oct 18;50(20):10780-10794. doi: 10.1021/acs.est.6b01604. Epub 2016 Sep 29.
9
A Mobile and Low-Cost System for Environmental Monitoring: A Case Study.一种用于环境监测的移动低成本系统:案例研究
Sensors (Basel). 2016 May 17;16(5):710. doi: 10.3390/s16050710.
10
Characterization of a field spectroradiometer for unattended vegetation monitoring. Key sensor models and impacts on reflectance.用于无人值守植被监测的野外光谱辐射仪的特性。关键传感器模型及其对反射率的影响。
Sensors (Basel). 2015 Feb 11;15(2):4154-75. doi: 10.3390/s150204154.