线性混合对污染雪光谱特征的影响

Q2 Social Sciences
B. Vivek, P. K. Garg
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引用次数: 0

摘要

摘要作为当前研究的一部分,正在现场进行使用0.35至2.5µm SVC光谱辐射计的实验,以更好地了解污染如何影响光谱特性。利用光谱辐射计(0.35–2.5µm),在现场进行了研究,以确定雪污染物(如煤、灰烬、木材和土壤)与雪在污染物浓度方面的线性混合,从而模拟和理解真实世界场景的光谱响应。目前的研究有助于在线性混合的基础上绘制遥感RS数据中的雪和受污染的雪像素,并通过为未来研究选择适当的波长,在线性混合方式方面识别和区分不同类型的雪污染物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
INFLUENCE OF LINEAR MIXING ON CONTAMINATED SNOW SPECTRAL SIGNATURES
Abstract. Experiments using an SVC spectroradiometer ranging from 0.35 to 2.5 µm are being conducted in the field as part of the current research in order to gain a better understanding of how contamination affects spectral characteristics. Utilizing a spectroradiometer (0.35–2.5 µm), studies were carried out in the field to determine the linear mixing of snow pollutants (such as coal, ash, wood, and soil) with snow in terms of concentration of contaminants in order to simulate and comprehend the spectrum response of real-world scenarios. Present studies contribute to mapping snow and contaminated snow pixels in remote sensing RS data based on of linear mixing, and to identifying and discriminating between different types of snow contaminants in respect of linear mixing manner, via appropriate wavelength selections for future studies.
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来源期刊
CiteScore
1.70
自引率
0.00%
发文量
949
审稿时长
16 weeks
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