Correcciones atmosféricas relativas de imágenes de satélite: patrones invariantes y modelos atmosféricos

IF 0.3 Q4 AGRONOMY
Fernando Paz Pellat
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引用次数: 2

Abstract

To use information obtained with satellite technology reliably, it is necessary to eliminate or reduce the disruptive effects associated with the spectral information captured by sensors on space platforms. In this paper we analyze the inversion of radiative models of the atmosphere, which consists in determining the additive and multiplicative constants in each spectral band to make the necessary atmospheric corrections. The methodology proposes the use of invariant patterns of soil lines and dense vegetation for the inversion of radiative models. The results showed that, without knowledge of the atmospheric model or the type of aerosol, soil line data were relatively insufficient (low correlation) to obtain the additive and multiplicative constants of the atmospheric inversions, with problems of multiple solutions in the inversion process. Under similar conditions, the same was found for additive constants with the dense vegetation line, but for the multiplicative constants the results were favorable (R2 > 0.9). In contrast, with the knowledge of the atmospheric model and the aerosol model, estimates of additive and multiplicative constants were highly satisfactory (R2 > 0.99) in both cases. For soil line inversions, only one constraint of the two available was used. In conclusion, the use of invariant soil-line patterns allows us to establish two basic relationships to invert the radiative simulations of the atmosphere, prior to functional compaction, and field measurements can be made so that the proposed atmospheric correction process in this work can be considered in absolute and not relative terms.
卫星图像的相对大气校正:不变模式和大气模式
为了可靠地利用卫星技术获得的信息,有必要消除或减少与空间平台上传感器捕获的光谱信息相关的破坏性影响。本文分析了大气辐射模式的反演,即确定各光谱波段的加性常数和乘性常数,以进行必要的大气校正。该方法建议使用土壤线和茂密植被的不变模式进行辐射模型的反演。结果表明,在不了解大气模式或气溶胶类型的情况下,土壤线数据相对不足(相关性较低),无法获得大气逆温的加性和乘性常数,在反演过程中存在多解问题。在相同条件下,植被密集线的加性常数也具有相同的结果,而乘性常数则具有较好的结果(R2 > 0.9)。相比之下,利用大气模式和气溶胶模式的知识,对两种情况下的加性常数和乘性常数的估计是非常令人满意的(R2 > 0.99)。对于土壤线反演,仅使用两个可用约束中的一个。总之,使用不变土壤线模式使我们能够在功能压实之前建立两种基本关系来反演大气的辐射模拟,并且可以进行现场测量,从而可以绝对而不是相对地考虑本工作中提出的大气校正过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Terra Latinoamericana
Terra Latinoamericana Environmental Science-Ecology
CiteScore
1.10
自引率
0.00%
发文量
49
审稿时长
16 weeks
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