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中文摘要: 在全球环境变化的背景下,区域及全球尺度地表参数和能量循环的研究中迫切需要大范围、高精度的观测数据。随着遥感技术的迅速发展,遥感已经具备在全球尺度上精确监测地球系统中诸多要素的能力。特别是星载微波遥感系统,具备全天时、全天候的观测能力,且对多种地表要素特性十分敏感,已广泛应用在全球积雪、土壤水分与植被等地表要素的监测和定量反演之中。精确的微波机理模型是理解遥感观测、发展遥感反演算法以及提高数据同化系统中观测算子精度的基础和关键。近30年来,研究人员基于电磁辐射和散射理论及微波辐射传输方程,针对不同传感器参数特性进行了大量卓有成效的研究,建立了从单散射体、随机粗糙表面到积雪、植被等典型地物的微波散射、辐射机理模型,广泛应用于微波观测模拟和反演。文章对这一系列微波机理模型的研究进展进行了系统的介绍和评述。随着遥感数据的不断丰富和遥感建模及反演理论的深入发展,包括微波遥感在内的遥感手段将为地球系统的研究及应用发挥更为重要的作用。
中文关键词: 微波遥感,理论模型土壤水分,植被,积雪
Abstract:In the context of the global environment changes, highly accurate observations on the earth surface are urgently needed for the studies of the water, carbon, and energy cycles at the regional and global scales. As the rapid development of remote sensing techniques, remote sensing has achieved the capacity of monitoring many factors of the Earth land surface. Especially for the space-borne microwave remote sensing systems, they have been widely used in the quantitative monitoring of global snow, soil moisture, and vegetation parameters with their all-weather, all-time observation capabilities and their sensitivities to the characteristics of land surface factors. Accurate microwave physical models are essential for the understanding of the remote sensing observations, the development of the inversion algorithm and the improvement of the observation operator in the data assimilation systems. Based on the electromagnetic theories and microwave radiative transfer equations, researchers have achieved great successes in the microwave remote sensing fields in the recent thirty years and established theoretical scattering and emission models for a wide range of observation targets and land features, such as the single scatterers, rough surfaces, snow, and vegetation. This article systematically reviews the progresses on the microwave theoretical modelling. As the further enrichment of remote sensing datasets and the development of remote sensing theories and inversion techniques, remote sensing including microwave remote sensing will play a more important role in the studies and applications of the Earth systems.
keywords: microwave remote sensing, theoretical model, soil moisture, vegetation, snow author introduction
文章编号: 中图分类号: 文献标志码:
基金项目:
Author Name | Affiliation |
Shi Jiancheng | The Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China |
引用文本:
施建成.微波遥感机理模型研究进展[J].中国科学院院刊,2013,(z1):77-83.
Shi Jiancheng.The Progresses of the Theoretical Models for Microwave Remote Sensing[J].Bulletin of Chinese Academy of Sciences,2013,(z1):77-83.
施建成.微波遥感机理模型研究进展[J].中国科学院院刊,2013,(z1):77-83.
Shi Jiancheng.The Progresses of the Theoretical Models for Microwave Remote Sensing[J].Bulletin of Chinese Academy of Sciences,2013,(z1):77-83.