Impact of topographic correction on high spectral resolution MODIS sensor satellite imagery of Himalayan region

Sartajvir Singh, R. Talwar
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引用次数: 1

Abstract

Remote sensing provides the facility of acquisition of data associated with Earth's surface to observe regular changes. An important characteristic of imaging sensor is resolution which is classified in four different ways: (a) spatial; (b) spectral; (c) radiometric; and (d) temporal. During recent decades, the emergence of multispectral sensors provides the data with enlarged quantity of spectral bands and change in different spectra often correspond to alterations in some vital surface physical parameters. The higher spectral resolution Moderate Resolution Imaging Spectroradiometer (MODIS) sensor delivers data in 36 different spectral bands at three different spatial resolution to enhance the applications of remote sensing. Additionally, MODIS sensor has great temporal resolution which helps in updating of information on nearly daily basis. Beforehand to any application, various pre-processing procedures must be implemented to the remote sensed imagery to enhance different appropriate features. In case of undulating region imagery, it is important to eliminate the topographic effects such as shadowing, which generally, found in the remotely sensed images acquired from Himalayan region. From this perspective, this paper involves the analysis of impact of topographic correction on multispectral MODIS sensor data of Himalayan region. In the referred study, the base map of study area was derived from Himalayan region in which recover the information is problematic due to presence of topographic effects. Experiment conclusions confirmed that topographic corrections are significant in attaining a better quantification and understanding of a wide variety of procedure occurring in atmosphere and on the Earth surface. Moreover, extensive field investigation beyond that covered in this work is mandatory to assess the exact extent of the impact of the different spectral bands of different satellite sensors on topographic corrections.
地形校正对喜马拉雅地区高光谱分辨率MODIS遥感卫星影像的影响
遥感提供了获取与地球表面有关的数据以观察规律性变化的工具。成像传感器的一个重要特征是分辨率,它分为四种不同的方式:(a)空间分辨率;(b)光谱;(c)放射;(d)暂时的。近几十年来,多光谱传感器的出现为数据提供了更多的光谱波段,不同光谱的变化往往对应着一些重要的地表物理参数的变化。更高光谱分辨率的中分辨率成像光谱仪(MODIS)传感器在3种不同的空间分辨率下提供36个不同光谱波段的数据,以增强遥感应用。此外,MODIS传感器具有很高的时间分辨率,这有助于几乎每天更新信息。在应用之前,必须对遥感图像进行各种预处理程序,以增强不同的适当特征。对于起伏地区的遥感图像,消除喜马拉雅地区遥感图像中常见的阴影等地形影响是非常重要的。从这个角度出发,本文分析了地形校正对喜马拉雅地区多光谱MODIS传感器数据的影响。本研究的研究区底图来源于喜马拉雅地区,由于地形的影响,信息的恢复存在问题。实验结论证实,地形校正对于更好地量化和理解发生在大气和地球表面的各种过程具有重要意义。此外,为了评估不同卫星传感器的不同光谱波段对地形校正的确切影响程度,除了本工作所涵盖的范围之外,还必须进行广泛的实地调查。
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