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首页> 外文期刊>Soil and Water Research >Creating of digital surface model and orthophoto from ASTER satellite data and their application in land/water research
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Creating of digital surface model and orthophoto from ASTER satellite data and their application in land/water research

机译:利用ASTER卫星数据创建数字表面模型和正射影像及其在土地/水研究中的应用

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摘要

Satellite data has become a commonly used information source. Landscapes components such as water, inorganic substances, vegetation, and the atmosphere may be distinguished making use of their spectral characteristics. The above mentioned components may be further divided. For example, inorganic substances may be subdivided into soil, minerals, build up areas etc. The spectral characteristics of soils are determined by moisture, humus contents, mineral composition, surface structure, and the stage of eroding processes. The development in remote sensing tends either to the data acquisition in more spectral bands or the improvement of the resolution of remote sensing data. The terra satellite ranks among new generation satellites; its orbital parameters are similar to the parameters of the Landsat system. ASTER (Advanced Spaceborn Thermal Emission and Reflection Radiometer) is one of the onboard instruments on Terra satellite and captures data in 14 spectral bands. The VNIR (Visible Near Infrared) subsystem provides 15 m spatial resolution data. Two of the VNIR subsystem telescopes enable stereoscopic data evaluation. A stereo-pair consists of 3N (nadir) and 3B (backward) images. A couple of 3N and 3B images can be used for the creation of a digital surface model (DSM) and orthophoto. This article describes the creation of DSM and orthophoto of an area located in the north-west part of the Czech Republic. Images of the area were made in years 2002 and 2005. In this work, level 1B images were used, i.e. images with radiometric and geometric corrections already applied. The model was created through the use of 21 control points selected in each scene. The standard error of co-ordinates of the control points is up to 15 m, the elevation standard error is approx. 30 m. The accuracy of the final DSM and orthophoto was tested on a set of 13 check points. The position standard error in DSM and orthophoto is approx. 15 m, i.e. just about the size of one pixel of the original data. The elevation standard error of the checkpoints is up to 40 m. The output can be used as a basis for small-scale maps. Using one scene acquired by ASTER instruments, a DSM and orthophoto covering an area of 60 × 60 km can be created.
机译:卫星数据已成为一种常用的信息源。利用其光谱特性可以区分景观成分,例如水,无机物,植被和大气。上述组件可以进一步划分。例如,无机物质可以细分为土壤,矿物质,堆积区域等。土壤的光谱特征由水分,腐殖质含量,矿物质组成,表面结构和侵蚀过程的阶段决定。遥感技术的发展趋向于在更多的光谱带中获取数据或改善遥感数据的分辨率。 terra卫星跻身于新一代卫星之列;它的轨道参数与Landsat系统的参数相似。 ASTER(先进的星载热发射和反射辐射计)是Terra卫星上的机载仪器之一,可捕获14个光谱带中的数据。 VNIR(可见光近红外)子系统提供15 m的空间分辨率数据。两个VNIR子系统望远镜可进行立体数据评估。立体声对包括3N(最低点)和3B(后退)图像。可以使用几个3N和3B图像来创建数字表面模型(DSM)和正射影像。本文介绍了DSM的创建和位于捷克共和国西北部地区的正射影像。该区域的图像是在2002年和2005年制作的。在这项工作中,使用了1B级图像,即已应用了辐射和几何校正的图像。通过在每个场景中选择21个控制点来创建模型。控制点的坐标的标准误差最大为15 m,高程标准误差为。 30米在一组13个检查点上测试了最终DSM和正射影像的准确性。 DSM和正射影像中的位置标准误差约为。 15 m,即大约原始数据一个像素的大小。检查站的高程标准误差最大为40 m。输出可以用作小比例尺地图的基础。使用ASTER仪器获得的一个场景,可以创建DSM和正射影像,覆盖60×60 km。

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