水文监测与建模的遥感数据与信息

R. Khanbilvardi, T. Lakhankar, N. Krakauer, Rouzbeh Nazari, A. Powell
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引用次数: 0

摘要

遥感数据和信息在为水资源应用的分布式水文模型提供适当尺度的相关空间数据和参数方面显示出巨大潜力。与通常由点测量表示的许多传统数据相比,基于遥感的测量是像素上的空间平均值,适合分布式水文模型。此外,遥感能够从数据通常稀少的偏远地区获取数据。遥感技术利用物体反射或发射的不同辐射波长范围内的电磁波谱。虽然遥感光谱范围从0.03 nm到100 cm不等,但在水文参数的检索中,通常使用可见光、红外和微波光谱。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Remote Sensing Data and Information for Hydrological Monitoring and Modeling
Remote sensing data and information are shown great potential in supplying relevant spatial data and parameters at the appropriate scale for use in distributed hydrological models for water resource applications. In contrast with many conventional data normally represented by point measurements, remote sensing based measurements are spatially averages over the pixels can appropriate for distributed hydrological model. Furthermore, remote sensing enables data access from remote areas, where data are typically sparse. Remote sensing technology used electromagnetic spectrum in the range of wavelengths of different radiations reflected or emitted by objects. Although remote sensing spectrum varies from 0.03 nm to 100 cm, visible, infrared and microwave spectrum is commonly used in retrieval of hydrological parameters.
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