典型电厂区多源遥感定量反演的适宜性评价

Evaluation of Various Satellite Sensors for Quantitative Retrieval of Different Elements in Diverse Power Plant

关键词:  多源遥感技术  电厂选址  岸线变化监测  洪痕识别

Key words:  multi-source satellite technique  power plant site selection  coastline extraction  flood-mark identification

摘要:

[目的]探讨典型电厂厂址区各种地质要素在多源遥感监测的影像及方法选取方面的适宜性。[方法]以寿光火电厂和西北典型洪灾区(有4个电站)为例,从海岸线变化监测和洪水痕迹范围识别方面,开展适宜性评价研究。[结果]对电厂厂址尺度范围内的海岸线变化监测,在传感器类型和反演方法选取时,不同潮滩坡降分别受到影像空间分辨率、水边线高程误差和改正时的内插误差、坡度改正误差的影响,而需要选择相应合适的影像数据。在进行洪水淹没范围的提取时,遥感反演、现场调访和模拟结果对比显示,基于Landsat数据的土壤含水量法提取的洪痕及洪水淹没范围更加准确。[结论]本研究结果可为电厂选址及后期监测选取适宜的遥感数据源和相应技术方法提供参考,为工程厂址环境监测提供可靠的遥感反演理论依据。

Abstract:

[Objective] The impacts of spatiotemporal resolution of remote sensing satellite sensors were explored on the accuracy of quantitative retrieval of different elements in diverse regions.[Methods] An ability of various satellite sensors for waterline extraction and inundated area identification was evaluated in Shouguang coal-fired power plant and the northwest typical flood area.[Results] The result of shoreline change monitoring shows that tidal variations and terrain change can affect the use of remote sensing techniques for delineating coastline.In different beach slope scales,waterline heightens error,interpolation inaccuracy,inadequate sensor resolution and slope correcting error will separately play a major role.In the extraction of flood inundated area by remote sensing inversion,the soil moisture content method using Landsat data is considered more accurate in extracting of flood-mark and inundated area based on the comparative verification of the results of the field survey and simulation.[Conclusion] This study can provide reasonable remote sensing data source and the corresponding technical methods for the location selection and post monitoring of power plant,and also service the reliable theory basis of remote sensing interpretation on the environmental monitoring of engineering site.