摘要：【中文】本发明公开了一种遥感辅助的湖库chl‑a浓度空间插值方法优选方法和装置，属于水质监测领域。本发明获取遥感影像，通过预处理、裁剪、chl‑a反演获取chl‑a浓度空间分布图，将其作为同步观测的真实值；然后通过对插值方法可变参数的穷尽循环取值，根据所有地面监测站点同步测量获取的chl‑a浓度值计算每种取值空间插值后的插值结果与真实值的均方差，取均方差为最小值时的空间插值方法和参数值为最终优化结果。本发明最终得到的空间插值方法和参数值更准确，通过得到的空间插值方法和参数值插值获得的chl‑a浓度数据更能真实反映湖库区域的水质状况。 【EN】The invention discloses a remote sensing assisted lake and reservoir chl-a concentration spatial interpolation method optimization method and device, and belongs to the field of water quality monitoring. The method comprises the steps of obtaining a remote sensing image, obtaining a chl-a concentration spatial distribution map through preprocessing, cutting and chl-a inversion, and taking the spatial distribution map as a true value of synchronous observation; and then, performing exhaustive cycle value taking on variable parameters by an interpolation method, calculating the mean square error of an interpolation result after spatial interpolation and a real value of each value according to chl-a concentration values obtained by synchronous measurement of all ground monitoring stations, and taking the spatial interpolation method and the parameter values when the mean square error is the minimum value as a final optimization result. The space interpolation method and the parameter value obtained finally by the invention are more accurate, and the chl-a concentration data obtained by the obtained space interpolation method and the parameter value interpolation can more truly reflect the water quality condition of the lake and reservoir area.

摘要：【中文】本发明公开了一种基于多源遥感影像的河流干涸断流监测方法和装置，属于河流监测领域，其包括：获取监测区域的多源卫星遥感影像，多源卫星遥感影像包括米级遥感影像和亚米级遥感影像；对多源卫星遥感影像进行预处理；利用米级遥感影像计算归一化水体指数，提取主干河流水体信息；基于区域河道缓冲矢量数据，反裁剪主干河流水体，获得一级疑似干涸河道；利用面向对象法基于亚米级遥感影像对一级疑似干涸河道进行分析，获得细小河流水体信息；利用细小河流水体信息反裁剪一级疑似干涸河道，获得二级疑似干涸河道。本发明可以实现对河流干涸断流情况进行全面、客观、高效、动态化监管，为河湖水环境评估、管理、保障和修复提供技术支撑。 【EN】The invention discloses a river dryout and flow break monitoring method and device based on a multi-source remote sensing image, belonging to the field of river monitoring and comprising the following steps: acquiring a multi-source satellite remote sensing image of a monitoring area, wherein the multi-source satellite remote sensing image comprises a meter-level remote sensing image and a sub-meter-level remote sensing image; preprocessing a multi-source satellite remote sensing image; calculating a normalized water body index by using the meter-level remote sensing image, and extracting the water body information of the main river; reversely cutting a trunk river water body based on the regional river channel buffer vector data to obtain a first-stage suspected dry river channel; analyzing a primary suspected dry river channel by using an object-oriented method based on a sub-meter-level remote sensing image to obtain water body information of the small river; and reversely cutting the primary suspected dry river channel by utilizing the information of the small river water body to obtain a secondary suspected dry river channel. The invention can realize comprehensive, objective, high-efficiency and dynamic supervision on the situation of dry and flow break of the river and provides technical support for evaluation, management, guarantee and restoration of the water environment of rivers and lakes.