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作 者:郭立峰[1] 殷世平[1] 许佳琦 于敏[1] 孙天一[3]
机构地区:[1]黑龙江省气象科学研究所,黑龙江哈尔滨150030 [2]东北农业大学,黑龙江哈尔滨150036 [3]香港中文大学,中国香港999077
出 处:《自然灾害学报》2015年第5期75-82,共8页Journal of Natural Disasters
基 金:国家软科学研究计划项目(2012GXS4B071)~~
摘 要:介绍了FY-3A/MERSI数据的基本情况,以及FY-3A/MERSI在晴空和薄云下水体的有效识别方法—(Rc2+Rg2)/(Rc1+Rg1)方案,并将之应用于2013年松花江(黑龙江省境内)和黑龙江流域的洪水水情监测。选取洪水前期、洪水高峰期、洪水下降期和洪水结束期4个时相的FY-3A/MERSI数据监测洪水水情变化,并进行水体识别及对比分析;同时,结合GIS技术按县市提取并统计洪水面积。结果表明,基于FY-3A/MERSI数据和GIS技术,能及时、准确地监测洪水水情变化。相关研究成果已在ARCGIS中建成模型,可为洪水监测业务服务。This paper described the FY- 3A/MERSI- based algorithm and (Rc2 + Rg2 )/( Rc1 + Rg1 ) ratio meth- od for water identification in sunny day and under semitransparent cloud shadow. Then, based on the FY - 3A/ MERSI data of four phases,i, e. , early stage, peak stage, decline stage and end stage of the flood along the Song- hua River Basin and Heilong River Basin in Heilongjiang Province in 2013, the method was used for water body i- dentification, submerged area and floods change, and combined with the information about land use of submerged area extracted by use of GIS, flood area was extracted and analyzed in different counties and cities. The results in- dicate that, the floods change could be monitored quickly and accurately by use of FY -3A/MERSI data and GIS. The related results have been modeled in ArcGIS, which could serve for flood monitoring.
分 类 号:P407[天文地球—大气科学及气象学]
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