中圖分類號(hào)：P407.8 文獻(xiàn)標(biāo)志碼：A DOI: 10.16157/j.issn.0258-7998.233856 中文引用格式： 希爽,，方程格格，翁富忠,，等. 風(fēng)云三號(hào)衛(wèi)星監(jiān)測(cè)海洋滸苔,、赤潮和溢油[J]. 電子技術(shù)應(yīng)用，2023,，49(10)：106-111. 英文引用格式： Xi Shuang,，F(xiàn)ang Chenggege，Weng Fuzhong,，et al. Ulva prolifera,，red tide and oil spill remote sensing monitoring using FY-3 satellite[J]. Application of Electronic Technique，2023,，49(10)：106-111.
Ulva prolifera,，red tide and oil spill remote sensing monitoring using FY-3 satellite
Xi Shuang1，2,，3,，4，F(xiàn)ang Chenggege2,，5,，Weng Fuzhong2，6,，Han Xiuzheng1,，3，4,，Yang Jun2,，6
(1.Office of Remote Sensing Application， National Satellite Meteorological Center,， Beijing 100081， China,； 2.Satellite Assimilation Division,，Center for Earth System Modelling and Prediction of CMA， Beijing 100081,， China,； 3.Innovation Center for Fengyun Meteorological Satellite ,， Beijing 100081， China,； 4.Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites,， China Meteorological Administration， Beijing 100081,， China,；5.Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters， Nanjing University of Information Science & Technology,， Nanjing 210044,， China； 6.Chinese Academy of Meteorological Sciences,， Beijing 100081,， China)
Abstract： The quantitative remote sensing monitoring of Fengyun satellite for Marine environmental disasters (ulva prolifera, red tide and oil spill) should to be improved. This paper uses the MERSI data of FY-3D satellite data, as well as some high-resolution satellite data,to explore methods to solve the two technical difficulties of atmospheric correction and cloud detection. Based on the spectral characteristics of ulva prolifera, red tide and oil spill, relevant monitoring algorithms were established for identifications of ulva prolifera, red tide and oil spill, and there were good monitoring performances in corresponding cases.
