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作 者:希爽[1,2,3,4] 方程格格 翁富忠 韩秀珍 杨俊[2,6] Xi Shuang;Fang Chenggege;Weng Fuzhong;Han Xiuzheng;Yang Jun(Office of Remote Sensing Application,National Satellite Meteorological Center,Beijing 100081,China;Satellite Assimilation Division,Center for Earth System Modelling and Prediction of CMA,Beijing 100081,China;Innovation Center for Fengyun Meteorological Satellite,Beijing 100081,China;Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites,China Meteorological Administration,Beijing 100081,China;Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters,Nanjing University of Information Science&Technology,Nanjing 210044,China;Chinese Academy of Meteorological Sciences,Beijing 100081,China)
机构地区:[1]国家卫星气象中心遥感室,北京100081 [2]中国气象局地球系统数值预报中心卫星资料同化室,北京100081 [3]许健民气象卫星创新中心,北京100081 [4]中国气象局中国遥感卫星辐射测量和定标重点开放实验室,北京100081 [5]南京信息工程大学气象灾害预报预警与评估协同创新中心,江苏南京210044 [6]中国气象科学研究院,北京100081
出 处:《电子技术应用》2023年第10期106-111,共6页Application of Electronic Technique
基 金:国家自然科学基金项目(41905031)。
摘 要:风云卫星对海洋环境灾害(浒苔、赤潮和溢油)的定量遥感监测业务能力需要提升。利用风云三号D星中分辨率光谱成像仪MERSI-II资料以及部分高分卫星数据,探索解决大气校正和云检测两个技术难点问题的方法,分别依据浒苔、赤潮和溢油的光谱特征,建立相关的遥感监测算法,实现对海洋浒苔、赤潮和溢油的判识,并在相应个例中取得较好的监测效果。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.
分 类 号:P407.8[天文地球—大气科学及气象学]
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