FY-3/VIRR资料积雪多阈值综合判识方法研究

Method of Snow Multi-threshold Comprehensive Discrimination with FY-3/VIRR Data

利用卫星遥感监测积雪分布相比地面观测具有明显优势,目前基于FY-3卫星数据在积雪监测方面的研究较少。借鉴现有积雪卫星遥感监测算法,研究出适用于FY-3/VIRR资料的积雪判识方法,利用归一化积雪指数和多波段综合阈值实现积雪判识,提取积雪信息生成区域二值化积雪分布图。通过实例分析验证算法有效可行,并与MODIS积雪产品MOD10及其L1B数据NDSI判识结果进行对比,说明算法判识结果良好。研究表明,FY-3卫星数据可作为积雪遥测的可靠资料来源,可延用于积雪监测与灾害预警业务系统中,促进国产卫星数据的应用与推广。

Monitoring the distribution of snow coverage via satellite remote sensing has an clear advantage over surface observation.And a few studies have been carried out about snow monitoring based on FY-3data.A snow-discriminating method applying to FY-3/VIRR data with snow-satellite remote sensing monitoring algorithm is provided which is achieved by normalized difference snow index and multi-band comprehensive threshold,and regional snow cover classification maps are extracted.This algorithm is proved to be effective and feasible by case analysis,and results＇comparisons are carried out with MODIS snow products MOD10 and its first level data identification results,which demonstrated this algorithm has dominant discriminating results.The study shows that FY-3data is a reliable source of snow telemetry and can be used in snow monitoring and disaster predictive warning service,which facilitates the application and popularization of domestic satellite.