摘要
为系统探究大气校正对植被覆盖度(Fractional Vegetation Cover,FVC)反演精度的影响,文章基于“高分一号”卫星遥感数据,选取了山地占比分别为18.3%(低山地场景)、99.3%(高山地场景)的两景影像作为实验对象,利用未经大气校正的表观反射率和经过大气校正得到的地表反射率分别反演FVC,量化分析大气校正对不同山地范围遥感影像FVC反演精度的影响差异。对比实验结果显示:在低山地场景下,单纯利用表观反射率数据反演FVC也能满足要求,若进行大气校正可使FVC反演精度提升0.93%;而在高山地场景中,FVC反演精度整体有所下降,其中大气校正前和校正后决定系数均下降10%以上,均方根误差均增大50%以上,大气校正可使FVC反演精度提升2.7%;总体来说,大气校正能够提升FVC反演结果的精度。研究结果为山地遥感数据大气校正的必要性提供了定量化依据,特别是高山地场景需优先实施大气校正以保障反演可靠性。
To systematically investigate the influence of atmospheric correction on Fractional Vegetation Cover(FVC)retrieval accuracy,this study utilizes two test scenes of GF-1 satellite imagery with mountain coverage ratios of 18.3%(low-mountain scenario)and 99.3%(high-mountain scenario)respectively.FVC is retrieved using apparent reflectance(without atmospheric correction)and surface reflectance(with atmospheric correction)respectively to quantitatively evaluate differential impacts of atmospheric correction across varying mountainous terrains.Comparative experiments reveal that:in low-mountain scenario,FVC retrieval using apparent reflectance remained acceptable,while atmospheric correction improves accuracy by 0.93%.In highmountain scenario,overall FVC retrieval accuracy declines significantly,with coefficient of determination decreasing over 10%and Root Mean Square Error increasing beyond 50%for both corrected/uncorrected data,though atmospheric correction still provided 2.7%accuracy improvement.The results quantitatively demonstrate that atmospheric correction consistently enhances FVC retrieval precision,particularly proving essential for highmountain areas to ensure reliability.These findings provide empirical evidence for prioritizing atmospheric correction in mountainous remote sensing applications.
作者
刘苗
赵雪纯
顾行发
占玉林
余涛
李娟
高凌寒
张世元
王章洁
LIU Miao;ZHAO Xuechun;GU Xingfa;ZHAN Yulin;YU Tao;LI Juan;GAO Linghan;ZHANG Shiyuan;WANG Zhangjie(Key Laboratory of Earth Observation of Hainan Province,Hainan Aerospace Information Research Institute;Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China;Hebei Construction Engineering Xiong'an Construction Development Co.,Ltd,Xiong'an New Area 133100,China;School of Geography and Remote Sensing,Guangzhou University,Guangzhou 510006,China;School of Remote Sensing and Information Engineering,North China Institute of Aerospace Engineering,Langfang 065000,China;Hebei Spacer Remote Sensing Information Processing and Application of Collaborative Innovation Center,Langfang 065000,China)
出处
《航天返回与遥感》
北大核心
2025年第4期116-127,共12页
Spacecraft Recovery & Remote Sensing
基金
海南省自然科学基金青年基金项目(322QN347)
高分辨率对地观测系统国家科技重大专项(30-Y60B01-9003-22/23)
国家民用空间基础设施陆地观测卫星共性应用支撑平台(2017-000052-73-01-001735)。
关键词
植被覆盖度
地表反射率
表观反射率
像元二分模型
遥感影像
fractional vegetation coverage
surface reflectance
apparent reflectance
binary pixel model
remote sensing image
