摘要
精确地提取地面高程和植被冠层高度,对于地形地貌、生态学等方面的研究具有重要意义。2018年12月发射的新一代全球生态系统动力学调查雷达(GEDI)为地面高程和植被冠层高度大范围精确提取提供了前所未有的机会。研究旨在利用机载激光雷达数据验证GEDI提取的地面高程和冠层高度精度,并探讨地理定位误差、地形坡度、坡向、植被覆盖度、方位角、采集时间、光束类型和不同森林类型因素对其精度的影响。结果表明:通过校正GEDI数据地理定位误差,可以明显提高其提取的地面高程和冠层高度精度;影响冠层高度提取精度最主要的因素是植被覆盖度,其次是坡度;影响地面高程提取精度的主要因素为坡向、坡度。植被覆盖度大于25%时,数据精度更高;坡度为0°—5°的缓坡地区地面高程和冠层高度精度最高。该研究结果将为GEDI数据筛选与应用提供依据。
Accurate extraction of ground elevation and vegetation canopy height is of great significance for the study of topography,ecology and so on.The new generation of Global Ecosystem Dynamics Investigation(GEDI)launched in December 2018 provides an unprecedented opportunity for accurate extraction of ground elevation and vegetation canopy height over large areas.The purpose of this paper is to verify the accuracies of ground elevation and canopy height extracted by GEDI using airborne LiDAR data,and to explore the influence of geographic positioning error,terrain slope,aspect,vegetation cover,azimuth,acquisition time,beam type and vegetation type on the estimation accuracy.The results show that the estimation accuracies of ground elevation and canopy height can be significantly improved by correcting the geolocation error of GEDI data.The main factor that affects the extraction accuracy of canopy height is vegetation cover,followed by slope;while the extraction accuracy of ground elevation is significantly affected by the aspect and slope.Additionally,the results also indicated that the estimation accuracy is high when the vegetation cover is more than 25%,and the accuracies of ground elevation and canopy height are the highest in gentle slope area with slope 0~5°.Overall,this study will provide a basis for the screening and application of GEDI data.
作者
袁鸷慧
聂胜
张合兵
王成
王宏涛
习晓环
Yuan Zhihui;Nie Sheng;Zhang Hebing;Wang Cheng;Wang Hongtao;Xi Xiaohuan(School of Surveying and Land Information Engineering,Henan Polytechnic University,Jiaozuo 454100,China;Key Laboratory of Digital Earth Science,Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China)
出处
《遥感技术与应用》
CSCD
北大核心
2022年第5期1056-1070,共15页
Remote Sensing Technology and Application
基金
国家自然科学基金项目(41901289、42071405)
广西自然科学基金创新研究团队资助项目(2019GXNSFGA245001)
高分遥感测绘应用示范系统(二期)(42-Y30B04-9001-19/21)
中国科学院青年创新促进会(2019130)资助
作者简介
袁鸷慧(1996-),女,河南安阳人,硕士研究生,主要从事激光雷达数据处理与应用研究。E-mail:211904020014@home.hpu.edu.cn;通讯作者:聂胜(1990-),男,湖南娄底人,副研究员,主要从事激光雷达植被遥感研究。E-mail:niesheng@aircas.ac.cn
