摘要
GF-2数据具有空间分辨率高、几何定位精度高等特点,单景影像观测幅宽可达45公里,在农业、林业等领域均具有广泛的用途。本数据集收集2017-2021年592景海南省全岛高分二号数据(GF-2 PMS)影像数据,通过可见光近红外迭代算法对数据进行大气校正,完成了2017-2021年海南省GF-2地表反射率数据的生产。并通过SONET(Sun-sky radiometer Observation NETwork)三亚站点收集的气溶胶数据,生成用于验证反演算法产品的参考地表反射率数据。结果显示,GF-2的地表反射率数据与地基实测反射率的准确度、精确度、实际统计偏差统计值检验均在标准参考线之下,本数据集具有较高的精度,可以为海南省生态监测提供了技术支撑。
With the characteristics of high spatial resolution,high geometric positioning accuracy,and a single-scene image observation width of up to 45 kilometers,GF-2 data can be widely used in agriculture,forestry and other fields.We collected Gaofen No.2 data(GF-2 PMS)image data from 592 sites in Hainan Province during 2017-2021,and carried out atmospheric correction of the data by using the visible light near-infrared iteration algorithm,so as to obtain a dataset of GF-2 surface reflectance products of Hainan Province during 2017-2021.Moreover,we used the aerosol data collected at the SoNET(Sun-sky radiometer Observation NETwork)Sanya site to generate the surface reflectance products for validating inversion algorithm products.The results show that the APU value tests of the surface reflectance product and the measured reflectance of the foundation in the GF-2 data are below the reference line(0.15ρ+0.015).It proves that this dataset of high accuracy can provide technical support for the ecological monitoring in Hainan Province.
作者
阎跃观
梁虎军
张浩
张连翀
张宏伟
崔珍珍
陈善静
YAN Yueguan;LIANG Hujun;ZHANG Hao;ZHANG Lianchong;ZHANG Hongwei;CUI Zhenzhen;CHEN Shanjing(China University of Mining&Technology,Beijing 100083,P.R.China;Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,P.R.China;Henan Polytechnic University,Jiaozuo 454003,P.R.China;Army Logistics University,Chongqing 401311,P.R.China)
基金
海南省重大科技计划项目(ZDKJ2019006)
重庆市教委科学技术研究项目(KJQN201912905)。
