摘要
植被覆盖度(fractional vegetation cover,FVC)是衡量地表植被状况的重要指标之一。卫星遥感是获取大范围动态FVC的主要技术手段。但目前国际上并没有高分辨率的FVC标准化产品,本文利用高分一号(GF-1)宽幅相机高时空分辨率的特点,针对森林类型基于孔隙率方法、针对非森林类型基于归一化植被指数(NDVI)像元二分法生产了多源协同定量遥感产品生产与服务系统(MuSyQ)高分系列中国2018–2020年16米/10天FVC产品。本产品为中国植被遥感监测提供数据支撑。
Fractional vegetation cover(FVC)is one of the important indicators to monitor the vegetation status on the earth’s surface.Satellite remote sensing is a main method to obtain the dynamic FVC on a large scale.However,the standard high-resolution FVC product is not available worldwide.Taking advantage of the high spatial and temporal resolution of Gaofen-1,we obtained a dataset of 16m/10-day fractional vegetation cover of MuSyQ GF-series(2018–2020,China,Version 01)by using the gap probability theory for forest type and the dimidiate pixel model based on normalized difference vegetation index(NDVI).This product can provide reliable data support for vegetation monitoring in China.
作者
赵静
李静
张召星
吴善龙
仲波
柳钦火
ZHAO Jing;LI Jing;ZHANG Zhaoxing;WU Shanlong;ZHONG Bo;LIU Qinhuo(State Key Laboratory of Remote Sensing Science,Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100101,P.R.China;University of Chinese Academy of Sciences,Beijing 100049,P.R.China)
基金
国家重点研发计划(2018YFA0605503)
高分重大专项(21-Y20B02-9003-19/22)。
