摘要
实时的牧草分布数据对指导牧民放牧有重要意义。以呼伦贝尔优然牧业有限责任公司第一牧场为研究区,构建了一套基于无人机的草地关键参量快速生产流程方法,耗时5小时22分钟完成牧场牧草分布数据获取。该方法利用固定翼无人机对牧场快速航拍,基于ODM开源库对影像进行快速拼接,基于可见光植被指数(VDVI)计算植被覆盖度,基于历史数据构建的生物量反演模型开展生物量反演。尽管精度有待验证,研究对指导天然草原临场放牧有一定现实意义。呼伦贝尔优然牧业有限责任公司第一牧场无人机数据集包括:(1)拼接后的正射影像1张,影像尺寸为94,103×56,859;(2)VDVI图1张,影像尺寸为21,754×13,188;(3)植被覆盖度(FVC)图1张,影像尺寸为21,754×13,188;(4)生物量(AGB)图1张,影像尺寸为21,754×13,188。该数据集以.shp格式存储,有16个数据文件组成,数据量为1.23 MB(压缩为1个文件,237 KB)。
Real-time forage distribution data is critical for guiding herders to graze.In this study,a method of rapidly producing key parameters for the first pasture of Hulunbuir Youran Animal Husbandry Co.,Ltd.based on unmanned aerial vehicles(UAVs)was proposed.The forage distribution data were acquired in 5 hours and 22 minutes.This method used a fixed-wing UAV to quickly acquire imagery for the pasture,mosaicked the UAV image titles based the ODM library,calculated fractional vegetation cover(FVC)based on visible-band difference vegetation index(VDVI),estimated above ground biomass(AGB)using an inversion model established based on archived quadrats.Although the accuracy needs to be verified,this research has certain practical significance for guiding on-site grazing in natural grasslands.The dataset for the first pasture of Hulunbuir Youran Animal Husbandry Co.,Ltd.includes:(1)a orthophoto map,with a size of 21,754×13,188;(2)a FVC map,with a size of 21,754×13,188;(3)a VDVI map,with a size of 21,754×13,188;(4)a AGB map,with a size of 21,754×13,188.The dataset is archived in.shp data format,consists of 16 data files with data size of 1.23 MB(Compressed to 1 file with data size of 237 KB).
作者
王东亮
Wang,D.L.(Key Laboratory of Land Surface Pattern and Simulation,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China)
出处
《全球变化数据学报（中英文）》
CSCD
2023年第4期399-405,V0399-V0405,共14页
Journal of Global Change Data & Discovery
基金
中华人民共和国科学技术部(2021YFD1300501)
中国科学院(XDA23100200)。
