基于UAV技术和MODIS遥感数据的高寒草地盖度动态变化监测研究——以黄河源东部地区为例

发布时间：2018-03-12 10:45

本文选题：黄河源区　切入点：草地盖度　出处：《草业学报》2017年03期 　论文类型：期刊论文

【摘要】：利用黄河源东部地区野外实测样地数据和MODIS卫星遥感资料,结合农业多光谱相机(agricultural digital camera,ADC)、普通数码相机(Canon)、无人机(unmanned aerial vehicle,UAV)等设备获取的高寒草地盖度数据,构建了基于MODIS NDVI、EVI的草地盖度反演模型,比较分析了不同草地盖度监测方法的精度,确立了黄河源区草地盖度遥感监测的最优反演模型,并分析了研究区近16年草地植被盖度的动态变化。结果表明,1)MODIS NDVI与基于UAV相片计算的草地盖度间的相关性优于MODIS EVI,而MODIS EVI与ADC和Canon照片计算的草地盖度之间的相关性则优于MODIS NDVI;2)就Canon和ADC方法构建的草地盖度反演模型而言,前者精度远高于后者,普通数码相机方法更适宜于高寒草地植被盖度的估算;3)对比分析两种植被指数与Canon相机、ADC和大疆(DJI)无人机航拍(航高30和100m两种方法)相片计算的草地盖度之间的关系表明,MODIS NDVI对航高30m UAV航拍相片计算的盖度数据的响应最敏感,基于UAV航高30m的相片和NDVI构建的草地盖度反演模型最优;4)黄河源东部地区2000-2015年间草地盖度稳定不变的区域达71.46%,多分布在东南部;呈增加趋势的区域占研究区草地面积的22.01%,由西向东、由北向南增加幅度呈减少趋势;盖度减少区域零星分布在黄河源北部和南部的部分地区,仅占研究区草地面积的6.53%。
[Abstract]:Based on field field data and MODIS satellite remote sensing data in the eastern part of the Yellow River, the coverage data of alpine grassland obtained by agricultural digital camera-ADCA, ordinary digital camera Canon, unmanned aerial vehicle UAV, etc., are used to measure the coverage of alpine grassland. A grassland coverage inversion model based on MODIS NDVI is established. The accuracy of different grassland coverage monitoring methods is compared and analyzed. The optimal inversion model for remote sensing monitoring of grassland coverage in the source region of the Yellow River is established. The dynamic changes of grassland vegetation coverage in recent 16 years in the study area were analyzed. The results show that the correlation between MODIS NDVI and grassland coverage calculated based on UAV photos is better than that of MODIS EVI, while the phase between MODIS EVI and grassland coverage calculated by ADC and Canon photographs is better than that of MODIS EVI. On the other hand, the correlation is better than that of MODIS NDVI-2) in terms of the inversion model of grassland coverage constructed by Canon and ADC methods, The former is far more accurate than the latter. Comparison and Analysis of vegetation coverage between two vegetation Indexes and aerial photographs of Canon camera and DJI UAV (altitude 30 and 100m). The relationship shows that MODIS NDVI is the most sensitive to the coverage data calculated by aerial photographs taken at 30 m UAV altitude. The grassland coverage inversion model based on 30 m high of UAV and NDVI is the best one. The area with stable grassland coverage in the eastern part of the Yellow River from 2000 to 2015 is 71.46, mostly distributed in the southeast of China. The area with increasing trend accounts for 22.01% of the grassland area in the study area, and decreases from west to east, and decreases from north to south, and the decreasing area of coverage is scattered in some areas of the north and south of the source of the Yellow River, accounting for only 6.53% of the grassland area in the study area.
【作者单位】：草地农业生态系统国家重点实验室兰州大学草地农业科技学院;
【基金】：国家自然科学基金项目(31372367,31228021,41401472) 农业部公益性行业(农业)科研专项项目(201203006) 中国气象局气候变化专项项目(CCSF201603) 长江学者和创新团队发展计划(IRT13019)资助
【分类号】：S812

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