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遥感技术能被用于大尺度作物化学喷药效果检测,这为精准农业航空施药发展提供了重要的技术支撑。利用M-18B农用飞机在4米的飞行高度喷施化学农药混合剂(杀菌剂和植物生长调节剂),去控制水稻爆发性疾病--叶片纹枯病和促进水稻植株的生长。施药一周后,喷药区的卫星影像被获取并计算植被指数,同时采集了地面化学农药的药液沉积量。分析了药液雾滴沉积量和植被指数的关系,结果显示,单相光谱特征(NDVI)和液滴沉积点密度(DDPD点·cm~(-2))的相关系数是0.315,p-value为0.035;时间变化特征(MSAVI)和液滴沉积体积密度(DDVDμL·cm~(-2))之间的相关系数是0.312,p-value为0.038。另外,水稻生长活力最旺盛的范围都出现在喷洒区域内,植株活力随着药液漂移距离的增加逐步减少。同时,相同的变化趋势也出现在雾滴沉积量与光谱特征的空间变化插值图中。由此得知,从卫星图像中计算的植被指数NDVI和MSAVI,可以用来评估大尺度农田的农用航空药液喷洒效果。
Remote sensing technology can be used for large-scale detection of crop chemical spraying effect, which provides important technical support for the development of precision agricultural aviation application. Chemical pesticide mixes (fungicides and plant growth regulators) were sprayed on M-18B agricultural aircraft at altitudes of 4 meters to control rice leaf blight and to promote rice plant growth. One week after application, the satellite image of the spray area was acquired and the vegetation index calculated, along with the amount of liquid chemical deposited on the surface chemical pesticides. The relationship between the droplet deposition and the vegetation index was analyzed. The results showed that the correlation coefficient between single-phase spectral characteristics (NDVI) and droplet deposition point density (DDPD point · cm -2) was 0.315, p-value Was 0.035. The correlation coefficient between time-varying characteristics (MSAVI) and droplet deposition bulk density (DDVDμL · cm -2) was 0.312 and p-value was 0.038. In addition, the most vigorous range of rice growth appeared in the spraying area, plant vitality decreased gradually with the increase of liquid drifting distance. At the same time, the same trend of variation also appears in the spatial variation interpolation plot of droplet deposition and spectral features. From this we know that the vegetation indices NDVI and MSAVI computed from satellite images can be used to assess the effectiveness of agricultural aerosol spray on large-scale farmland.