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首页> 外文期刊>New Zealand journal of agricultural research >Estimating grassland yields using remote sensing and GIS technologies in China
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Estimating grassland yields using remote sensing and GIS technologies in China

机译:利用遥感和GIS技术估算草地单产

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Abstract From green herbage yield, environment, and remote sensing (RS) data recorded in different grassland types in Fukang County, Xinjiang from 1991 to 1996, correlation analyses and grassland yield estimates were obtained using remote sensing and geographic information system (GIS) technologies. Methods of processing images, analysing information, and linking of remote sensing data with ground grassland data were explored. Results showed correlation between fresh herbage yields and ratio vegetation index (RVI) and normalised difference vegetation index (NDVI) (P < 0.01) in four grassland types with correlation coefficient (r) >0.679. Fresh herbage yields correlated better with RVI than with NDVI for lowland meadow, hill desert steppe, and mountain meadow, but not for plains desert steppe. Optimum non‐linear models for estimating yield were selected from six curves, and estimated total yields were verified by ground truth large‐plot investigations and statistical analyses. The effects of estimating gre...
机译:摘要根据1991年至1996年新疆阜康县不同草地类型的绿色牧草产量,环境和遥感数据,利用遥感和地理信息系统(GIS)技术进行了相关性分析和草地产量估算。探索了处理图像,分析信息以及将遥感数据与地面草地数据链接的方法。结果表明,四种草地类型的新鲜牧草产量与比率植被指数(RVI)和归一化差异植被指数(NDVI)之间具有相关性(P <0.01),相关系数(r)> 0.679。在低地草甸,丘陵荒漠草原和高山草甸,与RVI相比,新鲜牧草产量与NDVI的相关性更好,而平原荒漠草原与RDVI的相关性更好。从六条曲线中选择了最佳的估计产量非线性模型,并通过地面实况大图调查和统计分析验证了估计的总产量。估计...的效果

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