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基于高光谱数据的高寒草甸氮磷钾含量估测方法研究-以青海省贵南县及玛沁县高寒草甸为例

高金龙 侯尧宸 白彦福 孟宝平 杨淑霞 胡远宁 冯琦胜 崔霞 梁天刚

草业学报2016,Vol.25Issue(3):9-21,13.
草业学报2016,Vol.25Issue(3):9-21,13.DOI:10.11686/cyxb2015268

基于高光谱数据的高寒草甸氮磷钾含量估测方法研究-以青海省贵南县及玛沁县高寒草甸为例

Methods for estimating nitrogen,phosphorus and potassium content based on hyper-spectral data from alpine meadows in Guinan and Maqin Counties,Qinghai province

高金龙 1侯尧宸 1白彦福 1孟宝平 1杨淑霞 1胡远宁 1冯琦胜 1崔霞 2梁天刚1

作者信息

  • 1. 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,甘肃 兰州 730020
  • 2. 兰州大学西部环境教育部重点实验室,甘肃 兰州 730000
  • 折叠

摘要

Abstract

Using typical alpine meadows in Maqin and Guinan Counties in Qinghai province as the research area, hyperspectral data from 20 plots were collected by spectrometer,while the forage nutrient concentrations were measured in the laboratory for each plot.Using regression analysis,the correlations between the nitrogen, phosphorus and potassium contents of the alpine meadow forage and the original reflectance data and the first-order differential of reflectance were analyzed.Inversion models were established for estimating the nitrogen, phosphorus and potassium content of alpine meadow forage based on spectrum location,spectrum area and veg-etation index,and the accuracy of the models was also evaluated.It was found that first-order differential re-flectance curve better predicts nitrogen,phosphorus and potassium content in the forage,than does the original data.In the red band (680-760 nm),the nitrogen,phosphorus and potassium levels in forage show a strong relationship with canopy hyperspectral reflectance curve parameters.The model which included spectrum loca-tion worked well for estimating concentration of nitrogen,phosphorus,and potassium in alpine meadow for-age.A logarithmic model for spectrum location (R′708.88 )can estimated forage nitrogen content with an R 2 of 0.67,and an accuracy of 83.56%,while a logarithmic model for spectrum location (R′704.85 )can estimated for-age phosphorus content,with an R 2 of 0.55,and an accuracy of 92.15%,and a logarithmic model for spectrum location (R′697 .36 )estimated potassium content,with an R 2 of 0.86,and an accuracy of 82.44%.

关键词

高寒草甸/高光谱遥感/牧草营养监测/估测模型

Key words

alpine meadow/hyperspectral remote sensing/forage nutrition monitoring/estimation model

引用本文复制引用

高金龙,侯尧宸,白彦福,孟宝平,杨淑霞,胡远宁,冯琦胜,崔霞,梁天刚..基于高光谱数据的高寒草甸氮磷钾含量估测方法研究-以青海省贵南县及玛沁县高寒草甸为例[J].草业学报,2016,25(3):9-21,13.

基金项目

国家自然科学基金项目(31372367,41401472)和青海省科技支撑项目(2013-N-146-4)资助。 ()

草业学报

OA北大核心CSCDCSTPCD

1004-5759

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