基于无人机多光谱图像的小麦叶片氮含量遥感监测研究

打开文本图片集

关键词无人机；多光谱图像；小麦叶片氮含量；监测模型

中图分类号S127文献标识码A

文章编号 0517-6611（2025）08-0243-05

doi：10.3969/j.issn.0517-6611.2025.08.049

开放科学（资源服务）标识码（OSID）：

AbstractToacheeprecise，eient，dynamicandlow-ostirogenutrientmoitingincoprductioandpromoteteapiddance mentofnew-ualitgiulturalproductivityTsudyassdothexperenllyeasueddatain24adtokmadal cle（UAV）imagesasthedatasourcetoanalyzethe modelsbetwenthemainremotesensingparametersandleaf nitrogencontent（LNC）of weatatthejoitigsageandotigsage.TeresultsohatitieasibletmoiratLCattejtigstageandotigsagby usingthe normalizedgree-bluedierenceindex（NBD）ed-gen-buevegetationidex（RGBV）andRGBVIexcessrdE）ote sensingvariablsspetivelyOntissis，saiallstributedasofofatattejtigsagendotingageodby UAVremotesensigwithpracticalignificaneerefabricatedThresearchfidingscanprovidchncalsuportforagiculturalmangt departments to obtain reliable agricultural condition information and formulate precise fertilization management.

Key wordsUAV；Multispectral image； Wheat leaf nitrogen content；Monitoring model

小麦是江苏省最主要的大田作物，已成为全国重要的小麦主产区，对国家粮油安全具有重要意义。（剩余5646字）