农机化研究
農機化研究
농궤화연구
JOURNAL OF AGRICULTURAL MECHANIZATION RESEARCH
2015年
8期
162-165
,共4页
水稻冠层%高光谱%光谱反射率%敏感波段
水稻冠層%高光譜%光譜反射率%敏感波段
수도관층%고광보%광보반사솔%민감파단
rice canopy%hyperspectrum%spectral reflectance%sensitive bands
氮素是水稻生长发育的一种大量必需元素,需及时准确地监控水稻的氮营养状况。水稻的合理施肥对增产、优化品质、降低水污染具有重要意义。水稻营养状况遥感诊断技术具有简单、无损、快速等特点而得到各国专家的广泛研究和应用。本实验以方正水稻阳光4号品种为例,通过大田实验,利用高光谱遥感技术,采集6个施氮水平的水稻冠层水稻冠层图像,测定水稻冠层光谱反射率。结果表明:水稻冠层反射率与不同氮素含量有明显的相关性,从曲线图中可以定性区分出严重缺氮、正常施氮及过量施氮。下一步将结合光谱曲线找出诊断水稻氮素营养水平的敏感波段,为日后水稻冠层氮素营养诊断模型奠定基础。
氮素是水稻生長髮育的一種大量必需元素,需及時準確地鑑控水稻的氮營養狀況。水稻的閤理施肥對增產、優化品質、降低水汙染具有重要意義。水稻營養狀況遙感診斷技術具有簡單、無損、快速等特點而得到各國專傢的廣汎研究和應用。本實驗以方正水稻暘光4號品種為例,通過大田實驗,利用高光譜遙感技術,採集6箇施氮水平的水稻冠層水稻冠層圖像,測定水稻冠層光譜反射率。結果錶明:水稻冠層反射率與不同氮素含量有明顯的相關性,從麯線圖中可以定性區分齣嚴重缺氮、正常施氮及過量施氮。下一步將結閤光譜麯線找齣診斷水稻氮素營養水平的敏感波段,為日後水稻冠層氮素營養診斷模型奠定基礎。
담소시수도생장발육적일충대량필수원소,수급시준학지감공수도적담영양상황。수도적합리시비대증산、우화품질、강저수오염구유중요의의。수도영양상황요감진단기술구유간단、무손、쾌속등특점이득도각국전가적엄범연구화응용。본실험이방정수도양광4호품충위례,통과대전실험,이용고광보요감기술,채집6개시담수평적수도관층수도관층도상,측정수도관층광보반사솔。결과표명:수도관층반사솔여불동담소함량유명현적상관성,종곡선도중가이정성구분출엄중결담、정상시담급과량시담。하일보장결합광보곡선조출진단수도담소영양수평적민감파단,위일후수도관층담소영양진단모형전정기출。
Nitrogen is an essential element of a lot of rice growth, timely and accurate monitoring of nitrogen nutrition of rice, rice rational fertilization on yield, optimizing quality and reduce water pollution is important.Rice nutritional status of remote sensing diagnostic technique has a simple, non-destructive, rapidly and other characteristics have been widely studied and applied national experts.In this experiment, the sun on the 4th Founder varieties of rice, for example, through field experiments,, using hyperspectral remote sensing technology, collecting six nitrogen levels in rice canopy rice canopy image,measured the spectral reflectance of rice canopy,the results show:rice canopy reflectance with different nitrogen content had a significant correlation can be qualitatively from the graph roughly distinguish severe nitrogen defi-ciency, normal nitrogen fertilizer, excessive nitrogen fertilization.Next step is to find a combination of the spectral curve of nitrogen nutrition diagnosis Rice sensitive bands, provide the basis for future rice canopy nitrogen diagnostic model.