河南农业科学
河南農業科學
하남농업과학
JOURNAL OF HENAN AGRICULTURAL SCIENCES
2013年
11期
31-35,101
,共6页
陈青春%蒋锋%林欢%张姿丽%刘鹏飞%王晓明
陳青春%蔣鋒%林歡%張姿麗%劉鵬飛%王曉明
진청춘%장봉%림환%장자려%류붕비%왕효명
甜玉米%光谱参数%茎粗%叶面积指数%钾%模型
甜玉米%光譜參數%莖粗%葉麵積指數%鉀%模型
첨옥미%광보삼수%경조%협면적지수%갑%모형
sweet corn%spectral index%stem diameter%leaf area index%K%model
为了明确甜玉米不同生育期生长发育指标与光谱仪冠层光谱参数的定量关系,进而为甜玉米生长指标快速监测提供决策依据,开展了正甜68不同施钾水平的田间试验,于拔节期、大喇叭口期以及抽雄期利用CGMD302光谱仪采集玉米冠层光谱反射率,并同步测定各处理茎粗、叶面积指数(LAI),研究各光谱参数与生长指标之间的关系。结果表明,归一化植被指数(NDVI)与茎粗和LAI呈正相关关系,而比值植被指数(RVI)与茎粗和LAI呈负相关关系。经检验,基于NDVI和RVI构建的单个时期监测模型可以有效地反演甜玉米茎粗和LAI ,模型检验结果良好,预测精度均在0.9以上,均方根误差均小于10%,平均相对误差均小于5%。
為瞭明確甜玉米不同生育期生長髮育指標與光譜儀冠層光譜參數的定量關繫,進而為甜玉米生長指標快速鑑測提供決策依據,開展瞭正甜68不同施鉀水平的田間試驗,于拔節期、大喇叭口期以及抽雄期利用CGMD302光譜儀採集玉米冠層光譜反射率,併同步測定各處理莖粗、葉麵積指數(LAI),研究各光譜參數與生長指標之間的關繫。結果錶明,歸一化植被指數(NDVI)與莖粗和LAI呈正相關關繫,而比值植被指數(RVI)與莖粗和LAI呈負相關關繫。經檢驗,基于NDVI和RVI構建的單箇時期鑑測模型可以有效地反縯甜玉米莖粗和LAI ,模型檢驗結果良好,預測精度均在0.9以上,均方根誤差均小于10%,平均相對誤差均小于5%。
위료명학첨옥미불동생육기생장발육지표여광보의관층광보삼수적정량관계,진이위첨옥미생장지표쾌속감측제공결책의거,개전료정첨68불동시갑수평적전간시험,우발절기、대나팔구기이급추웅기이용CGMD302광보의채집옥미관층광보반사솔,병동보측정각처리경조、협면적지수(LAI),연구각광보삼수여생장지표지간적관계。결과표명,귀일화식피지수(NDVI)여경조화LAI정정상관관계,이비치식피지수(RVI)여경조화LAI정부상관관계。경검험,기우NDVI화RVI구건적단개시기감측모형가이유효지반연첨옥미경조화LAI ,모형검험결과량호,예측정도균재0.9이상,균방근오차균소우10%,평균상대오차균소우5%。
In order to clarify the quantitative relationship between the growth parameters and ca-nopy spectral index of sweet corn and provide the decision basis for rapidly monitoring the grow th indicators of sweet corn ,the field experiment of Zhengtian 68 was carried out ,with different levels of K application .The spectral reflectance of corn canopy was measured by CGMD302 spectrome-ter at different growth stages ,while the stem diameter and leaf area index (LAI) were measured at the same time ,and then the relations between canopy spectral index and grow th parameters were analyzed .The results showed that NDVI had positive correlation with stem diameter and LAI ,while RVI had negative correlation with stem diameter and LAI .The monitoring model for a single stage was constructed based on NDVI and RVI ,which could well reflect the stem diame-ter and LAI of sweet corn and give the good test result .The prediction accuracy was above 0 .9 , the error of mean square root was less than 10% ,and the average relative error was less than 5% .