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基于赤池信息准则和人工神经网络的亚热带森林郁闭度遥感估算
引用本文:陈崇,朱延钧,居为民.基于赤池信息准则和人工神经网络的亚热带森林郁闭度遥感估算[J].江西农业学报,2011,23(5).
作者姓名:陈崇  朱延钧  居为民
作者单位:南京大学国际地球系统科学研究所,江苏南京,210093
摘    要:以江西省泰和县为研究区,探讨利用Landsat TM影像进行亚热带森林郁闭度森林遥感估算的可行性。首先,利用赤池信息准则(AIC)筛选了用于建模的遥感变量因子,通过模拟试验确定了估算森林郁闭度的前馈神经网络(BP)模型参数,利用检验样本数据验证了模型结果的可靠性。结果表明,遥感变量因子之间存在着强的相关关系,为了保证所建模型的效果需要剔除部分因子,利用BP神经网络建立的森林郁闭度模型的模拟和拟合精度都优于逐步回归模型,研究区内森林郁闭度较高,有47.8%的森林郁闭度大于0.7,但空间差异明显,西部和东部山区森林郁闭度高于中部丘陵森林的郁闭度。

关 键 词:森林郁闭度  遥感  AIC准则  BP人工神经网络  江西省  泰和县

Retrieval of Subtropical Forest Canopy Closure from Remote Sensing by Using Akaike Information Criterion and Artificial Neural Network Model
CHEN Chong,ZHU Yan-jun,JU Wei-min.Retrieval of Subtropical Forest Canopy Closure from Remote Sensing by Using Akaike Information Criterion and Artificial Neural Network Model[J].Acta Agriculturae Jiangxi,2011,23(5).
Authors:CHEN Chong  ZHU Yan-jun  JU Wei-min
Institution:CHEN Chong; ZHU Yan-jun; JU Wei-min(International Institute of Earth System Sciences; Nanjing University; Nanjing 210093; China);
Abstract:This paper is to explore the applicability of Landsat TM data in the retrieval of forest canopy closure(FCC) in the subtropical region.Taihe county,Jiangxi province was taken as the studied area.Factors from remote sensing data were selected for modeling FCC by using the Akaike information criterion(AIC).The parameters in the BP-artificial neural network were determined through simulation experiments.The performance of the model was validated by the FCC measured with the TRAC instrument.The results showed t...
Keywords:Forest canopy closure  Remote sensing  AIC  BP-artificial neural network
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