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基于极化合成孔径雷达干涉测量的平均树高提取技术 总被引:5,自引:0,他引:5
在新疆和田地区建立SIR-C/X SAR极化干涉测量试验区,获取2次重复飞行的SIR-C/X SAR全极化干涉测量数据、覆盖试验区的地形图4幅、Landsat-5 TM及Landsat-7 ETM 数据各一景.在此基础上,研究实现POLinSAR数据处理及树高反演算法,并对试验结果进行初步分析评价.结果表明:本文所采用的极化干涉测量数据处理方法及树高反演算法是正确的;受去相干噪声因素的影响,重复飞行极化干涉SAR相干影像上可能存在大量的非体散射去相干散射体,识别这些散射体并加以剔除是保证得到正确树高提取结果的重要步骤. 相似文献
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非负特征值约束的优势在于它可以判定一个极化矩阵能否对目标的散射机制进行表征。若一个矩阵不能满足非负特征值约束条件,则不能表征目标的散射机制,也就没有地物目标散射的极化信息。在非负特征值约束理论之前的极化分解中忽略了这个条件,导致分解的极化特征没有意义。根据满足非负特征值约束的非负特征值分解方法,提取出平面散射、偶次散射、体散射分量,结合支持向量机分类器,提出了一种SAR图像分类方法,并以AIRSAR_SanFrancisco数据进行分类实验,且将分类结果与H/A/α-Wishart分类结果进行对比分析。结果表明,基于非负特征值分解和支持向量机分类器结合的分类方法可行有效,且具有很好的分类精度。 相似文献
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基于机载P-波段全极化SAR数据的复杂地形森林地上生物量估测方法 总被引:2,自引:0,他引:2
《林业科学》2016,(3)
【目的】利用国产合成孔径雷达(SAR)系统(CASMSAR)获取的机载P-波段全极化SAR(PolSAR)数据,分析SAR对森林地上生物量(AGB)的响应与地形的关系,建立融合地形因子的高精度多项式模型,以提高森林AGB的估测精度。【方法】首先以基于机载激光雷达(Li DAR)数据得到的研究区坡度分布图与结合实测样地AGB数据得到的森林AGB分布图作为参考数据进行系统抽样,分析森林AGB与P-波段PolSAR后向散射强度的关系以及不同坡度下二者的相关性变化;然后利用Li DAR得到的高精度数字高程模型(DEM)结合机载P-波段的轨道数据计算当地入射角,进而建立以后向散射强度、当地入射角以及雷达视角为输入特征的多项式统计模型,同时将以上系统抽样得到的样本一部分作为模型训练样本,一部分作为精度检验样本。为避免样本尺度引起的偶然性,检验了20 m×20 m至100 m×100 m不同样地尺度下的估测精度。【结果】以90 m×90 m样本为例,当坡度为0°~5°时,引入当地入射角(第2组特征)的估测精度与未引入当地入射角(第1组特征)的估测精度分别为:决定系数(R~2)为0.634和0.634,均方根误差(RMSE)为12.07和12.08 t·hm~(-2),总精度(Acc.)为78.91%和78.89%;当坡度为5°~10°时,第2组特征与第1组特征的估测精度分别为:R2为0.524和0.523,RMSE为13.52和13.97 t·hm~(-2),Acc.为80.57%和80.52%;当坡度大于10°时,第2组特征与第1组特征的估测精度分别为:R~2为0.628和0.519,RMSE为13.16和15.70 t·hm~(-2),Acc.为81.05%和78.55%。随着样地尺度增大,2组特征的估测精度均增大,且第2组特征的估测精度大于第1组。【结论】当坡度小于10°时,地形对森林的后向散射强度几乎无影响;当坡度大于10°时,地形的影响显著,在不同尺度下,引入当地入射角的估测模型均可以有效提高估测精度,充分说明模型的有效性和稳定性。此外,随着尺度增大,无论采用的模型是否考虑了地形影响,其估测精度都逐渐提高并趋于稳定,揭示出对复杂地形下森林AGB估测模型效果的评价必须考虑尺度的影响,且参考样地要足够大,否则难以得到客观的结论。 相似文献
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本文报道了应用多重极化L-波段合成孔径雷达(SAR)数据估测森林生物量,冠层结构和树种组成的主要研究成果。SAR数据与树高,胸径,植株密度,方位和样地几何形状等因素呈显著相关(P=0.05或P=0.01),特别能反映硬阔叶林分子其它森林树种组间林冠特征差异(包括分枝形态,冠重量和面积),主要树种组内,树种组间与林结构的变化(包括树高,植株胸径和密度)以及一些低生物量和部分疏林地与潮湿土壤及枯枝落叶 相似文献
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应用多重极化L-波段合成孔径雷达数据估测森林生物量、林冠结构和树种组成(下)作者:StevenA.Sader译编者:邓侃2.线性回归分析SAR数据与森林各树种组的结构因子间存在显著线性相关关系的情况不多(表3),松树优势林分比其他林分类型的结果要好些... 相似文献
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本文报道了应用多重极化L-波段合成孔径雷达(SAR)数据估测森林生物量、冠层结构和树种组成的主要研究成果。SAR数据与树高、胸径、植株密度、方位和样地几何形状等因素呈显著相关(P=0.05或P=0.01),特别能反映硬阔叶林分子其它森林树种组间林冠特征差异(包括分枝形态、树冠重量和面积)、主要树种组内、树种组间与林分结构的变化(包括树高、植株胸径和密度)以及一些低生物量和部分疏林地与潮湿土壤及枯枝落叶层的分布和裸露程度。 相似文献
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木棉(Gossampinus malabarica)又名攀枝花、红棉、英雄树、烽火树,属木棉科木棉属落叶高大乔木.木棉广泛分布在我国四川、云南、贵州、广西、广东,生长在江河沿岸、山地阳坡及村边道路旁,喜光、耐高温,对土壤要求不苛刻.在四川攀枝花地区木棉树于1月-2月份开花,先花后叶,花色艳丽,有红色、金黄、淡黄色等颜色,树形高大伟岸,是优良的园林绿化树种.木棉树现是攀枝花市市花和广州市市树,在园林绿化中常作行道树、庭荫树、景园树、盆景树等.木棉经嫁接后2 a-3 a开花,嫁接苗可作盆景矮化栽培,观赏价值高.本文介绍了木棉的嫁接育苗技术. 相似文献
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One compound approach combining factor-analytic model with AMMI and GGE biplot to improve multi-environment trials analysis 总被引:1,自引:0,他引:1
To improve multi-environmental trial(MET)analysis,a compound method—which combines factor analytic(FA)model with additive main effect and multiplicative interaction(AMMI)and genotype main effect plus genotype-by-environment interaction(GGE)biplot—was conducted in this study.The diameter at breast height of 36 open-pollinated(OP)families of Pinus taeda at six sites in South China was used as a raw dataset.The best linear unbiased prediction(BLUP)data of all individual trees in each site was obtained by fitting the spatial effects with the FA method from raw data.The raw data and BLUP data were analyzed and compared by using the AMMI and GGE biplot.BLUP results showed that the six sites were heterogeneous and spatial variation could be effectively fitted by spatial analysis with the FA method.AMMI analysis identified that two datasets had highly significant effects on the site,family,and their interactions,while BLUP data had a smaller residual error,but higher variation explaining ability and more credible stability than raw data.GGE biplot results revealed that raw data and BLUP data had different results in mega-environment delineation,test-environment evaluation,and genotype evaluation.In addition,BLUP data results were more reasonable due to the stronger analytical ability of the first two principal components.Our study suggests that the compound method combing the FA method with the AMMI and GGE biplot could improve the analysis result of MET data in Pinus teada as it was more reliable than direct AMMI and GGE biplot analysis on raw data. 相似文献
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Natural spruce-fir mixed stand is one of the main forest types in the world,and also has huge ecological,economic and social benefits.According to the structural characteristics and succession laws of natural spruce-fir forest,it is urgent and significant to develop scientific management measures for natural spruce-fir mixed stand in line with local conditions.The article outlined the characteristics of the distribution and structure, regeneration and succession laws of natural spruce-fir forest,and analyzed the current situation and existing problems of natural spruce-fir forest management.The following recommendations were eventually made:1) In no cutting area,all logging activities should be banned.In a restricted cutting area,the cutting intensity should be generally controlled within 15%of the stock volume before cutting.On the commodity forest management area, the appropriate cutting intensity should be determined according to the volume per hectare,determine and classification management should be implemented in accordance with the characteristics of forest,to ensure the scientific selective cutting.2) Closure for afforestation,planting and repair planting should be adopted on vegetation-intensive land,sparse shrubs covered land and harvesting slash,in order to accelerate natural regeneration.3) The in situ conservation should be conducted in nature reserves and scientific experiment stations of rare and endangered species,such as Abies chensiensis,Picea neoveitchii,Abies vuanbaoshanensis,to reduce human destruction.4) It is supposed to collect seeds in time,establish nursery,actively establish forest, expand artificial population and promote natural regeneration. 相似文献