地表高程剖面特征及其在起伏度分析中的應(yīng)用——以平行嶺谷區(qū)華鎣市為例
發(fā)布時(shí)間：2018-09-07 07:08
【摘要】：針對(duì)確定高分辨率、小區(qū)域地形起伏度最佳求算區(qū)域中存在的不確定性,提出了分析地表高程典型剖面的多尺度特征,繼而探索其在確定最佳求算區(qū)域中的應(yīng)用適應(yīng)性的方法。利用多尺度DEM分析縣域地形起伏,以川東平行嶺谷區(qū)華鎣市為例,基于ASTER GDEM數(shù)據(jù),提取高程剖面線。Morlet小波多尺度分解顯示,在20~27(600~810m)及42~46(1 260~1 380m)窗口區(qū)間小波方差呈現(xiàn)峰值特征。為驗(yàn)證多尺度特征及其在確定地形起伏度最佳分析窗口中的應(yīng)用,基于30m及90m分辨率的DEM運(yùn)用鄰域統(tǒng)計(jì)法求算地形起伏度。均值變點(diǎn)法表明地形起伏度最佳分析窗口分別為27×27(810m)、17×17(1 530m),單元面積分別為0.65km2、2.34km2,接近小波峰值區(qū)間,90mDEM求算的地形起伏度更接近于實(shí)際情況。實(shí)驗(yàn)表明,高程剖面分析是研究嶺谷區(qū)地形多尺度起伏特征有效方法之一;其指示的特征尺度,可以與變點(diǎn)法確定的起伏度分析窗口相互對(duì)照。
[Abstract]:In view of the uncertainty existing in the determination of high resolution and the optimum calculation area of topographic fluctuation of small area, this paper puts forward a method to analyze the multi-scale characteristics of typical surface elevation profile, and then to explore its application adaptability in determining the optimum calculation area. Using multi-scale DEM to analyze the terrain fluctuation in the county area, taking Huaying city in the parallel ridge valley of eastern Sichuan as an example, based on the ASTER GDEM data, the elevation profile line. Morlet wavelet multiscale decomposition display is extracted. The wavelet variance of the peak value is shown in the windows of 20 / 27 (600 / 810m) and 42an46 (1 260/ 1380m) window. In order to verify the multi-scale feature and its application in determining the optimal analysis window of terrain relief, the DEM based on 30m and 90m resolution is used to calculate the topographic relief by neighborhood statistics. The mean value variation point method shows that the optimum analysis window of terrain fluctuation is 27 脳 27 (810m) / 17 脳 17 (1,530m), and the unit area is 0.65km2 / 2.34km2, respectively. The topographic fluctuation calculated by approaching the wavelet peak value interval / 90mDem is closer to the actual situation. The experimental results show that the elevation profile analysis is one of the effective methods to study the multi-scale relief characteristics of the terrain in the Linggu area, and that the characteristic scale indicated by the elevation profile can be compared with the fluctuation analysis window determined by the variable point method.
【作者單位】： 西華師范大學(xué)國土資源學(xué)院;成都信息工程學(xué)院資源環(huán)境學(xué)院;
【基金】：國家自然科學(xué)基金(41101348;41201414) 西華師范大學(xué)基本科研業(yè)務(wù)費(fèi)專項(xiàng)資金(15C002);西華師范大學(xué)博士啟動(dòng)基金(12B015)
【分類號(hào)】：P208;P285.1
[Abstract]:In view of the uncertainty existing in the determination of high resolution and the optimum calculation area of topographic fluctuation of small area, this paper puts forward a method to analyze the multi-scale characteristics of typical surface elevation profile, and then to explore its application adaptability in determining the optimum calculation area. Using multi-scale DEM to analyze the terrain fluctuation in the county area, taking Huaying city in the parallel ridge valley of eastern Sichuan as an example, based on the ASTER GDEM data, the elevation profile line. Morlet wavelet multiscale decomposition display is extracted. The wavelet variance of the peak value is shown in the windows of 20 / 27 (600 / 810m) and 42an46 (1 260/ 1380m) window. In order to verify the multi-scale feature and its application in determining the optimal analysis window of terrain relief, the DEM based on 30m and 90m resolution is used to calculate the topographic relief by neighborhood statistics. The mean value variation point method shows that the optimum analysis window of terrain fluctuation is 27 脳 27 (810m) / 17 脳 17 (1,530m), and the unit area is 0.65km2 / 2.34km2, respectively. The topographic fluctuation calculated by approaching the wavelet peak value interval / 90mDem is closer to the actual situation. The experimental results show that the elevation profile analysis is one of the effective methods to study the multi-scale relief characteristics of the terrain in the Linggu area, and that the characteristic scale indicated by the elevation profile can be compared with the fluctuation analysis window determined by the variable point method.
【作者單位】： 西華師范大學(xué)國土資源學(xué)院;成都信息工程學(xué)院資源環(huán)境學(xué)院;
【基金】：國家自然科學(xué)基金(41101348;41201414) 西華師范大學(xué)基本科研業(yè)務(wù)費(fèi)專項(xiàng)資金(15C002);西華師范大學(xué)博士啟動(dòng)基金(12B015)
【分類號(hào)】：P208;P285.1
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