基于DEM的月表坡譜及空間差異性研究
發(fā)布時間:2018-04-19 02:41
本文選題:DEM + 坡譜; 參考:《南京師范大學(xué)》2015年碩士論文
【摘要】:月表地貌(lunar geomorphology)是月球表層內(nèi)外營力長期綜合作用的結(jié)果。系統(tǒng)地研究月表地貌形態(tài)特征、組合類型、空間分布及發(fā)育演化,對于揭示月表地貌的形成與發(fā)育機理有重要的科學(xué)意義。近年來,月表地貌特征的研究得到國內(nèi)外學(xué)者的廣泛關(guān)注,尤其是在撞擊坑的提取及其形態(tài)的空間差異性研究方面已取得重大的科學(xué)成果,但是對月表宏觀地貌形態(tài)特征及其空間差異性的研究仍顯不足。作為一種利用微觀地形指標來反映宏觀地形特征的地形分析方法,基于DEM的坡譜分析已在黃土高原地貌的研究中成功實踐并取得重要進展。本研究以多分辨率的月表DEM及USGS月球地質(zhì)圖(geologic map of the moon)為基礎(chǔ)數(shù)據(jù),以坡譜為切入點,研究月表宏觀地貌形態(tài)的空間差異性特征。論文主要研究工作及結(jié)論包括:1)研究了月表坡譜穩(wěn)定存在的基本地域條件,論證了坡譜在月表地貌研究的適宜性;2)運用空間統(tǒng)計采樣理論研究了月表穩(wěn)定坡譜的提取方法,該方法能較好地適應(yīng)月表地貌類型多樣且空間分布離散程度高的地貌特征;3)分析了月表坡譜的尺度效應(yīng),結(jié)果表明DEM分辨率變化范圍在60 m-240m之間時,坡譜具有較好的穩(wěn)定性,反映出在該空間尺度范圍內(nèi)月表地貌形態(tài)特征具有較強的自相似性;4)以坡度和地表粗糙度為核心參數(shù),探索了月表坡譜的空間差異性特征。結(jié)果顯示,月表坡譜具有明顯的空間差異性規(guī)律,不同地貌類型的坡譜量化指標差異顯著,從月海、高地、盆地到撞擊坑,坡譜信息熵、面積-坡度積分值、面積-地表粗糙度積分值均逐漸增大,坡譜偏度依次減小,坡譜形態(tài)逐漸向正態(tài)分布變化;這些特征反映了月表地形起伏度從月海、高地、盆地到撞擊坑逐漸增大,揭示了地貌成因?qū)Φ匦纹鸱臻g格局的控制作用。5)選取19個坡譜因子,運用非監(jiān)督分類方法,實現(xiàn)了月表地貌類型的自動分類,分類精度達70.3%。本研究是坡譜分析法在月表地貌研究的一次有益探索,為月表地貌研究提供了新的思路,有效地拓展了數(shù)字地形分析的應(yīng)用地域。
[Abstract]:The lunar surface geomorphology is the result of the long-term comprehensive action of the inner and outer forces on the surface of the moon.It is of great scientific significance to systematically study the morphological features, assemblage types, spatial distribution and developmental evolution of the lunar surface geomorphology, which is of great scientific significance for revealing the formation and development mechanism of the lunar surface geomorphology.In recent years, the research on the geomorphological characteristics of the lunar surface has received extensive attention from scholars at home and abroad, especially in the extraction of impact craters and their spatial differences in morphology, which has made great scientific achievements.However, the study of the macroscopic geomorphologic features and their spatial differences on the moon surface is still insufficient.As a topographic analysis method based on microcosmic topographic index, slope spectrum analysis based on DEM has been successfully applied in the study of loess plateau geomorphology and important progress has been made.Based on the multi-resolution lunar surface DEM and USGS lunar geological map, the spatial difference of the macroscopic geomorphology of the lunar surface is studied by using the slope spectrum as the starting point and based on the data of USGS lunar map of the moon.The main research work and conclusions are as follows: (1) the basic regional conditions of the stability of the monthly slope spectrum are studied, and the suitability of the slope spectrum in the study of the monthly surface geomorphology is demonstrated. 2) the extraction method of the stable slope spectrum of the lunar surface is studied by using the spatial statistical sampling theory.This method can better adapt to the geomorphological features with various types of monthly surface landforms and high degree of spatial dispersion. The scale effect of the monthly slope spectrum is analyzed. The results show that the slope spectrum has good stability when the DEM resolution varies from 60 m to 240 m.The results show that there is a strong self-similarity in the geomorphologic features of the lunar surface within this spatial scale. (4) taking slope and surface roughness as the core parameters, the spatial differences of the slope spectrum of the lunar surface are explored.The results show that the slope spectrum of lunar surface has obvious spatial difference law, and the quantitative indexes of slope spectrum of different geomorphological types are significant, ranging from lunar sea, highland, basin to impact crater, slope spectrum information entropy, area-slope integral value.The integral value of area-surface roughness increases gradually, the slope spectrum bias decreases in turn, and the slope spectrum forms gradually change to normal distribution, which reflects that the relief degree of the lunar surface topography increases from the lunar sea, the highland, the basin to the impact crater.This paper reveals the controlling effect of geomorphologic origin on the spatial pattern of topographic undulation. 5) selecting 19 slope spectrum factors and using unsupervised classification method, the automatic classification of monthly topographic types is realized, and the classification accuracy is up to 70.3%.This study is a useful exploration of slope spectrum analysis in the study of monthly topographic features, which provides a new way of thinking for the study of monthly topographic features and effectively expands the application area of digital topographic analysis.
【學(xué)位授予單位】:南京師范大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2015
【分類號】:P184
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