本文選題：南極冰蓋 + 數(shù)字高程模型��； 參考：《遙感學(xué)報(bào)》2014年01期

【摘要】：南極數(shù)字高程模型DEMs(Digital Elevation Models)是研究極區(qū)大氣環(huán)流模式,南極冰蓋動(dòng)態(tài)變化和南極科學(xué)考察非常重要的基礎(chǔ)數(shù)據(jù)。目前,科學(xué)家已經(jīng)發(fā)布了五種不同的南極數(shù)字表面高程模型。這些數(shù)據(jù)都是由衛(wèi)星雷達(dá)高度計(jì),激光雷達(dá)和部分地面實(shí)測(cè)數(shù)據(jù)等制作而成。盡管如此,由于海洋與冰蓋交接的南極冰蓋邊緣區(qū)隨時(shí)間的快速變化,有必要根據(jù)新的衛(wèi)星數(shù)據(jù)及時(shí)更新南極冰蓋表面高程數(shù)據(jù)。因此,我們利用雷達(dá)高度計(jì)數(shù)據(jù)(Envisat RA-2)和激光雷達(dá)數(shù)據(jù)(ICESat/GLAS)制作了最新的南極冰蓋高程數(shù)據(jù)。為提高ICESat/GLAS數(shù)據(jù)的精度,本文采用了五種不同的質(zhì)量控制指標(biāo)對(duì)GLAS數(shù)據(jù)進(jìn)行處理,濾除了8.36%的不合格數(shù)據(jù)。這五種質(zhì)量控制指標(biāo)分別針對(duì)衛(wèi)星定位誤差、大氣前向散射、飽和度及云的影響。同時(shí),對(duì)Envisat RA-2數(shù)據(jù)進(jìn)行干濕對(duì)流層糾正、電離層糾正、固體潮汐糾正和極潮糾正。針對(duì)兩種不同的測(cè)高數(shù)據(jù),提出了一種基于Envisat RA-2和GLAS數(shù)據(jù)光斑腳印幾何相交的高程相對(duì)糾正方法,即通過(guò)分析GLAS腳印點(diǎn)與Envisat RA-2數(shù)據(jù)中心點(diǎn)重疊的點(diǎn)對(duì),建立這些相交點(diǎn)對(duì)的高度差(GLAS-RA-2)與表征地形起伏的粗糙度之間的相關(guān)關(guān)系,對(duì)具有穩(wěn)定相關(guān)關(guān)系的點(diǎn)對(duì)進(jìn)行Envisat RA-2數(shù)據(jù)的相對(duì)糾正。通過(guò)分析南極冰蓋不同區(qū)域的測(cè)高點(diǎn)密度,確定最終DEM的分辨率為1000 m。考慮到南極普里茲灣和內(nèi)陸地區(qū)的差異性,將南極冰蓋分為16個(gè)區(qū),利用半方差分析確定最佳插值模型和參數(shù),采用克呂金插值方法生成了1000 m分辨率的南極冰蓋高程數(shù)據(jù)。利用兩種機(jī)載激光雷達(dá)數(shù)據(jù)和我國(guó)多次南極科考實(shí)測(cè)的GPS數(shù)據(jù)對(duì)新的南極DEM進(jìn)行了驗(yàn)證。結(jié)果顯示,新的DEM與實(shí)測(cè)數(shù)據(jù)的差值范圍為3.21—27.84 m,其誤差分布與坡度密切關(guān)系。與國(guó)際上發(fā)布的南極DEM數(shù)據(jù)相比,新的DEM在坡度較大地區(qū)和快速變化的冰蓋邊緣地區(qū)精度有較大改進(jìn)。
[Abstract]:The Antarctic Digital elevation Model (DEMsN Digital elevation models) is an important basic data for the study of the polar atmospheric circulation model, the dynamic changes of the Antarctic ice sheet and the Antarctic scientific survey. So far, scientists have published five different digital surface elevation models for Antarctica. These data are made from satellite radar altimeter, lidar and some ground measured data. However it is necessary to update the surface elevation data of the Antarctic ice sheet according to the new satellite data due to the rapid change of the Antarctic ice sheet edge area between the ocean and the ice sheet. Therefore, we have produced the latest Antarctic ice cover elevation data using radar altimeter data Envisat RA-2) and lidar data (ICESat-GLASS). In order to improve the accuracy of ICEsat / GLAS data, five different quality control indexes are used to process the GLAS data, and 8.36% of the unqualified data are filtered out. The five quality control indexes are aimed at satellite positioning error, atmospheric forward scattering, saturation and cloud effect. At the same time, dry and wet troposphere correction, ionospheric correction, solid tide correction and polar tide correction are performed on Envisat RA-2 data. For two different altimetry data, a relative elevation correction method based on the geometric intersection of spot footprints based on Envisat RA-2 and GLAS data is proposed, that is, by analyzing the overlap point pairs between GLAS footprint points and Envisat RA-2 data center points. The correlation between the height difference of these intersecting points (GLAS-RA-2) and the roughness representing the topographic fluctuation is established, and the relative correction of the Envisat RA-2 data is carried out for the point pairs with stable correlation. The resolution of the final Dem is 1000 m by analyzing the density of the measured high points in different regions of the Antarctic ice sheet. Considering the difference between the Prydz Bay and the inland area, the Antarctic ice sheet is divided into 16 regions. The best interpolation model and parameters are determined by semi-variance analysis, and the 1000 m resolution Antarctic ice sheet elevation data are generated by using the Klukin interpolation method. The new Antarctic Dem is validated by two kinds of airborne lidar data and GPS data obtained from many Antarctic scientific surveys in China. The results show that the difference between the new Dem and the measured data is 3.21-27.84 m.The error distribution is closely related to the slope. Compared with the Antarctic Dem data published internationally, the accuracy of the new Dem is greatly improved in the areas with high slope and rapidly changing ice sheet edge.
【作者單位】： 中國(guó)科學(xué)院遙感與數(shù)字地球研究所遙感科學(xué)國(guó)家重點(diǎn)實(shí)驗(yàn)室;北京師范大學(xué)全球變化與地球系統(tǒng)科學(xué)研究院;清華大學(xué)地球系統(tǒng)科學(xué)研究中心;
【基金】：國(guó)家高技術(shù)研究發(fā)展計(jì)劃(863計(jì)劃)(編號(hào):2008AA121702) 國(guó)家重點(diǎn)基礎(chǔ)研究發(fā)展計(jì)劃(973計(jì)劃)(編號(hào):2012CB957704) 國(guó)家海洋局極地科學(xué)重點(diǎn)實(shí)驗(yàn)室開(kāi)放基金(編號(hào):KP2008006)~~
【分類號(hào)】：TN957.52

【相似文獻(xiàn)】

相關(guān)期刊論文 前10條

1 王麗園;陳楚江;余紹淮;張霄;梁誠(chéng);;激光雷達(dá)與數(shù)字化道路CAD設(shè)計(jì)協(xié)同的研究與應(yīng)用[J];公路工程;2011年04期

2 梁欣廉;張繼賢;李海濤;;一種應(yīng)用于城市區(qū)域的自適應(yīng)形態(tài)學(xué)濾波方法[J];遙感學(xué)報(bào);2007年02期

3 賴旭東;萬(wàn)幼川;;一種從農(nóng)村地區(qū)Lidar數(shù)據(jù)中自動(dòng)提取DEM的算法[J];紅外與激光工程;2007年S1期

4 任自珍;岑敏儀;張同剛;周國(guó)清;;LiDAR數(shù)據(jù)中建筑物提取的新方法—Fc-S法[J];測(cè)繪科學(xué);2010年06期

5 楊曉云;;一種基于形態(tài)學(xué)的激光雷達(dá)數(shù)據(jù)濾波算法的改進(jìn)[J];測(cè)繪科學(xué);2011年04期

6 姜琳琳;趙曉明;洪波;;LIDAR數(shù)據(jù)結(jié)合特征線獲取高精度DEM及DOM[J];黑龍江工程學(xué)院學(xué)報(bào)(自然科學(xué)版);2009年02期

7 黃旭;;機(jī)載激光雷達(dá)技術(shù)在送電線路設(shè)計(jì)中的應(yīng)用[J];紅水河;2009年01期

8 倪樹(shù)新;軍用激光雷達(dá)技術(shù)的發(fā)展趨勢(shì)[J];激光與紅外;1992年01期

9 李玲芝，劉逢梅，，趙景山，王雨三;激光雷達(dá)小型高重復(fù)率TEA—CO_2激光器[J];哈爾濱理工大學(xué)學(xué)報(bào);1995年03期

10 毛國(guó)安;相干式CO_2激光雷達(dá)角跟蹤系統(tǒng)[J];系統(tǒng)工程與電子技術(shù);1996年03期

相關(guān)會(huì)議論文 前10條

1 徐文靜;孫東松;舒志峰;唐磊;董吉輝;胡冬冬;王國(guó)成;;瑞利散射多普勒測(cè)風(fēng)激光雷達(dá)數(shù)據(jù)處理分析[A];第九屆全國(guó)光電技術(shù)學(xué)術(shù)交流會(huì)論文集（上冊(cè)）[C];2010年

2 仲思東;耿學(xué)賢;史中超;;一種改進(jìn)激光雷達(dá)性能的方法[A];中國(guó)儀器儀表學(xué)會(huì)學(xué)術(shù)論文集[C];2004年

3 譚瑩;吳夏穎;丁穎;易帆;;多光束測(cè)風(fēng)激光雷達(dá)技術(shù)分析[A];中國(guó)光學(xué)學(xué)會(huì)2011年學(xué)術(shù)大會(huì)摘要集[C];2011年

4 馬佑軍;趙朝方;李曉龍;齊敏s

本文編號(hào)：2027605