中国3类典型区SRTMGL1和SRTM V4精度对比分析
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摘要
以中国3类典型地区(华北平原、云贵高原和青藏高原)为研究区,利用ICESat/GLAS数据作为高程控制点数据,以SRTM的两种分辨率数据SRTM 1 Arc-Second Global(SRTMGL1)和SRTM Version 4(SRTM V4)数据作为精度评价数据,结合地形要素和土地覆盖要素,综合对两种DEM在3类典型区的精度进行了评价比对。结果表明:(1)在3类研究区中,总体上SRTMGL1数据精度优于SRTM V4数据精度,其中华北平原研究区两种DEM精度最高,云贵高原研究区两种DEM精度最低。(2)在不同的坡度分级内,SRTMGL1的数据精度皆高于SRTM V4数据,在较小的坡度区间内,两者精度差别不大。大坡度、高植被覆盖对于SRTMGL1精度衰减影响较大。(3)在4种地貌区内,两种DEM的相对精度和绝对精度随地形变化有不同的分异规律。其中在相对精度方面,山脊点处SRTMGL1数据高程测量值较SRTM V4数据偏大,山谷点处SRTM V4测量值较SRTMGL1数据偏大;在绝对精度方面,两种DEM与ICESat/GLAS控制点差值剖面线随地形变化明显,在平缓地区,差值剖面线振幅小,两种DEM差值相接近,在高起伏地区,剖面线振幅大,且SRTM V4差值曲线较SRTMGL1剖面曲线振幅偏大,两者差值大。(4)在华北平原研究区和云贵高原研究区内,高植被覆盖区两种DEM误差最大,裸地和人造表面误差最小;在青藏高原地区,冰川覆盖区误差最大,水体区误差最小。
Three typical regions in China(North China Plain, Yunnan-Guizhou Plateau and Qinghai-Tibet Plateau) were selected as the study areas. ICESat/GLAS data were used as elevation control point data, SRTM 1 Arc-Second Global(SRTMGL1) and SRTM Version 4(SRTM V4) data were used as precision evaluation data, and terrain and surface coverage factors were combined to synthesize the two DEMs in three typical regions. The accuracy of the zone was evaluated and compared. The results showed that:(1) in the three types of research areas, the accuracy of SRTMGL1 data was better than that of SRTM V4 data, of which the two DEMs in North China Plain were the best, and the two DEMs in Yunnan-Guizhou Plateau were the worst;(2) the data accuracy of SRTMGL1 was better than that of SRTM V4 in different slope grading, and there was little difference between them in a small slope range; large slope and high vegetation coverage had great influence on SRTMGL1 accuracy attenuation;(3) the relative and absolute accuracy of the two DEMs varied with the topography in the four geomorphological regions; in terms of relative accuracy, the SRTMGL1 data elevation at the ridge points was larger than that of SRTM V4 data, and the SRTM V4 data at the valley points was larger than that of SRTMGL1 data; in terms of absolute accuracy, the difference profiles between the two DEMs and ICESat/GLAS control points changed significantly with the terrain; in the gentle terrain area, the amplitude of difference profiles was small, and the difference between the two DEMs was close; in the high undulating area, the amplitude of section lines was large, and the amplitude of SRTM V4 difference value curve was larger than that of SRTMGL1 profile curve;(4) in the study area of North China Plain and Yunnan-Guizhou Plateau, the two DEM errors of high vegetation coverage area were the largest, while the errors of bare land and artificial surface were the smallest; in the Qinghai-Tibet Plateau, the error of the glacier coverage area was the largest and the water area error was the smallest.
Three typical regions in China(North China Plain, Yunnan-Guizhou Plateau and Qinghai-Tibet Plateau) were selected as the study areas. ICESat/GLAS data were used as elevation control point data, SRTM 1 Arc-Second Global(SRTMGL1) and SRTM Version 4(SRTM V4) data were used as precision evaluation data, and terrain and surface coverage factors were combined to synthesize the two DEMs in three typical regions. The accuracy of the zone was evaluated and compared. The results showed that:(1) in the three types of research areas, the accuracy of SRTMGL1 data was better than that of SRTM V4 data, of which the two DEMs in North China Plain were the best, and the two DEMs in Yunnan-Guizhou Plateau were the worst;(2) the data accuracy of SRTMGL1 was better than that of SRTM V4 in different slope grading, and there was little difference between them in a small slope range; large slope and high vegetation coverage had great influence on SRTMGL1 accuracy attenuation;(3) the relative and absolute accuracy of the two DEMs varied with the topography in the four geomorphological regions; in terms of relative accuracy, the SRTMGL1 data elevation at the ridge points was larger than that of SRTM V4 data, and the SRTM V4 data at the valley points was larger than that of SRTMGL1 data; in terms of absolute accuracy, the difference profiles between the two DEMs and ICESat/GLAS control points changed significantly with the terrain; in the gentle terrain area, the amplitude of difference profiles was small, and the difference between the two DEMs was close; in the high undulating area, the amplitude of section lines was large, and the amplitude of SRTM V4 difference value curve was larger than that of SRTMGL1 profile curve;(4) in the study area of North China Plain and Yunnan-Guizhou Plateau, the two DEM errors of high vegetation coverage area were the largest, while the errors of bare land and artificial surface were the smallest; in the Qinghai-Tibet Plateau, the error of the glacier coverage area was the largest and the water area error was the smallest.
引文
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[13] 万杰,廖静娟,许涛,等.基于ICESat/GLAS高度计数据的SRTM数据精度评估:以青藏高原地区为例[J].国土资源遥感,2015,27(1):100-105.
[14] 李鹏,李振洪,施闯,等.中国地区30 m分辨率SRTM质量评估[J].测绘通报,2016(9):24-28.
[15] 杜小平,郭华东,范湘涛.基于ICESat/GLAS数据的中国典型区域SRTM与ASTER GDEM高程精度评价[J].中国地质大学学报:地球科学,2013,38(4):887-897.
[16] 宗继彪,叶庆华,田立德.基于ICESat/GLAS,SRTM DEM和GPS观测青藏高原纳木那尼冰面高程变化(2000—2010年)[J].科学通报,2014,59(21):2108-2118.
[17] Zhang Q,Yang Q,Wang C.SRTM error distribution and its associations with landscapes across China[J].Photogrammetric Engineering & Remote Sensing,2016,82(2):135-148.
[2] Ioannidis C,Xinogalas E,Soile S.Assessment of the global digital elevation models ASTER and SRTM in Greece[J].Empire Survey Review,2014,46(338):342-354.
[3] Shortridge A,Messina J.Spatial structure and landscape associations of SRTM error[J].Remote Sensing of Environment,2011,115(6):1576-1587.
[4] Zhao G,Xue H,Ling F.Assessment of ASTER GDEM Performance by Comparing with SRTM and ICESat/GLAS Data in Central China[C]//The 18th International Conference on Geoinformatics:GIScience in Change,Geoinformatics 2010,Beijing:Peking University,2010.
[5] 郭笑怡,张洪岩,张正祥.ASTER GDEM与SRTM3数据质量精度对比分析[J].遥感技术与应用,2011,26(3):334-339.
[6] Mukul M,Srivastava V,Mukul M.Accuracy analysis of the 2014—2015 Global Shuttle Radar Topography Mission(SRTM)1 arc-sec C-Band height model using International Global Navigation Satellite System Service(IGS)Network[J].Journal of Earth System Science,2016,125(5):1-9.
[7] Yue L,Shen H,Zhang L,et al.High-quality seamless DEM generation blending SRTM-1,ASTER GDEM v2 and ICESat/GLAS observations[J].Isprs Journal of Photogrammetry & Remote Sensing,2017,123:20-34.
[8] Wang X,Holland D M,Gudmundsson G H.Accurate coastal DEM generation by merging ASTER GDEM and ICESat/GLAS data over Mertz Glacier,Antarctica[J].Remote Sensing of Environment,2018,206:218-230.
[9] Proulx-Bourque J S,Magagi R,O′Neill N T.Filtering global land and surface altimetry data(GLA14) for elevation accuracy determination[J].Photogrammetric Engineering & Remote Sensing,2015,81(9):701-707.
[10] Treichler D,K??b A.Snow depth from ICESat laser altimetry:A test study in southern Norway[J].Remote Sensing of Environment,2017,191:389-401.
[11] Zhao S,Cheng W,Zhou C,et al.Using MLR to model the vertical error distribution of ASTER GDEM V2 data based on ICESat/GLA14 data in the Loess Plateau of China[J].Zeitschrift Fur Geomorphologie,2017,61(2):9-26.
[12] 武文娇,章诗芳,赵尚民.SRTM1 DEM与ASTER GDEM V2数据的对比分析[J].地球信息科学学报,2017,19(8):1108-1115.
[13] 万杰,廖静娟,许涛,等.基于ICESat/GLAS高度计数据的SRTM数据精度评估:以青藏高原地区为例[J].国土资源遥感,2015,27(1):100-105.
[14] 李鹏,李振洪,施闯,等.中国地区30 m分辨率SRTM质量评估[J].测绘通报,2016(9):24-28.
[15] 杜小平,郭华东,范湘涛.基于ICESat/GLAS数据的中国典型区域SRTM与ASTER GDEM高程精度评价[J].中国地质大学学报:地球科学,2013,38(4):887-897.
[16] 宗继彪,叶庆华,田立德.基于ICESat/GLAS,SRTM DEM和GPS观测青藏高原纳木那尼冰面高程变化(2000—2010年)[J].科学通报,2014,59(21):2108-2118.
[17] Zhang Q,Yang Q,Wang C.SRTM error distribution and its associations with landscapes across China[J].Photogrammetric Engineering & Remote Sensing,2016,82(2):135-148.