测绘通报 ›› 2018, Vol. 0 ›› Issue (9): 39-44.doi: 10.13474/j.cnki.11-2246.2018.0276

• 学术研究 • 上一篇    下一篇

多源DEM数据地形因子表达准确性分析

王宁1, 刘万青1, 姚志宏2, 刘春春1   

  1. 1. 西北大学城市与环境学院, 陕西 西安 710127;
    2. 华北水利水电大学资源与环境学院, 河南 郑州 450046
  • 收稿日期:2018-03-22 修回日期:2018-08-03 出版日期:2018-09-25 发布日期:2018-09-29
  • 作者简介:王宁(1994-),男,硕士生,主要研究方向为数字地形分析、遥感影像分析。E-mail:ningwang24@163.com
  • 基金资助:
    国家重点研发计划水资源高效开发利用重点专项(2016YFC0402402);陕西省水土保持标准体系修编项目(SZTGK-XA-161203-GC);水利部黄土高原水土流失过程与控制重点实验室开放课题基金(2016005)

Analysis of the Expression Accuracy about Topographical Factors in Multi-sources DEM Data

WANG Ning1, LIU Wanqing1, YAO Zhihong2, LIU Chunchun1   

  1. 1. College of Urban and Environmental Science, Northwest University, Xi'an 710127, China;
    2. College of Resources and Environment, North China University of Water Resources and Electric Power, Zhengzhou 450046, China
  • Received:2018-03-22 Revised:2018-08-03 Online:2018-09-25 Published:2018-09-29
  • Contact: 刘万青。E-mail:mclwq@sina.com E-mail:mclwq@sina.com

摘要: 在不同分组条件下,以1:10 000数字地形图构建的DEM作为参考,对由资源三号正后视立体像对构建的DEM、SRTM和ASTER GDEM提取的高程、坡度和坡长进行对比分析,结果表明:①资源三号数据构建的10 m分辨率DEM表现出最高数据质量,增加控制点个数及提高DEM生产的分辨率,并未提高数据质量;②在海拔1000~1100 m,分辨率30 m的SRTM和ASTER GDEMv2数据质量凸显绝对优势,但在海拔1100~1300 m及不同土地利用类型分组中,资源三号数据构建的10 m分辨率DEM数据质量更高;③建立了基于多组样本数据进行相似性评价的指标——SI指数,综合试验样本的均值和标准差定量化评价与参考样本数据的相似程度,可定量反映数据组之间的相似关系。

关键词: 资源三号, SRTM, ASTER GDEM, 地形因子, 精度评估

Abstract: In this paper,under the different grouping conditions,DEMs constructed by ZY-3 stereo images,containing SRTM and ASTER GDEM,compare their slope and slope length to the reference DEM which is constructed by 1:10 000 digital topographic maps. The results show that the 10 mresolution DEM constructed by ZY-3 data shows the highest quality. Increasing the number of control points and the resolution of DEM production don't improve the quality of the data. The 30 m resolution SRTM and the ASTER GDEMv2 show the absolute advantages at altitudes of 1000~1100 m,but the 10 m resolution DEM constructed by ZY-3 data does well at altitudes of 1100~1300 m and in different land use groups. Established the similarity evaluation index——SI which is based on multiple sets of sample data. SI could evaluate the similarity quantitatively between the reference sample data and the experimental sample data by synthesize the Mean and SD. SI is an important indicator that quantitatively reflects the similarity between data sets.

Key words: ZY-3, SRTM, ASTER GDEM, topographical factor, accuracy evaluation

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