Validation of the shuttle radar topography mission height data

被引:62
|
作者
Brown, CG [1 ]
Sarabandi, K
Pierce, LE
机构
[1] Lawrence Livermore Natl Lab, Livermore, CA 94550 USA
[2] Univ Michigan, Radiat Lab, Dept Elect & Comp Engn, Ann Arbor, MI 48109 USA
来源
基金
美国国家航空航天局;
关键词
digital elevation model (DEM); shuttle radar topography mission; validation;
D O I
10.1109/TGRS.2005.851789
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
The Shuttle Radar Topography Mission (SRTM) provided data for detailed topographical maps of about 80% of the Earth's land. surface. SRTM consisted of single-pass C- and X-band interferometric synthetic aperture radars (INSARs). In order to utilize SRTM data in remote sensing applications the data must be calibrated and validated. This paper presents The University of Michigan's SRTM calibration and validation campaign and our results using recently acquired C-band SRTM data of our calibration sites. An array of calibration targets was deployed with the intention of determining the accuracy of INSAR-derived digital elevation maps. The array spanned one of the X-band swaths and stretched from Toledo, OH to Lansing, MI. Passive and active targets were used. The passive targets included trihedrals and tophats. The locations in latitude, longitude, and elevation of the point targets were determined using differential GPS. We also acquired U.S. Geological Survey (USGS) digital elevation models (DEMs) to use in the calibration and validation work. The SRTM data used in this study are both Principal Investigator Processor (PI) data, which are not the refined final data product, and the ground data processing system (GDPS) data, which are a more refined data product. We report that both datasets for southeastern Michigan exceed the SRTM mission specifications for absolute and relative height errors for our point targets. A more extensive analysis of the SRTM GDPS data indicates that it meets the absolute and relative accuracy requirements even for bare surface areas. In addition, we validate the PI height error files, which are used to provide a statistical characterization of the difference between the SRTM GDPS and USGS DEM heights. The statistical characterization of the GDPS-USGS difference is of interest in forest parameter retrieval algorithms.
引用
收藏
页码:1707 / 1715
页数:9
相关论文
共 50 条
  • [31] Investigation of shuttle radar topography mission data of the possible impact structure at Serra da Cangalha, Brazil
    Reimold, WU
    Cooper, GRJ
    Romano, R
    Cowan, DR
    Koeberl, C
    METEORITICS & PLANETARY SCIENCE, 2006, 41 (02) : 237 - 246
  • [32] The shuttle radar topography mission - a new class of digital elevation models acquired by spaceborne radar
    Rabus, B
    Eineder, M
    Roth, A
    Bamler, R
    ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2003, 57 (04) : 241 - 262
  • [33] Drainage basin morphometry: a global snapshot from the shuttle radar topography mission
    Guth, P. L.
    HYDROLOGY AND EARTH SYSTEM SCIENCES, 2011, 15 (07) : 2091 - 2099
  • [34] Shuttle Radar Topography Mission (SRTM) flight system design and operations overview
    Shen, Y
    Shaffer, SJ
    Jordan, RL
    MICROWAVE REMOTE SENSING OF THE ATMOSPHERE AND ENVIRONMENT II, 2000, 4152 : 167 - 178
  • [35] First results on ocean wave imaging from the Shuttle radar topography mission
    Bao, M
    Schulz-Stellenfleth, J
    Lehner, S
    Eineder, M
    IGARSS 2001: SCANNING THE PRESENT AND RESOLVING THE FUTURE, VOLS 1-7, PROCEEDINGS, 2001, : 584 - 586
  • [36] Vertical Accuracy of Shuttle Radar Topography Mission (SRTM) Elevation and Void-Filled Data in the Libyan Desert
    Elsner, Paul
    Bonnici, Michael
    INTERNATIONAL JOURNAL OF ECOLOGY & DEVELOPMENT, 2007, 8 (03) : 66 - 80
  • [37] Mapping the Brazilian Amazon fluvial sensitivity index to oil spills with Shuttle Radar Topography Mission (SRTM) data
    da Silva, Patricia Mamede
    de Miranda, Fernando Pellon
    Landau, Luiz
    GEOCARTO INTERNATIONAL, 2018, 33 (06) : 555 - 572
  • [38] Calibration of the shuttle radar topography mission X-SAR instrument using a synthetic altimetry data model
    Helm, A
    Braun, A
    Eickschen, S
    Schöne, T
    CANADIAN JOURNAL OF REMOTE SENSING, 2002, 28 (04) : 573 - 580
  • [39] Cloud-based Lineament Extraction of Topographic Lineaments from NASA Shuttle Radar Topography Mission Data
    Al-Obeidat, Feras (feras.al-obeidat@zu.ac.ae), 2016, Elsevier B.V., Netherlands (83):
  • [40] Cloud-Based Lineament Extraction of Topographic Lineaments from NASA Shuttle Radar Topography Mission Data
    Al-Obeidat, Feras
    Feltrin, Leonardo
    Marir, Farhi
    7TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT 2016) / THE 6TH INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY INFORMATION TECHNOLOGY (SEIT-2016) / AFFILIATED WORKSHOPS, 2016, 83 : 1250 - 1255