Mapping from ASTER stereo image data: DEM validation and accuracy assessment

Hirano, Atsushi; Welch, R.; Lang, Harold R.

doi:10.1016/s0924-2716(02)00164-8

Cited by 337 publications

(208 citation statements)

References 7 publications

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“…2). For a 15 km × 30 km subset including the erroneous areas of the Nexpayantla gorge, the RMS of the vertical error relative to the SRTM DEM was 38 m with sporadic maximum errors of up to about 500 m. A 10 km × 10 km subset excluding the erroneous areas showed an RMSE of 27 m. These results are consistent with recent findings indicating an RMSE of the elevation difference between 15 and 70 m depending on topographic conditions (Kääb, 2002;Hirano et al, 2003;Stevens et al, 2004;Kääb, 2005). These error ranges refer to an ASTER DEM generated with 30 m resolution (2 image pixels).…”

Section: Srtm Dem Vs Aster Demsupporting

confidence: 89%

Evaluation of ASTER and SRTM DEM data for lahar modeling: A case study on lahars from Popocatépetl Volcano, Mexico

Huggel

Schneider

Miranda

et al. 2008

Journal of Volcanology and Geothermal Research

115

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Lahars are among the most serious and far-reaching volcanic hazards. In regions with potential interactions of lahars with populated areas and human structures the assessment of the related hazards is crucial for undertaking appropriate mitigating actions and reduce the associated risks. Modeling of lahars has become an important tool in such assessments, in particular where the geologic record of past events is insufficient. Mass-flow modeling strongly relies on digital terrain data. Availability of digital elevation models (DEMs), however, is often limited and thus an obstacle to lahar modeling. Remote-sensing technology has now opened new perspectives in generating DEMs. In this study, we evaluate the feasibility of DEMs derived from the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and the Shuttle Radar Topography Mission (SRTM) for lahar modeling on Popocatépetl Volcano, Mexico. Two GIS-based models are used for lahar modeling, LAHARZ and a flow-routing-based debris-flow model (modified single-flow direction model, MSF), both predicting areas potentially affected by lahars. Results of the lahar modeling show that both the ASTER and SRTM DEMs are basically suitable for use with LAHARZ and MSF. Flow-path prediction is found to be more reliable with SRTM data, though with a coarser spatial resolution. Errors of the ASTER DEM affecting the prediction of flow paths due to the sensor geometry are associated with deeply incised gorges with north-facing slopes. LAHARZ is more sensitive to errors of the ASTER DEM than the MSF model. Lahar modeling with the ASTER DEM results in a more finely spaced predicted inundation area but does not add any significant information in comparison with the SRTM DEM. Lahars at Popocatépetl are modeled with volumes of 1 × 10 5 to 8 × 10 6 m 3 based on ice-melt scenarios of the glaciers on top of the volcano and data on recent and historical lahar events. As regards recently observed lahars, the travel distance of lahars of corresponding volume modeled with LAHARZ falls short by 2 to 4 km. An important finding is that the travel distance of potential lahar events modeled with LAHARZ may differ by about 2 km when using SRTM or ASTER data because of varying lateral flow-volume distribution. As a consequence, verification and sensitivity analysis of the DEM is fundamental to deriving hazard maps from predicted modeled inundation areas. Because of the global coverage of this type of remote-sensing data, the conclusion that both SRTM and ASTER-derived DEMs are feasible for lahar modeling opens a wide field of application in volcanic-hazards studies.

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Section: Srtm Dem Vs Aster Demsupporting

confidence: 89%

Evaluation of ASTER and SRTM DEM data for lahar modeling: A case study on lahars from Popocatépetl Volcano, Mexico

Huggel

Schneider

Miranda

et al. 2008

Journal of Volcanology and Geothermal Research

115

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“…Errors related to the parallax matching often result in blunders rather than bias, whereas errors related to the image orientation will typically induce bias. ASTER DEM uncertainty is reported to be typically within 15-60 m RMSE in the vertical depending upon terrain type (Toutin, 2002Kääb et al, 2002;Hirano et al, 2003;Kääb, 2005;Fujisada et al, 2005) and between 15 and 50 m horizontally Iwasaki and Fujisada, 2005). SPOT5 uncertainty is reported to be between 10-25 m vertically (Berthier and Toutin, 2008;Korona et al, 2009) and greater than 15 m in the horizontal (Bouillon et al, 2006;Berthier and Toutin, 2008).…”

Section: Stereoscopic Demsmentioning

confidence: 99%

Co-registration and bias corrections of satellite elevation data sets for quantifying glacier thickness change

2011

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Abstract.There are an increasing number of digital elevation models (DEMs) available worldwide for deriving elevation differences over time, including vertical changes on glaciers. Most of these DEMs are heavily post-processed or merged, so that physical error modelling becomes difficult and statistical error modelling is required instead. We propose a three-step methodological framework for assessing and correcting DEMs to quantify glacier elevation changes: (i) remove DEM shifts, (ii) check for elevation-dependent biases, and (iii) check for higher-order, sensor-specific biases. A simple, analytic and robust method to co-register elevation data is presented in regions where stable terrain is either plentiful (case study New Zealand) or limited (case study Svalbard). The method is demonstrated using the three global elevation data sets available to date, SRTM, ICESat and the ASTER GDEM, and with automatically generated DEMs from satellite stereo instruments of ASTER and SPOT5-HRS. After 3-D co-registration, significant biases related to elevation were found in some of the stereoscopic DEMs. Biases related to the satellite acquisition geometry (along/cross track) were detected at two frequencies in the automatically generated ASTER DEMs. The higher frequency bias seems to be related to satellite jitter, most apparent in the backlooking pass of the satellite. The origins of the more significant lower frequency bias is uncertain. ICESat-derived elevations are found to be the most consistent globally available elevation data set available so far. Before performing regional-scale glacier elevation change studies or mosaicking DEMs from multiple individual tiles (e.g. ASTER GDEM), we recommend to co-register all elevation data to ICESat as a global vertical reference system.

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“…The region has an area of 7575 km 2 . A 30 m DEM is available from the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) [Hirano et al, 2003, Yamaguchi et al, 1998] (Figure 2d). The region has 1,493 m total relief and varies from forested mountains in the east to agricultural plains in the west.…”

Section: Test Site Propertiesmentioning

confidence: 99%

Downscaling soil moisture over regions that include multiple coarse-resolution grid cells

Hoehn

Niemann

Green

et al. 2017

Remote Sensing of Environment

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Mapping from ASTER stereo image data: DEM validation and accuracy assessment

Cited by 337 publications

References 7 publications

Evaluation of ASTER and SRTM DEM data for lahar modeling: A case study on lahars from Popocatépetl Volcano, Mexico

Evaluation of ASTER and SRTM DEM data for lahar modeling: A case study on lahars from Popocatépetl Volcano, Mexico

Co-registration and bias corrections of satellite elevation data sets for quantifying glacier thickness change

Downscaling soil moisture over regions that include multiple coarse-resolution grid cells

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