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Comparison of remotely sensed water stages from LiDAR, topographic contours and SRTM

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Comparison of remotely sensed water stages from LiDAR, topographic contours and SRTM. / Schumann, G.; Matgen, P.; Cutler, M. E. J.; Black, A.; Hoffmann, L.; Pfister, L.

In: ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 63, No. 3, 05.2008, p. 283-296.

Research output: Contribution to journalArticle

Harvard

Schumann, G, Matgen, P, Cutler, MEJ, Black, A, Hoffmann, L & Pfister, L 2008, 'Comparison of remotely sensed water stages from LiDAR, topographic contours and SRTM' ISPRS Journal of Photogrammetry and Remote Sensing, vol 63, no. 3, pp. 283-296., 10.1016/j.isprsjprs.2007.09.004

APA

Schumann, G., Matgen, P., Cutler, M. E. J., Black, A., Hoffmann, L., & Pfister, L. (2008). Comparison of remotely sensed water stages from LiDAR, topographic contours and SRTM. ISPRS Journal of Photogrammetry and Remote Sensing, 63(3), 283-296. 10.1016/j.isprsjprs.2007.09.004

Vancouver

Schumann G, Matgen P, Cutler MEJ, Black A, Hoffmann L, Pfister L. Comparison of remotely sensed water stages from LiDAR, topographic contours and SRTM. ISPRS Journal of Photogrammetry and Remote Sensing. 2008 May;63(3):283-296. Available from: 10.1016/j.isprsjprs.2007.09.004

Author

Schumann, G.; Matgen, P.; Cutler, M. E. J.; Black, A.; Hoffmann, L.; Pfister, L. / Comparison of remotely sensed water stages from LiDAR, topographic contours and SRTM.

In: ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 63, No. 3, 05.2008, p. 283-296.

Research output: Contribution to journalArticle

Bibtex - Download

@article{2fd7657ab0fc4804b1911c2351e5f722,
title = "Comparison of remotely sensed water stages from LiDAR, topographic contours and SRTM",
keywords = "LiDAR, SRTM, Topographic contour DEM, Water stage, Flood inundation model, Digital elevation models",
author = "G. Schumann and P. Matgen and Cutler, {M. E. J.} and A. Black and L. Hoffmann and L. Pfister",
year = "2008",
doi = "10.1016/j.isprsjprs.2007.09.004",
volume = "63",
number = "3",
pages = "283--296",
journal = "ISPRS Journal of Photogrammetry and Remote Sensing",
issn = "0924-2716",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Comparison of remotely sensed water stages from LiDAR, topographic contours and SRTM

A1 - Schumann,G.

A1 - Matgen,P.

A1 - Cutler,M. E. J.

A1 - Black,A.

A1 - Hoffmann,L.

A1 - Pfister,L.

AU - Schumann,G.

AU - Matgen,P.

AU - Cutler,M. E. J.

AU - Black,A.

AU - Hoffmann,L.

AU - Pfister,L.

PY - 2008/5

Y1 - 2008/5

N2 - Digital elevation models (DEMs) are at the core of most environmental process modelling and disaster management. In flood inundation modelling, surface elevation constitutes one of the most important model boundary conditions. With the availability of high-precision DEMs (e.g. LiDAR) and globally available DEMs (e.g. SRTM InSAR) a big step seems to have been taken in terms of hydraulic modelling application or hydraulic information retrieval from such DEMs, with high potential in particular for ungauged basins. Comparative studies exist that report on both the validation of different remotely sensed elevation sources and their use for both hydrologic and hydraulic studies. To contribute to the existing literature on DEMs and hydraulic information, this study aims at comparing water stages derived from LiDAR, topographic contours and SRTM. A flood inundation model calibrated with distributed ground-surveyed high water marks is used to evaluate the remotely sensed water stages. The results show that, as expected, LiDAR derived water stages exhibit the lowest RMSE (0.35 m), followed by the contour DEM (0.7 m). A relatively good performance of the SRTM (1.07 m), which is possibly linked to the low-lying floodplain, suggests that the SRTM is a valuable source for initial vital flood information extraction in large, homogeneous floodplains. Subsequent 3D flood mapping from remotely sensed water stages confirms this but also indicates that flood mapping with low-resolution, low-precision surface elevation data is hardly possible on the small scale, as the accuracy of the resulting map depends too much on DEM uncertainties and errors both in the horizontal and vertical directions.

AB - Digital elevation models (DEMs) are at the core of most environmental process modelling and disaster management. In flood inundation modelling, surface elevation constitutes one of the most important model boundary conditions. With the availability of high-precision DEMs (e.g. LiDAR) and globally available DEMs (e.g. SRTM InSAR) a big step seems to have been taken in terms of hydraulic modelling application or hydraulic information retrieval from such DEMs, with high potential in particular for ungauged basins. Comparative studies exist that report on both the validation of different remotely sensed elevation sources and their use for both hydrologic and hydraulic studies. To contribute to the existing literature on DEMs and hydraulic information, this study aims at comparing water stages derived from LiDAR, topographic contours and SRTM. A flood inundation model calibrated with distributed ground-surveyed high water marks is used to evaluate the remotely sensed water stages. The results show that, as expected, LiDAR derived water stages exhibit the lowest RMSE (0.35 m), followed by the contour DEM (0.7 m). A relatively good performance of the SRTM (1.07 m), which is possibly linked to the low-lying floodplain, suggests that the SRTM is a valuable source for initial vital flood information extraction in large, homogeneous floodplains. Subsequent 3D flood mapping from remotely sensed water stages confirms this but also indicates that flood mapping with low-resolution, low-precision surface elevation data is hardly possible on the small scale, as the accuracy of the resulting map depends too much on DEM uncertainties and errors both in the horizontal and vertical directions.

KW - LiDAR

KW - SRTM

KW - Topographic contour DEM

KW - Water stage

KW - Flood inundation model

KW - Digital elevation models

U2 - 10.1016/j.isprsjprs.2007.09.004

DO - 10.1016/j.isprsjprs.2007.09.004

M1 - Article

JO - ISPRS Journal of Photogrammetry and Remote Sensing

JF - ISPRS Journal of Photogrammetry and Remote Sensing

SN - 0924-2716

IS - 3

VL - 63

SP - 283

EP - 296

ER -

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