Influence of DEM resolution on topographic correction models using spot satellite image

Ting Pin Chiu, Su-Fen Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Topographic correction models (TCMs) are valid on satellite image data preprocessing steps. The illumination angle may be sensitive to different terrain slope and aspect conditions base on sun-terrain-sensor geometry. Although the topographic correction is influenced by the sun azimuth and zenith angle, the correction result can be equally in the same image status. By contrast, the terrain factors change with different digital elevation model (DEM) resolution in the topographic correction equations and cause a significant effect. Slope is sensitive in rugged terrain, and aspect is impressionable at flat surface at a coarse DEM resolution data. As the DEM resolution lead a distinct result on TCMs, this research is aimed to examine the impact of DEM resolution on the accuracy of terrain representation and of the gradient determined. In this study, five TCMs, including cosine correction, C correction, SCS correction, SCS+C correction and Minnaert correction models are compared by different resolutions using SPOT image data. The 5 meter DEM obtained from Ministry of the interior will be resampled to 10 to 500 meters to test those topographic models sustainability on Lienhuachih Research Center. The accuracy of five topographic correction models base on different DEM resolution will be evaluated by root-mean-square error (RMSE).

Original languageEnglish
Title of host publicationACRS 2015 - 36th Asian Conference on Remote Sensing
Subtitle of host publicationFostering Resilient Growth in Asia, Proceedings
PublisherAsian Association on Remote Sensing
Publication statusPublished - 2015 Jan 1
Event36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, ACRS 2015 - Quezon City, Metro Manila, Philippines
Duration: 2015 Oct 242015 Oct 28

Other

Other36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, ACRS 2015
CountryPhilippines
CityQuezon City, Metro Manila
Period15-10-2415-10-28

Fingerprint

Satellites
Sun
Mean square error
Sustainable development
Lighting
Geometry
Sensors

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

Cite this

Chiu, T. P., & Wang, S-F. (2015). Influence of DEM resolution on topographic correction models using spot satellite image. In ACRS 2015 - 36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, Proceedings Asian Association on Remote Sensing.
Chiu, Ting Pin ; Wang, Su-Fen. / Influence of DEM resolution on topographic correction models using spot satellite image. ACRS 2015 - 36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, Proceedings. Asian Association on Remote Sensing, 2015.
@inproceedings{bbb1d7f1a7354c31adcb69cce8eab580,
title = "Influence of DEM resolution on topographic correction models using spot satellite image",
abstract = "Topographic correction models (TCMs) are valid on satellite image data preprocessing steps. The illumination angle may be sensitive to different terrain slope and aspect conditions base on sun-terrain-sensor geometry. Although the topographic correction is influenced by the sun azimuth and zenith angle, the correction result can be equally in the same image status. By contrast, the terrain factors change with different digital elevation model (DEM) resolution in the topographic correction equations and cause a significant effect. Slope is sensitive in rugged terrain, and aspect is impressionable at flat surface at a coarse DEM resolution data. As the DEM resolution lead a distinct result on TCMs, this research is aimed to examine the impact of DEM resolution on the accuracy of terrain representation and of the gradient determined. In this study, five TCMs, including cosine correction, C correction, SCS correction, SCS+C correction and Minnaert correction models are compared by different resolutions using SPOT image data. The 5 meter DEM obtained from Ministry of the interior will be resampled to 10 to 500 meters to test those topographic models sustainability on Lienhuachih Research Center. The accuracy of five topographic correction models base on different DEM resolution will be evaluated by root-mean-square error (RMSE).",
author = "Chiu, {Ting Pin} and Su-Fen Wang",
year = "2015",
month = "1",
day = "1",
language = "English",
booktitle = "ACRS 2015 - 36th Asian Conference on Remote Sensing",
publisher = "Asian Association on Remote Sensing",

}

Chiu, TP & Wang, S-F 2015, Influence of DEM resolution on topographic correction models using spot satellite image. in ACRS 2015 - 36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, Proceedings. Asian Association on Remote Sensing, 36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, ACRS 2015, Quezon City, Metro Manila, Philippines, 15-10-24.

Influence of DEM resolution on topographic correction models using spot satellite image. / Chiu, Ting Pin; Wang, Su-Fen.

ACRS 2015 - 36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, Proceedings. Asian Association on Remote Sensing, 2015.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Influence of DEM resolution on topographic correction models using spot satellite image

AU - Chiu, Ting Pin

AU - Wang, Su-Fen

PY - 2015/1/1

Y1 - 2015/1/1

N2 - Topographic correction models (TCMs) are valid on satellite image data preprocessing steps. The illumination angle may be sensitive to different terrain slope and aspect conditions base on sun-terrain-sensor geometry. Although the topographic correction is influenced by the sun azimuth and zenith angle, the correction result can be equally in the same image status. By contrast, the terrain factors change with different digital elevation model (DEM) resolution in the topographic correction equations and cause a significant effect. Slope is sensitive in rugged terrain, and aspect is impressionable at flat surface at a coarse DEM resolution data. As the DEM resolution lead a distinct result on TCMs, this research is aimed to examine the impact of DEM resolution on the accuracy of terrain representation and of the gradient determined. In this study, five TCMs, including cosine correction, C correction, SCS correction, SCS+C correction and Minnaert correction models are compared by different resolutions using SPOT image data. The 5 meter DEM obtained from Ministry of the interior will be resampled to 10 to 500 meters to test those topographic models sustainability on Lienhuachih Research Center. The accuracy of five topographic correction models base on different DEM resolution will be evaluated by root-mean-square error (RMSE).

AB - Topographic correction models (TCMs) are valid on satellite image data preprocessing steps. The illumination angle may be sensitive to different terrain slope and aspect conditions base on sun-terrain-sensor geometry. Although the topographic correction is influenced by the sun azimuth and zenith angle, the correction result can be equally in the same image status. By contrast, the terrain factors change with different digital elevation model (DEM) resolution in the topographic correction equations and cause a significant effect. Slope is sensitive in rugged terrain, and aspect is impressionable at flat surface at a coarse DEM resolution data. As the DEM resolution lead a distinct result on TCMs, this research is aimed to examine the impact of DEM resolution on the accuracy of terrain representation and of the gradient determined. In this study, five TCMs, including cosine correction, C correction, SCS correction, SCS+C correction and Minnaert correction models are compared by different resolutions using SPOT image data. The 5 meter DEM obtained from Ministry of the interior will be resampled to 10 to 500 meters to test those topographic models sustainability on Lienhuachih Research Center. The accuracy of five topographic correction models base on different DEM resolution will be evaluated by root-mean-square error (RMSE).

UR - http://www.scopus.com/inward/record.url?scp=84964012113&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84964012113&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84964012113

BT - ACRS 2015 - 36th Asian Conference on Remote Sensing

PB - Asian Association on Remote Sensing

ER -

Chiu TP, Wang S-F. Influence of DEM resolution on topographic correction models using spot satellite image. In ACRS 2015 - 36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, Proceedings. Asian Association on Remote Sensing. 2015