Validity and Reproducibility of Typhoon Damage Estimates using Satellite Maps and Images

Authors

  • Wenceslao C. Perante Associate Professor V, Eastern Visayas State University (EVSU), Tacloban City, Leyte, 6500, PHILIPPINES

Keywords:

Online applications
satellite maps
disaster response
satellite imagery
Cohen’s kappa
intraclass correlations (ICC)
Typhoon Haiyan
validity and reproducibility of data

Abstract

The use of satellite maps and images in rapid assessments offers many advantages, but questions on validity, and reproducibility of data obtained is always a concern. This study usedsatellite maps and images to quickly assess the level of damage, the number of affected households, the number of affected individuals, and the status of roads and bridges after Typhoon Haiyan hit Tacloban City in November 8, 2013.  Cohen’s Kappa and Intraclass Correlations (ICC) were used to determine validity and reproducibility of visual damage assessment data derived from pre and post satellite maps. Findings suggest that the use of satellite maps and imagery is valid and reproducible; but for estimates on affected households and individuals, results are poor to moderate suggesting that assessors for this parameter should have a background, training, and experience on visual rapid assessments to yield better results. This method offers many advantages, but it also has many limitations. This study presents the processes employed in visual data interpretation using satellite maps and images; recommendations for improvements are also presented. The use of satellite maps and images may be employed in situations requiring quick data that are vital in creating an effective, and informed emergency response after a natural disaster, thereby, making delivery of intervention, relief, and services to the affected public faster and more efficient.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

References

Aickin, M. 1990. Maximum likelihood estimation of agreement in the constant predictive probability model and its relation to Cohen's kappa. Biometrics 46 (2):293-302. DOI: https://doi.org/10.2307/2531434

Andres, A. M., and P. F. Marzo. 2004. Delta: A new measure of agreement between two raters. British Journal of Mathematical & Statistical Psychology 57:1-19. DOI: https://doi.org/10.1348/000711004849268

Barnes, C. F., Fritz, H. M., and Yoo, J.: Hurricane disaster assessment with image-driven data mining in high-resolution satellite imagery, IEEE Transactions on Geoscience and Remote Sensing: Special Issue: Remote Sensing for Major Disaster Prevention, Monit. Assess., 45, 1631–1640, 2007. DOI: https://doi.org/10.1109/TGRS.2007.890808

Belen, Ruel DM. (2015),Mapping of the Typhoon Haiyan Affected Areas in the Philippines Using Geospatial Data and Very High Resolution Satellite Images, Twentieth United Nations Regional Cartographic Conference for Asia and the Pacific, United Nations, E/Conf.104/IP.15.

Burrough, P.A. and McDonnell, R.A. (1998). Principles of Geographical Information Systems. Oxford University Press, New York.

Cohen, Jacob (1960). "A coefficient of agreement for nominal scales". Educational and Psychological Measurement 20 (1): 37–46. DOI: https://doi.org/10.1177/001316446002000104

European Space Company, Typhoon Haiyan/Yolanda Swipe Map, as published by Environmental Systems Research Institute (ESRI). http://www.esri.com/services/disaster-response/hurricanes/typhoon-haiyan-yolanda-swipe-map Accessed on January 13, 2016.

Fisher, Ronald A. (1954). Statistical Methods for Research Workers (Twelfth ed.). Edinburgh: Oliver and Boyd. ISBN 0-05-002170-2.

Galton, F. (1892). Finger Prints Macmillan, London. DOI: https://doi.org/10.2307/2842054

Gokon, H. and Koshimura, S.: Mapping of building damage of the 2011 Tohoku earthquake tsunami in Miyagi prefecture, Coast. Eng. J., 54, 1250006-1, doi:10.1142/S0578563412500064, 2012. DOI: https://doi.org/10.1142/S0578563412500064

Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics 1977; 33:159-74. DOI: https://doi.org/10.2307/2529310

Liu, Wen, Masashi Matsuoka, Bruno Adriano, Erick Mas, and Shunichi Koshimura. "Damage detection due to the typhoon haiyan from high-resolution SAR images." In Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International, pp. 4828-4831. IEEE, 2014.

Mas, E., Koshimura, S., Suppasri, A., Matsuoka, M., Matsuyama, M., Yoshii, T., Jimenez, C., Yamazaki, F., and Imamura, F.: Developing Tsunami fragility curves using remote sensing and survey data of the 2010 Chilean Tsunami in Dichato, Nat. Hazards Earth Syst. Sci., 12, 2689–2697, doi:10.5194/nhess-12-2689-2012, 2012. DOI: https://doi.org/10.5194/nhess-12-2689-2012

Mas, E., Kure, S., Bricker, J., Adriano, B., Yi, C., Suppasri, A., and Koshimura, S.: Field survey and damage inspection after the 2013 Typhoon Haiyan in The Philippines, J. Jpn. Soc. Civil Eng., Ser. B2 (Coast. Eng.), 70-2, I_1451–I_1455, 2014. DOI: https://doi.org/10.2208/kaigan.70.I_1451

Miller, J.W. (1991) “Scientific Diving Procedures,” NOAA Diving Manual, National Oceanic and Atmospheric Administration, Manned Undersea Science and Technology Office, U.S. Department of Commerce, Washington, D.C., pages 8-28 to 8-30.

NDRRMC Sit. Rep. No. 46. Effects of Typhoon “YOLANDA” (HAIYAN), Tech rep., National Disaster Reduction and Management Council (NDRRMC) 28 November 2013.

NDRRMC: Sit. Rep. No. 108 Effects of Typhoon “YOLANDA” (HAIYAN), Tech rep., National Disaster Reduction and Management Council (NDRRMC), 2014.

Portney LG & Watkins MP (2000). Foundations of clinical research applications to practice. Prentice Hall Inc. New Jersey ISBN 0-8385-2695-0 p 560-567.

Ramsey, E. III; Werle, D.; Suzuoki, Y.; Rangoonwala, A., and LU, Z., 2012. Limitations and potential of satellite imagery to monitor environmental response to coastal flooding. Journal of Coastal Research, 28(2), 457–476. West Palm Beach (Florida), ISSN 0749-0208. DOI: https://doi.org/10.2112/JCOASTRES-D-11-00052.1

Rogers, Caroline S., Ginger Garrison, Rikki Grober, Zandy-Marie Hillis, and Mary Ann Franke. "Coral Reef Monitoring Manual for the Caribbean and Western Atlantic." (1994).

Smeeton, N.C. (1985). "Early History of the Kappa Statistic". Biometrics 41: 795. JSTOR 2531300.

Smith, GF., O’Donoghue, P., O’Hora, K. and Delaney, E. (2011). Best Practice Guidance for Habitat Survey and Mapping, The Heritage Council Church Lane, Kilkenny, Ireland, 71pp.

Vanbelle, Sophie (2009). Agreement between raters and groups of raters.Dissertation de Docteur en Sciences. UNIVERSITE DE LIEGE FACULTE DES SCIENCES D´epartement de Mathematique, pp.226. DOI: https://doi.org/10.1111/j.1467-9574.2008.00412.x

Wegscheider, S., Schneiderhan, T., Mager, A., Zwenzner, H., Post, J., and Strunz, G.: Rapid mapping in support of emergency response after earthquake events, Nat. Hazards, 68, 181–195, doi:10.1007/s11069-013-0589-y, 2013. DOI: https://doi.org/10.1007/s11069-013-0589-y

Westen, K., Soeters, R., Buchroithner, M. (1996). Potential and Limitations of Satellite Remote Sensing for Geo-Disaster Reduction. International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B6. Vienna.

Zaiontz, C. (2016). http://www.real-statistics.com/reliability/intraclass-correlation/. Accessed on March 8, 2016.

Published

2016-06-06

How to Cite

Perante, W. C. (2016). Validity and Reproducibility of Typhoon Damage Estimates using Satellite Maps and Images. Asian Journal of Applied Science and Engineering, 5(1), 105–116. https://doi.org/10.18034/ajase.v5i1.70

Issue

Section

Articles