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On the Application of Nighttime Sensors for Rapid Detection of Areas Impacted by Disasters

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Geomatics Solutions for Disaster Management

Abstract

Today a few sensors operating at night are available in the visible/near infrared part of the spectrum, e.g., the U.S. Defense Meteorological Satellite Program Operational Linescan System (DMSP/OLS). However, in the case of DMSP/OLS, the availability of a series of satellites arranged in a constellation and the width of the sensor’s swath allows Earth coverage twice nightly. This can result useful in the aftermath of a natural disaster such as earthquake, when first responders providing relief action need to know the location and the extent of the areas of damages, the potential amount of population involved and the place where survivors are concentrated. Naturally, after this prompt detection of the areas affected by the event, the corresponding very high spatial resolution satellite images can be acquired to obtain an accurate overview of the actual damages. In fact, the availability of a preliminary fast estimate of the areas mainly impacted can support a suitable selection of the very high spatial resolution (VHSR) satellite images acquisition time because these sensors are characterized by a very small frame size that makes unpractical a blind acquisition of the whole region possibly impacted. This way to proceed is also compatible with the longer time usually needed to obtain a VHSR image of a given area of interest, due to the orbital and observation geometry constraints.

Even if it is high, the OLS sensor’s sensitivity could be insufficient to detect settlements with reduced artificial lights, as is often the case in the selected regions of interest. Moreover, in many cases, as for informal settlements following the occurrence of natural or man-made disasters, only the presence of bone-fires could reveal the presence of a human community. As a consequence, it would be necessary to observe the affected areas using wavelengths in the Middle-Wave Infrared region of the spectrum (∼ 4 µm), which is presently not feasible due to the limited sensitivity of available sensors. Nevertheless a couple of examples of the results obtainable using night-time images in these scenarios are provided.

To overcome the difficulties described above, this study focuses on a design analysis of a new night-time sensor. The study is based on accurate simulations of the expected radiance scenario reaching the sensor. This, in fact, is required to assess the characteristics of a new sensor capable of detecting the desired target sources (lights/bone-fires).

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References

  • Amaral S, Camara G, Monteiro AMV, Eldvige C, Quintanilha JA (2001) Assessing nighttime DMSP/OLS data for detection of human settlements in the Brazilian Amazonia, http://www.dpi.inpe.br/gilberto/papers/silvana_sbsr2001.pdf (last date accessed: February 26, 2007)

    Google Scholar 

  • Cinzano P, Falchi F, Eldvige CD, Baugh KE (2000) The artificial night sky brightness mapped from DMSP satellite Operational Linescan System measurements, Mon. Not. R. Astron. Soc. 318, 641–657, (http://www.inquinamentoluminoso.it/cinzano/download/mnras_paper.pdf, last date accessed February 26, 2007)

    Article  Google Scholar 

  • Elvidge CD, Baugh KE, Kihn EA, Kroehl HW, Davis ER (1999) Mapping city lights with nighttime data from DMSP-OLS, Photogrammetric Engineering & and Remote Sensing, 64(6): 727–734.

    Google Scholar 

  • De la Cruz A et al. (2005) EUSC presentation: “Indo-Pakistan Integrated Test Case: Nightlight Methodology for Humanitarian Response”. GMOSS Graz meeting. December 13–14, 2005.

    Google Scholar 

  • De la Cruz A et al. (2004) EUSC presentation: “Nightlight monitoring of refugee camps during the crises of Rwanda (1994) and the African Great Lakes (1996)”. GMOSS Population Monitoring Workshop at JRC.

    Google Scholar 

  • Pluim JPW, Maintz JBA, Viergever MA (2003) Mutual Information based registration of Medical Images: a survey, IEEE Transactions on Medical Imaging, 22(8): 986–1004.

    Article  Google Scholar 

  • Sutton C, Roberts D, Eldvige C, and Baugh K (2001) Census from Heaven: an estimate of the global human population using night-time satellite imagery, International Journal of Remote Sensing, 22(16): 3061–3076.

    Article  Google Scholar 

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© 2007 Springer-Verlag Berlin Heidelberg

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de la Cruz, A. et al. (2007). On the Application of Nighttime Sensors for Rapid Detection of Areas Impacted by Disasters. In: Li, J., Zlatanova, S., Fabbri, A.G. (eds) Geomatics Solutions for Disaster Management. Lecture Notes in Geoinformation and Cartography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72108-6_2

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