Namibia PDNA 2009 - GFDRR

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Relevant satellite data may be procured directly from commercial data vendors or provided under the so-called International Charter “Space and Major Disasters”, a voluntary arrangement amongst international space agencies to make their data assets available in case of disasters. The latter was triggered by the Government for the flooding events in northern Namibia (both in 2008 and 2009). Given the nature of the event, and prevailing weather conditions, a number of SAR data sets were procured (from the Canadian Radarsat and German TerraSAR-X sensors, respectively). These were processed into flood extent maps by service entities like UNOSAT and the mapping department of the German Aerospace Center (ZKI-DLR). High resolution SPOT-5 VNIR imagery was also used to generate flood extent samples around the major municipal areas. Publicly accessible copies with relevant metadata were made available to the PDNA team. A special request was made to ZKI-DLR for digital vector outlines of detected flood extent, for comparison to relevant GIS data sets that could be compiled in Namibia. JRC purchased further satellite data for field mission preparation and flood extent estimation (in particular a QuickBird very high resolution image of early April 2009 around Oshakati and a Formosat coverage of the Caprivi area). Flood maps and geo-referenced imagery were prepared as KML SuperOverlays to integrate easily into Google Earth. Figure 45: The UNOSAT flood extent map of a part of the Osumati region, derived from an ENVISAT ASAR image of 19 March 2009, provided under the International Charter “Space and Major Disasters” by the European Space Agency. Figure 46: The DLR flood extent vector map Figure 46 presents an example of a DLR flood extent vector map (light blue), derived from a Radarsat-1 SAR image of 6 March 2009, provided under the International Charter “Space and Major Disasters” by the Canadian Space Agency. The flood vector is overlaid with the data in figure 46 to highlight its use in further fine-tuning the DaLA field survey planning. Note that some of the school locations are covered by the flood extent vector, hence, are most likely candidates for an in-situ visit. 131
Useful web links and References For more information regarding technical capabilities of satellite sensors for risk management application: • http://www.space-risks.com/SpaceData/index.php?id_page=1 To access and download disaster-related mapping products: • • • • • http://www.unosat.org http://www.gdacs.com http://www.reliefweb.org http://www.zki.dlr.de/intro_en.html http://www.emergencyresponse.eu Background reading on remote sensing and GIS (in emergency response) • T.Lillesand, R.Kiefer, Remote Sensing and Image Interpretation, John Wiley & Sons 1994 • D. Brunner , G. Lemoine, F.X. Thoorens and L. Bruzzone, 2009, Distributed geospatial data processing functionality to support collaborative and rapid emergency response, IEEE JSTARS, Vol. 2, No. 1, 33-56. • S. Voigt, T. Kemper, T. Riedlinger, R. Kiefl, K. Scholte and H. Mehl (2007): Satellite image analysis for disaster and crisis management support. IEEE Transactions on Geosciences and Remote Sensing, 45(6):1520-1529 • F. Pisano, and E. Bjorgo, Space Security and Satellite Applications in Humanitarian Aid. UNIDIR Conference Report, Security in Space – The Next Generation, 2008 132 Namibia POST-DISASTER NEEDS ASSESSMENT
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POST-DISASTER NEEDS ASSESSMENT FLOO
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Foreword In March of 2009, torrenti
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Table of Contents Foreword ii Ackno
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Table 51 Indication of losses incur
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List of Abbreviations AIDS Acquired
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Executive Summary In March 2009, fl
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The recommendations for recovery an
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Strengthened Community Awareness Co
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1.1 The 2009 Floods Omusati Oshana
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In addition, the President called u
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prolonged dry spells and droughts),
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2.1 Methodology In the aftermath of
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Figure 10: Distribution of damage (
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The average value of damage in the
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3.1 Sector Impacts: Infrastructure
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Rail and Air Transport There was no
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3.2 3.2.1 Sector Impacts: Productiv
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Needs/Timeline Table 16: Summary of
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worst, some in Oshikoto, Kavango an
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Private sector reconstruction using
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not have to provide food to learner
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Needs The needs of the environment
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4.1 Macro-economic Impact This sect
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Impact on the balance of payment Th
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4.2 Impact on Income and livelihood
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HIV/AIDS The floods caused consider
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5.1 Introduction The most likely sc
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Box: 2: Early Recovery: Guiding pri
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Housing, shelter and settlements Th
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5.4 Recommendations on when to move
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6.1 Recovery and Reconstruction Str
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Figure 36: Long-term reconstruction
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6.5 The way forward The medium and
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7.1 Situation during the Disaster T
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of 2-6oC by end of the century, a l
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could involve flags, megaphones or
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7.3 On-going interventions While th
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Annex 1 Water Supply and Sanitation
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access. It was observed that if the
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water. Similarly, access roads from
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Table 44: Roads proposed for improv
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Annex 3 Energy Pre-disaster Situati
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Table 50: Losses incurred due to 20
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Annex 4 Agriculture, Livestock and
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System (NEWFIS), reported concerns
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and affect both urban and rural vul
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In 1998, the Government launched a
Page 95 and 96: Annex 5 Industry and Commerce Pre-d
Page 97 and 98: In Namibia, small businesses can be
Page 99 and 100: Needs In light of the vulnerability
Page 101 and 102: Table 66: Total damages and lost re
Page 103 and 104: Governance Issues Namibia is one of
Page 105 and 106: constructed elevated roads increase
Page 107 and 108: epresents 31 percent. In comparison
Page 109 and 110: Table 73: Early and medium and long
Page 111 and 112: and reproductive health. This was f
Page 113 and 114: Provision of safe water was done by
Page 115 and 116: Intensive capacity-building activit
Page 117 and 118: The Table below indicates the numbe
Page 119 and 120: Table 80: Budget for 2008/2009 and
Page 121 and 122: The total damages and losses are su
Page 123 and 124: displacement and often impact girls
Page 125 and 126: Needs The education sector response
Page 127 and 128: The major long-term environmental c
Page 129 and 130: paltry in comparison to ongoing thr
Page 131 and 132: Table 90: Environment sector needs
Page 133 and 134: Annex 11 Food Security Pre-disaster
Page 135 and 136: mahangu and maize meal must be mutu
Page 137 and 138: Figure 42: Maize Meal Prices in Urb
Page 139 and 140: The total amount of food commoditie
Page 141 and 142: Food distributions • To strengthe
Page 143 and 144: Annex 12 GIS Mapping Background One
Page 145: spectrum (and roughly comparable to
Page 149 and 150: Activities Key Outputs Time Frame R
Page 151: Activities Key Outputs Time Frame R
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Namibia PDNA 2009 - GFDRR

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