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Haiti Case Study - The Department of Global Health and Social ...

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programme were not functional. As a result, it was nearly impossible for logisticians to<br />

estimate dem<strong>and</strong> for supplies from the overburdened facilities. 97<br />

16. In the first three weeks <strong>of</strong> the response supplies were shuttled the several kilometres to<br />

PROMESS, sorted, inventoried, stored <strong>and</strong> entered into SUMA. 98 From PROMESS, aid<br />

would then need to be loaded onto trucks <strong>and</strong> distributed to health facilities throughout <strong>Haiti</strong>,<br />

a process hindered by the tons <strong>of</strong> rubble blocking most <strong>of</strong> the major exits from the city.<br />

Furthermore, like the airport, the warehouse inventory was also largely unmarked <strong>and</strong> lacked<br />

inventory sheets or manifests to detail what was inside, adding to the chaos <strong>of</strong> aid<br />

distribution. 99<br />

17. Recognizing the disarray, PAHO enlisted the aid <strong>of</strong> the US military to put the<br />

warehouse into better order at the end <strong>of</strong> January. Five US Army Logistics teams were<br />

dispatched to sort <strong>and</strong> inventory supplies. 100 <strong>The</strong>se teams worked with USAID <strong>and</strong> its<br />

contractor, Management Sciences for <strong>Health</strong>, to put the inventory into a supply chain<br />

management system, for easier tracking <strong>of</strong> the inventory. <strong>The</strong>y also explored methods <strong>of</strong><br />

packaging into st<strong>and</strong>ardized kits that could be sent to health facilities. 101 <strong>The</strong> US military also<br />

provided 24/7 security for a month <strong>and</strong> removed rubble around the routes into warehouse,<br />

making it easier to get trucks in <strong>and</strong> out <strong>of</strong> the facility. <strong>The</strong> manpower resources available to<br />

JTF <strong>Haiti</strong> made it possible to surge the capacity that proved essential to getting aid flowing<br />

through the PROMESS supply chain. 102<br />

Mapping <strong>and</strong> clearing blocked supply routes<br />

18. A third immediate challenge was to assess the status <strong>of</strong> transport infrastructure so<br />

damaged sections could be restored as quickly as possible. For those trying to solve this<br />

problem, there was one key issue: a lack <strong>of</strong> baseline maps. In most crises, global<br />

responders are able to find such maps through the affected nation’s geographical <strong>and</strong><br />

demographic departments. In <strong>Haiti</strong>, the earthquake had destroyed administrative buildings,<br />

killing <strong>Haiti</strong>’s civil servants <strong>and</strong> burying the country’s baseline maps. 103<br />

19. US Intelligence, Surveillance, <strong>and</strong> Reconnaissance (ISR) assets—including satellites,<br />

unmanned aerial vehicles (UAV), <strong>and</strong> reconnaissance aircraft—collected the first imagery <strong>of</strong><br />

the disaster. A <strong>Global</strong> Hawk UAV snapped the first pictures <strong>of</strong> critical infrastructure within<br />

two days <strong>of</strong> the earthquake. <strong>The</strong> <strong>Haiti</strong> earthquake response marked the first time that a UAV<br />

had supported a humanitarian operation. <strong>The</strong> US also flew P-3 Orion aircraft to gather visual<br />

information <strong>and</strong> released both the still photos <strong>and</strong> videos from the sorties to the humanitarian<br />

community. 104 All imagery was collated <strong>and</strong> made available via the San Diego State<br />

University Visualization Center’s <strong>Haiti</strong> web site. <strong>The</strong> process however took at minimum<br />

several days—too much time to be <strong>of</strong> most use to search <strong>and</strong> rescue <strong>and</strong> initial response<br />

efforts. 105<br />

20. Several sources were most agile at making critical <strong>and</strong> potentially sensitive data<br />

available. <strong>The</strong> US National Geospatial-Intelligence Agency (NGA) released imagery under<br />

the International Space Charter, a consortium <strong>of</strong> space agencies <strong>and</strong> UN agencies that<br />

agree to release imagery to other signatories or host nations who are sponsored by a<br />

signatory. NGA also prepared a st<strong>and</strong>ard atlas <strong>of</strong> <strong>Haiti</strong> that was sent to <strong>Haiti</strong> <strong>and</strong> made<br />

available to the urban search <strong>and</strong> rescue teams. 106 Several commercial providers—including<br />

Digital Globe <strong>and</strong> GeoEye—also were quick <strong>and</strong> generous with information, releasing sub 1metre<br />

imagery to the general public by 14 January 2010. 107 <strong>The</strong> World Bank released under<br />

public domain 15cm imagery collected by aircraft for most <strong>of</strong> the country in early February.<br />

One could claim that <strong>Haiti</strong> was the best-imaged disaster <strong>of</strong> all time.<br />

21. However good the imagery <strong>of</strong> <strong>Haiti</strong> was, it proved far more difficult to turn those<br />

imagery sources into usable maps that could track the status <strong>of</strong> roads, show the locations <strong>of</strong><br />

health facilities, <strong>and</strong> become the base maps for common operational pictures. Adding<br />

important data to digital maps is time intensive <strong>and</strong> requires trained cartographers to trace<br />

A-4

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