Evaluating Resilience-Centered Development Interventions with Remote Sensing

Natural disasters are projected to increase in number and severity, in part due to climate change. At the same time a growing number of disaster risk reduction (DRR) and climate change adaptation measures are being implemented by governmental and non-governmental organizations, and substantial post-...

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Veröffentlicht in:Remote sensing (Basel, Switzerland) Switzerland), 2019-11, Vol.11 (21), p.2511
Hauptverfasser: Kerle, Norman, Ghaffarian, Saman, Nawrotzki, Raphael, Leppert, Gerald, Lech, Malte
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Sprache:eng
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Zusammenfassung:Natural disasters are projected to increase in number and severity, in part due to climate change. At the same time a growing number of disaster risk reduction (DRR) and climate change adaptation measures are being implemented by governmental and non-governmental organizations, and substantial post-disaster donations are frequently pledged. At the same time there has been increasing demand for transparency and accountability, and thus evidence of those measures having a positive effect. We hypothesized that resilience-enhancing interventions should result in less damage during a hazard event, or at least quicker recovery. In this study we assessed recovery over a 3 year period of seven municipalities in the central Philippines devastated by Typhoon Haiyan in 2013. We used very high resolution optical images (
ISSN:2072-4292
2072-4292
DOI:10.3390/rs11212511