Abstract
World Heritage sites provide a key mechanism for protecting areas of universal importance. However, fifty-four UNESCO sites are currently listed as “In Danger”, with 40% of these located in the Middle East. Since 2010 alone, thirty new sites were identified as under risk globally. We combined big-data and remote sensing to examine whether they can effectively be used to identify danger to World Heritage in near real-time. We found that armed-conflicts substantially threaten both natural- and cultural-heritage listed sites. Other major risks include poor management and development (globally), poaching (Africa mostly) and deforestation (tropics), yet conflict is the most prominent threat. We show that news-mining of big-data on conflicts and remote sensing of nights-lights enabled us to identify conflict afflicted areas in near real-time. These findings provide a crucial avenue for developing a global transparent early-warning system before irreversible damage to world heritage takes place.
| Original language | English |
|---|---|
| Pages (from-to) | 97-104 |
| Number of pages | 8 |
| Journal | Global Environmental Change |
| Volume | 55 |
| DOIs | |
| State | Published - Mar 2019 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
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SDG 15 Life on Land
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SDG 16 Peace, Justice and Strong Institutions
Keywords
- Arab countries
- Armed conflicts
- Big data
- Flickr
- GDELT
- Middle East
- Night lights
- Remote sensing
- World Heritage Sites
All Science Journal Classification (ASJC) codes
- Global and Planetary Change
- Geography, Planning and Development
- Ecology
- Management, Monitoring, Policy and Law
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