Data Integration for Climate Vulnerability Mapping in West Africa

ISPRS International Journal of Geo-Information

Alex de Sherbinin¹  Tricia Chai-Onn¹  Malanding Jaiteh¹  Valentina Mara¹  Linda Pistolesi¹  Emilie Schnarr¹  Sylwia Trzaska¹  Christoph Aubrecht² 

[1] Center for International Earth Science Information Network, The Earth Institute at Columbia University, P.O. Box 1000, Palisades, NY 10964, USA;

关键词: climate change;    exposure;    vulnerability;    risk modeling for decision support;   

DOI  :  10.3390/ijgi4042561

来源: mdpi

【 摘 要 】

Vulnerability mapping reveals areas that are likely to be at greater risk of climate-related disasters in the future. Through integration of climate, biophysical, and socioeconomic data in an overall vulnerability framework, so-called “hotspots” of vulnerability can be identified. These maps can be used as an aid to targeting adaptation and disaster risk management interventions. This paper reviews vulnerability mapping efforts in West Africa conducted under the USAID-funded African and Latin American Resilience to Climate Change (ARCC) project. The focus is on the integration of remotely sensed and socioeconomic data. Data inputs included a range of sensor data (e.g., MODIS NDVI, Landsat, SRTM elevation, DMSP-OLS night-time lights) as well as high-resolution poverty, conflict, and infrastructure data. Two basic methods were used, one in which each layer was transformed into standardized indicators in an additive approach, and another in which remote sensing data were used to contextualize the results of composite indicators. We assess the benefits and challenges of data integration, and the lessons learned from these mapping exercises.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.