GIS & Mapping

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This paper aims to generate and validate earth observation-based information products for monitoring selected indicators of the Sendai Framework for Disaster Risk Reduction in the context of flooding in Ecuador.
Crowdsourced vehicle data trace the contours of dangerous city temperatures
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This study proposes an integrated geographic information systems (GIS)-based framework to combine different health system indicators with socio-economic conditions of communities to assess the vulnerability to COVID-19 like health emergency situations.
As climate change drives more intense storms and floods, some coastal districts are no longer relying solely on risk maps from U.S. disaster agency FEMA and are drawing up their own.
Miguel Angel Trejo-Rangel Victor Marchezini Daniel Messias dos Santos Marina Gabos Medeiros José Carlos Luzia Rodrigues
Between 2000 and 2018, Brazil was hit by 65 flood-related disasters, representing close to 71% of disasters recorded. They were also the deadliest – causing 2,435 fatalities out of a total of 2,767.
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This paper addresses the visual communication issues with a focus on natural hazards which vary in time and space or purely in space. This study is a follow up of a previous study on the efficacy of communication of avalanche warnings.
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This contributing paper presents a mapping tool that connects the seven World Meteorological Organization (WMO) state of the climate indicators to climate change impacts and the United Nations Sustainable Development Goals (SDGs)
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Creating, sustaining, and increasing adoption of impact databases with sufficient quality faces significant challenges. Digital media mining may be useful to complement existing databases.
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SERVIR-Mekong seeks qualified individuals or firms to help us develop those web-based and mobile applications for air quality monitoring and landslide monitoring.