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Hy Dao

Researcher at University of Geneva

Publications -  33
Citations -  2006

Hy Dao is an academic researcher from University of Geneva. The author has contributed to research in topics: Vulnerability & Population. The author has an hindex of 17, co-authored 33 publications receiving 1572 citations. Previous affiliations of Hy Dao include United Nations Environment Programme.

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Global trends in tropical cyclone risk

TL;DR: This article showed that, despite projected reductions in tropical cyclone frequency, projected increases in demographic pressure and tropical cyclones intensity can be expected to exacerbate disaster risk, even with reported losses.
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Assessing global exposure and vulnerability towards natural hazards: the Disaster Risk Index

TL;DR: In this paper, a model of factors influencing levels of human losses from natural hazards at the global scale, for the period 1980-2000, was presented for the United Nations Development Programme as a building stone of the disaster risk index (DRI), which aims at monitoring the evolution of risk.
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Building an Earth Observations Data Cube: lessons learned from the Swiss Data Cube (SDC) on generating Analysis Ready Data (ARD)

TL;DR: This paper presents an approach to enable rapid data access and pre-processing to generate ARD using interoperable services chains and has been tested and validated generating Landsat ARD while building the Swiss Data Cube.
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Forest cover changes in Côte d’Ivoire and Upper Guinea

TL;DR: In this article, the changes in forest cover in Cote d'Ivoire from 1990 to 2000 based on satellite images were investigated at four scales of resolution, namely, the total forest area in West Africa, in particular the total protected area, was analyzed, and forest fragmentation in detail for 8 blocks of 20×20 km in Abidjan.
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Tsunami hazard and exposure on the global scale

TL;DR: In this paper, the authors present a global tsunami hazard and population exposure study based on plane wave linear hydrostatic transect simulations, and validation against results from a standard run-up model is given.