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17
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Introduction
Skills and Expertise
Current institution
Education
March 2017 - February 2019
Publications
Publications (17)
Coastal fisheries communities in sub-Saharan Africa are under high socioeconomic vulnerability in the face of environmental pressures. This article contributes to the current adaptation debate by revisiting the benefits of in-situ adaptation. We assess possible in-situ adaptation strategies amid ongoing vulnerabilities by comparing Ghana and Tanzan...
Satellite imagery has long been an attractive data source providing a wealth of information regarding human-inhabited areas. While high-resolution satellite images are rapidly becoming available, limited studies have focused on how to extract meaningful information regarding human habitation patterns and economic scales from such data. We present R...
Adaptation and coping have been frequently compared. However, their relationship is still in dispute. So far, three approaches have been suggested: interchangeable, distinct and interrelated. We argue that the third is the most useful as it provides insights into how long-term adaptation can be achieved by a series of short-term coping mechanisms....
Urban green space is thought to contribute to citizen happiness by promoting physical and mental health. Nevertheless, how urban green space and happiness are related across many countries with different socioeconomic conditions has not been explored. By measuring the urban green space score (UGS) from high-resolution satellite imagery of 90 global...
Mongolia is among the countries undergoing rapid urbanization, and its temporary nomadic dwellings-known as Ger-have expanded into urban areas. Ger settlements in cities are increasingly recognized as slums by their socio-economic deprivation. The distinctive circular, tent-like shape of gers enables their detection through very-high-resolution sat...
Machine learning approaches using satellite imagery are providing accessible ways to infer socioeconomic measures without visiting a region. However, many algorithms require integration of ground-truth data, while regional data are scarce or even absent in many countries. Here we present our human-machine collaborative model which predicts grid-lev...
High-resolution daytime satellite imagery has become a promising source to study economic activities. These images display detailed terrain over large areas and allow zooming into smaller neighborhoods. Existing methods, however, have utilized images only in a single-level geographical unit. This research presents a deep learning model to predict e...
High-resolution daytime satellite imagery has become a promising source to study economic activities. These images display detailed terrain over large areas and allow zooming into smaller neighborhoods. Existing methods, however, have utilized images only in a single-level geographical unit. This research presents a deep learning model to predict e...
As coastal communities across the Global South confront the multiple challenges of climate change, overfishing, poverty and other socio-environmental pressures, there is an increasing need to understand diverse coastal governance responses and livelihood trajectories from a comparative perspective. This paper presents a holistic investigation of th...
Urban green space has been regarded as contributing to citizen happiness by promoting physical and mental health. However, how urban green space and happiness are related across many countries of different socioeconomic conditions has not been explained well. By measuring urban green space score (UGS) from high-resolution Sentinel-2 satellite image...
Satellite imagery has long been an attractive data source that provides a wealth of information on human-inhabited areas. While super resolution satellite images are rapidly becoming available, little study has focused on how to extract meaningful information about human habitation patterns and economic scales from such data. We present READ, a new...
