Many developing countries in Asia are experiencing rapid urban expansion in climate hazard prone areas. To support climate resilient urban planning efforts, here we present an approach for simulating future urban land-use changes and evaluating potential flood exposure at a high spatial resolution (30 m) and national scale. As a case study, we...
The novel coronavirus (SARS-CoV-2) is the third coronavirus this century to threaten human health, killing more than two million people globally. Like previous coronaviruses, SARS-CoV-2 is suspected to have wildlife origins and was possibly transmitted to humans via wet markets selling bushmeat (aka harvested wild meat). Thus, an interdisciplinary...
“Just Transition” is an important, brand new concept to implement policies towards decarbonisation of the power sector in Japan. However, a knowledge gap still remains between this concept and policy discussion at a practical level. Therefore, using the existing scenarios of decarbonisation of the power sector and employment factors for the power...
Debris cover on glacier surfaces hampers the accurate detection of debris-covered ice using traditional techniques based on image band ratios. Therefore, this study tests a new automatic classification scheme for hierarchical mapping of glacier surfaces based on machine learning classifiers including k-nearest neighbors (KNN), support vector...
The spread of online taxi services is transforming mobility patterns in many of the world’s rapidly motorizing cities. Yet few studies have systematically assessed which factors are behind this transformation. This article fill this critical knowledge gap for the three fast-growing cities of Indonesia, namely, Semarang, Bogor and Bandung. The...
In the course of implementing the Paris Agreement and the 2030 Sustainable Development Goals, policymakers, practitioners and academics have increasingly acknowledged the urgency of addressing the food waste (FW) issue in urban areas of developing economies. This paper selected Bangkok as a case study to evaluate options for preventing and reducing...
Owing to the huge number of species observations that can be collected by non-professional scientists, “citizen science” has great potential to contribute to scientific knowledge on invasive alien species (IAS). Citizen science has existed for centuries, but the recent adoption of information and communications technology (ICT) in this field (e.g...
Green fractional vegetation cover (fc) is an important phenotypic factor in the fields of agriculture, forestry, and ecology. Spatially explicit monitoring of fc via relative vegetation abundance (RA) algorithms, especially those based on scaled maximum/minimum vegetation index (VI) values, has been widely investigated in remote sensing research...
Deep learning (DL) algorithms have seen a massive rise in popularity for remote-sensing image analysis over the past few years. In this study, the major DL concepts pertinent to remote-sensing are introduced, and more than 200 publications in this field, most of which were published during the last two years, are reviewed and analyzed. Initially, a...
This study investigates the stringency of Japan's greenhouse gas emissions reduction target for 2030 (nationally determined contribution: NDC), focusing on the macroeconomic assumptions of Kaya indicators and others previously overlooked, e.g. GDP per working-age population. It also conducted a decomposition analysis in light of historic political...