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Rapid global changes (population growth, urbanization and frequent extreme weather conditions) have cumulatively affected local water bodies and resulted in unfavorable hydrological, ecological, and environmental changes in the major river systems. Particularly, communities in isolated riverine islands are heavily affected due to their poor...

The phenomenon of regional and global integration has resulted in natural hazards and climate change impacts in one country affecting people and countries far away. This phenomenon of globalization of local risks has long been known but has not received much attention. With greater regional integration and greater impacts of climate change, these...

The coronavirus disease 2019 (COVID-19) has emerged as one of the severe and important health disasters during recent times. The impacts of the COVID-19 have spanned across the globe and rightly qualify to be a transboundary disaster. When looked through the lens of transboundary risks, COVID-19 is not the first of its kind. Health and non-health...

The novel coronavirus pandemic (COVID-19) has brought countries around the world to a standstill in the early part of 2020. Several nations and territories around the world insisted their population stay indoors for practicing social distance in order to avoid infecting the disease. Consequently, industrial activities, businesses, and all modes of...

The paper narrates a pilot study to understand disaster preparedness among foreign residents living in Japan, using typhoon Hagibis as a reference. We empirically evaluated an individual disaster preparedness framework following the 72-h golden rule of disaster survival. The framework consisted of 14 variables, and responses were collected over a...

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...

Image segmentation and geographic object-based image analysis (GEOBIA) were proposed around the turn of the century as a means to analyze high-spatial-resolution remote sensing images. Since then, object-based approaches have been used to analyze a wide range of images for numerous applications. In this Editorial, we present some highlights of...

Land use/land cover (LULC) maps are now being used across disciplines for many different types of applications, e.g., to analyze urban heat islands or rainfall-runoff dynamics. Traditional map accuracy metrics are limited in this regard, as they only assess LULC map thematic accuracy. In reality, some types of misclassification lead to larger...

Due to the cumulative effects of rapid urbanization, population growth and climate change, many inland and coastal water bodies around the world are experiencing severe water pollution. To help make land-use and climate change adaptation policies more effective at a local scale, this study used a combination of participatory approaches and computer...

Spatial urban growth and its impact on land surface temperature (LST) is a high priority environmental issue for urban policy. Although the impact of horizontal spatial growth of cities on LST is well studied, the impact of the vertical spatial distribution of buildings on LST is under-investigated. This is particularly true for cities in sub...