The influence of climate change and perceptions of it on people’s migration decisions has received significant prominence, especially for people living on low-lying islands. To contribute to this literature, this paper uses Maldives as a case study for exploring the research question: How does climate change influence or not influence people’s migration decisions in Maldives? Previous work tends to start from a disciplinary climate change perspective, while this study combines migration, mobility, and island studies perspectives, within which climate change sits. As well, rather than focusing on the area around the capital, Malé, as with many previous studies, the 113 interviews here were conducted in eight islands across three atolls. The method was qualitative, semi-structured, face-to-face interviews using purposive sampling of ordinary people. Contrary to a view of islanders preparing to flee their islands as “climate change refugees”, the interviewees provided nuanced and varied responses. They rarely identified the potential of future impacts due to climate change as influencing their migration-related decisions. When migration was considered, it was chiefly internal movement seeking a better standard of living via improved services, better living conditions, and more job opportunities. If migration related to potential climate change impacts might happen, then it was assumed to be in the future for decisions then. This lack of influence of climate change-related perceptions on Maldivians’ migration decisions fits well within island mobilities studies, from which climate change perspectives could adopt wider contexts.

People have long migrated for many reasons, often with a combination of forced and voluntary reasons combining to push them away from current situations and to pull them towards new situations. Bangladesh is one example where environmental changes have long been amongst the multitude of reasons for migrating, with contemporary climate change suggested as a major impetus towards more migration. This paper examines local expert perceptions of migration as a climate change adaptation strategy for Bangladeshis. Seventeen in-depth interviews were conducted with local experts in Bangladesh and Assam (India) on environmental change and migration to understand the perspectives of those with formal education and expert-related jobs who come from the areas being directly affected by Bangladeshi migration. Findings show that local experts consider that migration is used and will be used for climate change adaptation in Bangladesh, but migration is not solely for climate change adaptation, instead interweaving with all other factors influencing migration-related decisions.

Small Island Developing States (SIDS) are now experiencing the local consequences of a changing climate, environment, and society. Nonetheless, climate change research frequently remains at regional or national levels. Without locally grounded data, islanders’ perceived impacts of the changes might not be considered, thereby causing difficulties when policy and practice responses are implemented without accounting for local understandings. To contribute to addressing this gap, this study examines perceptions of climate change and associated environmental and social changes in two SIDS case studies: St. Kitts in the Caribbean Sea and Malé Atoll, Maldives in the Indian Ocean. Through these two case studies, we assess perceptions of changing social and natural environments through a closed-question, face-to-face survey. Our results suggest that in both island case studies, communities perceive environmental changes to be happening that demand negotiation with the social changes of daily life. Results also suggest that perceived climate change impacts are only part of the equation, as social and economic impacts reveal two case studies of changing island societies. While the geographic context in each case study differs, this study reveals the perceived impacts of climate change and social changes at a local level, providing valuable insights and angles for formulating policies and actions to deal with the myriad of social and environmental changes affecting SIDS.

The primary objective of this paper is to analyse households’ adaptation measures to the impacts of repeated extreme weather events, specifically floods, which belong amongst the most serious manifestation of ongoing climate change in Europe. The case study focuses on a rural area in the north-east part of the Czech Republic, in the catchment basin of the Bečva River. A total of 605 households were addressed within the framework of the questionnaire survey. On the basis of the conducted research, we determined that the total amount of adaptation measures adopted by those dwelling in residential homes within the investigated catchment area was relatively low. In contrast, however, one of the most important adaptation measures—house elevation—was applied by 46.94% of the houses (up to 1 m) and by 21.16% houses (elevated more than 1 m) respectively. We also found that the amount and scope of adaptation measures realized by households were influenced by certain socio-demographic factors of the inhabitants. The most statistically significant factors included households with more residents or families with more children living in the household, as well as those with a higher level of education. Flood experience, the level of damage, and individual flood risk perception also played an important role.

High population as well as the economical tension emphasises the necessity of effective city management – from land use planning to urban green maintenance. The management effectiveness is based on precise knowledge of the city environment. Point clouds generated by mobile and terrestrial laser scanners provide precise data about objects in the scanner vicinity. From these data pieces the state of the roads, buildings, trees and other objects important for this decision-making process can be obtained. Generally, they can support the idea of “smart” or at least “smarter” cities. Unfortunately the point clouds do not provide this type of information automatically. It has to be extracted. This extraction is done by expert personnel or by object recognition software. As the point clouds can represent large areas (streets or even cities), usage of expert personnel to identify the required objects can be very time-consuming, therefore cost ineffective. Object recognition software allows us to detect and identify required objects semi-automatically or automatically. The first part of the article reviews and analyses the state of current art point cloud object recognition techniques. The following part presents common formats used for point cloud storage and frequently used software tools for point cloud processing. Further, a method for extraction of geospatial information about detected objects is proposed. Therefore, the method can be used not only to recognize the existence and shape of certain objects, but also to retrieve their geospatial properties. These objects can be later directly used in various GIS systems for further analyses.