Estimating the number of refugees and internally displaced persons is important for planning and managing an efficient relief operation following disasters and conflicts. Accurate estimates of refugee numbers can be inferred from the number of tents. Extracting tents from high-resolution satellite imagery has recently been suggested. However, it is still a significant challenge to extract tents automatically and reliably from remote sensing imagery. This paper describes a novel automated method, which is based on mathematical morphology, to generate a camp map to estimate the refugee numbers by counting tents on the camp map. The method is especially useful in detecting objects with a clear shape, size, and significant spectral contrast with their surroundings. Results for two study sites with different satellite sensors and different spatial resolutions demonstrate that the method achieves good performance in detecting tents. The overall accuracy can be up to 81% in this study. Further improvements should be possible if over-identified isolated single pixel objects can be filtered. The performance of the method is impacted by spectral characteristics of satellite sensors and image scenes, such as the extent of area of interest and the spatial arrangement of tents. It is expected that the image scene would have a much higher influence on the performance of the method than the sensor characteristics. 相似文献
ABSTRACTAs increasing evidence shows that the risks of climate change are mounting, there is a call for further climate action (both reducing global emissions, and adaptation to better manage the risks of climate change). To promote and enable adaptation, governments have introduced, or are considering introducing, reporting on climate risks and efforts being taken to address those risks. This paper reports on an analysis of the first two rounds of such reports submitted under the UK Climate Change Act (2008) Adaptation Reporting Power. It highlights benefits and challenges for reporting authorities and policymakers receiving the reports that could also inform other countries considering such reporting. For reporting authorities, benefits arise from the reporting process and resulting reports. These benefits include elevating climate risks and adaptation to the corporate level and with stakeholders, alongside facilitating alignment and integration of actions within existing risk management and governance structures. For policymakers, reporting provides enhanced understanding of climate risks and actions from a bottom-up perspective that can be integrated into national-level assessments and adaptation planning processes. The identified challenges are those related to capacity and process. These include limited risk and adaptation assessment capacities; relevance of climate change risks and adaptation in the context of other urgent risks and actions; reporting process effectiveness and robustness; and the provision of effective and sufficiently comprehensive support, including feedback.Key policy insights
Effective adaptation reporting needs to be designed and delivered so as to enhance the value of the reporting process and resulting reports both for those reporting and those receiving the reports, as well as from the broader policy perspective.
Providing a positive and supportive reporting environment is critical to encourage participation and facilitating contiuous learning and improvement, while also facilitating delivery of policy-relevant adaptation reports.
Contributions of adaptation reporting can be enhanced by an inclusive reporting requirement involving a broader organizational mix that enables more effective risk management and reporting that reflects associated (inter)dependencies and consistency with the more comprehensive post-2015 resilience agenda (Paris Agreement, Sendai Framework for DRR and UN Agenda 2030 SDGs).
The ability to plan for a disaster is associated with a range of contextual factors and often traverses several sites of inequities, including sociodemographic and institutional disparities. While multiple studies have investigated the relationship of housing insecurity with adverse outcomes after a disaster, fewer studies have examined how housing insecurity is associated with disaster preparedness. This paper hypothesizes social and structural vulnerabilities to be directly associated with preparedness. Housing insecurity is posited to have both direct and multiplicative effects with social vulnerability on the dependent variable. We use nationally representative data from the 2017 American Housing Survey. The final weighted study sample consisted of 29,070 housing units, with 52% male and 48% female householders. Fifty-seven percent of the population was not prepared with food, water, emergency funds, and transportation. Housing security and quality emerged as important conditions for households to be better prepared. Further, housing insecurity moderated the relationship between some social vulnerability factors and preparedness. The study helps identify where resources and research funds should be targeted to reduce multidimensional vulnerabilities before a disaster. Safe and affordable housing is central to climate and environmental justice; centering disaster readiness, response, and climate action across policy agendas is vital. 相似文献
As the severity and frequency of extreme weather events become more pronounced with climate change and the increased habitation of at-risk areas, it is important to understand people’s resilience to them. We quantify resilience by estimating how disasters in the US impacted individual wellbeing in the initial weeks and months post-disaster, and whether the effect sizes differed by individual- and county-level factors. The methodological approach contrasts changes in wellbeing in counties affected by disasters with that of residents in unaffected counties of the same state. We find that people’s hedonic wellbeing is reduced by approximately 6% of a standard deviation in the first two weeks following the event, with the effect diminishing rapidly thereafter. The negative effects are driven by White, older, and economically advantaged sub-populations, who exhibit less resilience. We find no evidence that existing indices of community resilience moderate impacts. Our conclusion is that most people in the US have a resilient response to extreme weather events. 相似文献