A new 30-m spatial resolution global shoreline vector (GSV) was developed from annual composites of 2014 Landsat satellite imagery. The semi-automated classification of the imagery was accomplished by manual selection of training points representing water and non-water classes along the entire global coastline. Polygon topology was applied to the GSV, resulting in a new characterisation of the number and size of global islands. Three size classes of islands were mapped: continental mainlands (5), islands greater than 1 km² (21,818), and islands smaller than 1 km² (318,868). The GSV represents the shore zone land and water interface boundary, and is a spatially explicit ecological domain separator between terrestrial and marine environments. The development and characteristics of the GSV are presented herein. An approach is also proposed for delineating standardised, high spatial resolution global ecological coastal units (ECUs). For this coastal ecosystem mapping effort, the GSV will be used to separate the nearshore coastal waters from the onshore coastal lands. The work to produce the GSV and the ECUs is commissioned by the Group on Earth Observations (GEO), and is associated with several GEO initiatives including GEO Ecosystems, GEO Marine Biodiversity Observation Network (MBON) and GEO Blue Planet.

Coastal community water infrastructure is increasingly vulnerable to climate-sensitive coastal hazards. Tides, storm surges, rainfall, and salt intrusion affect infrastructure and human health. In case studies of Charleston, South Carolina, and Morehead City, North Carolina, USA, this project sought to advance risk assessment of urban water and wastewater infrastructure and identify linkages to human health impacts as risk evolves with sea level rise. The methodology integrates community infrastructure, health care, emergency resources, geospatial simulation, and a tabletop exercise with planners, emergency managers, public utilities, and health care providers. Resilience is assessed by community participants using interactive online maps, susceptibility indices, and a resilience matrix. Results highlight differential vulnerability, population susceptibility, and elevation uncertainty. We observe similar trends of increasing magnitude, frequency, and impact of flood events on water infrastructure and public health as sea level rises. Implications for tackling challenges across sectors are highlighted for improving coastal resilience.

This study evaluates the spatial-temporal patterns in Virginia tornadoes using the National Weather Service Storm Prediction Center’s Severe Weather GIS (SVRGIS) database. In addition to descriptive statistics, the analysis employs Kernel Density Estimation for spatial pattern analysis and space-time cubes to visualize the spatiotemporal frequency of tornadoes and potential trends. Most of the 726 tornadoes between 1960–2019 occurred in Eastern Virginia, along the Piedmont and Coastal Plain. Consistent with other literature, both the number of tornadoes and the tornado days have increased in Virginia. While 80% of the tornadoes occurred during the warm season, tornadoes did occur during each month including two deadly tornadoes in January and February. Over the 60-year period, a total of 28 people were killed in the Commonwealth. Most tornado activity took place in the afternoon and early evening hours drawing attention to the temporal variability of risk and vulnerability. Spatial analysis results identify significant, non-random clusters of tornado activity and increasing temporal frequency. While this study improves weather-related literacy and addresses a need in the Commonwealth, more research is necessary to further evaluate the synoptic and mesoscale mechanisms of Virginia tornadoes.

Low elevation coastal zones (LECZ) are extensive throughout the southeastern United States. LECZ communities are threatened by inundation from sea level rise, storm surge, wetland degradation, land subsidence, and hydrological flooding. Communication among scientists, stakeholders, policy makers and minority and poor residents must improve. We must predict processes spanning the ecological, physical, social, and health sciences. Communities need to address linkages of (1) human and socioeconomic vulnerabilities; (2) public health and safety; (3) economic concerns; (4) land loss; (5) wetland threats; and (6) coastal inundation. Essential capabilities must include a network to assemble and distribute data and model code to assess risk and its causes, support adaptive management, and improve the resiliency of communities. Better communication of information and understanding among residents and officials is essential. Here we review recent background literature on these matters and offer recommendations for integrating natural and social sciences. We advocate for a cyber-network of scientists, modelers, engineers, educators, and stakeholders from academia, federal state and local agencies, non-governmental organizations, residents, and the private sector. Our vision is to enhance future resilience of LECZ communities by offering approaches to mitigate hazards to human health, safety and welfare and reduce impacts to coastal residents and industries.

Vector-borne diseases pose a continuing health risk to the global population. In the United States, the spread of West Niles virus (WNV) in the past several years across the country has been alarming. Using WNV as an example, this paper demonstrates how geographic information science (GIScience) and attendant technologies in remote sensing, geographic information systems (GIS), and spatial statistics, can be used for the surveillance and control of disease vectors in general, and specifically mosquitoes in the case of WNV. Data supporting the analyses consist of local field surveillance data, population demographic data, and remote sensing data for habitat characterisation and environmental conditions affecting mosquito vector breeding. The results of this paper provide evidence that these technologies, integrated in scientific methods, provide valuable information to formulate risk management policies and actions.

Coastal reservations are increasingly vulnerable to hazards exacerbated by climate change. Resources for restoration projects are limited. Storm surge, storms, tidal flooding, and erosion endanger artifacts and limit livelihoods of tribes in coastal Virginia. GIS offers a platform to increase communication between scientists, planners, and indigenous groups. The Pamunkey Indian Tribe engaged in a participatory mapping exercise to assess the role of traditional ecological knowledge (TEK) in coastal management decision-making and its capacity to address flooding. Priorities and strategies were spatially referenced using maps of potential sea level rise for 2040, 2060, and 2080, input into a resilience matrix to identify benchmarks for each phase of disaster resilience building, and contextualized with oral histories. Results highlight increased immediacy to protect housing and heritage sites along the shoreline as well as maintain access to the Reservation. Preferences toward structural solutions guided by and facilitating TEK options were expressed. Additional community capacities, tribal council support, federal assistance, impact assessments, and coordination would facilitate risk reduction project implementation. The screening process integrates TEK with planning and is transferable to neighboring tribes.