Health and the Environment

A new mapping tool shows the density of population in relationship to reported coronavirus disease (COVID-19) cases at national and sub-national levels, and permits users to obtain custom estimates of the number of people by age and sex living in an area of interest, including areas not currently reporting large numbers of cases.

Developed by the NASA Socioeconomic Data and Applications Center (SEDAC), the SEDAC Global COVID-19 Viewer: Population Estimates by Age Group and Sex lets users quickly access relevant population information without having to download and analyze large amounts of spatial population data. The Viewer’s unique capability is that it allows users to obtain population estimates for specific age and sex categories for any area, such as a metropolitan region that cuts across multiple jurisdictions or countries. The Viewer displays age and sex structure charts and pyramids in response to a user-drawn circle or polygon. Data on COVID-19 cases from the Johns Hopkins University are updated multiple times per day.

The SEDAC Global COVID-19 Viewer is meant for researchers, educators, and policymakers who are interested in visualizing key population characteristics such as high concentrations of elderly individuals in urban or rural areas that are, or may become, affected by the COVID-19 pandemic. The Viewer may be especially helpful for regional analyses or for countries with limited access to spatial population data. The underlying population data are from SEDAC’s Gridded Population of the World (GPW) Basic Demographic Characteristics, v4.11, for the year 2010, with estimates to 2020. The COVID-19 data are from Johns Hopkins University & Medicine Coronavirus Resource Center. SEDAC is one of the NASA Distributed Active Archive Centers (DAACs) and is operated by the Center for International Earth Science Information Network (CIESIN) of the Earth Institute at Columbia University.

The POPGRID Data Collaborative, an initiative launched by CIESIN in 2017 to improve the quality, access, and use of global-scale spatial data on human population, settlements, and infrastructure, has recently updated its Web site and announced an international Webinar to be held February 4 in collaboration with Geospatial World.

The POPGRID Web site helps users learn about the many different gridded population data sets now available, providing detailed background information and documentation, and direct links to the data and data sources. In addition, the POPGRID Viewer lets users easily compare different data products for their specific regions of interest. The updated site now includes links to recent publications and recorded Webinars about gridded population data, together with updated information from the data providers. POPGRID is collaboratively managed by CIESIN, the Thematic Research Network on Data and Statistics (TReNDS) of the United Nations Sustainable Development Solutions Network, and the Global Partnership for Sustainable Development Data, and is supported by the Bill & Melinda Gates Foundation and NASA. More than 20 different groups from both the public and private sectors are active in the POPGRID Data Collaborative. The POPGRID Viewer was developed by the NASA Socioeconomic Data and Applications Center (SEDAC) operated by CIESIN.

On February 4, CIESIN director Robert Chen and Maryam Rabiee of TReNDS presented the Webinar, “Leaving No One Off the Map: Gridded Population Data for Decision Making,″ in coordination with Geospatial World. It attracted 150 participants from around the world. The Webinar focused on how gridded population data can help decision makers and other applied users improve efforts to achieve the Sustainable Development Goals (SDGs) adopted by the international community in 2015, and in particular to help reach those who might otherwise be left behind. Recent advances in mapping make it possible to better determine the location and characteristics of human settlements and households, allowing for more effective and efficient assistance, e.g., for vaccination campaigns, development assistance, and humanitarian relief. However, the proliferation of different data sets utilizing different methods and sources may confuse users about which data sets are the most appropriate to use in different situations. The Webinar discussed ongoing efforts by the POPGRID Data Collaborative to address this issue, and ways in which the geospatial community can both benefit from, and participate in, POPGRID activities. A recording is available here.

The NASA Socioeconomic Data and Applications Center (SEDAC) operated by CIESIN has begun accepting submissions of scientific data related to human-environment interactions that may be of high utility to the human dimensions research and applications communities. In light of increased recognition of the importance of open access to research data by universities, scientific publishers, funding organizations, and other organizations, SEDAC seeks to increase the accessibility and utilization of important global- or regional-scale spatial data, especially those derived from or complementary to remote sensing data from NASA or other sources. SEDAC will also consider other types of data that meet its acquisition criteria. Priority topics of interest for data acquisition and dissemination include administrative boundaries and other reference layers, population dynamics, human settlements and infrastructure, land use/land cover change, economic development, environmental health, and policy-relevant environmental and sustainable development indicators.

Submission of candidate data sets is a two-step process. In the first step, SEDAC requests basic information on the data (e.g., nature of the data set and its primary purpose) that will help evaluate suitability for SEDAC archiving and dissemination. If the data appear appropriate, a copy of the data will be requested along with additional information for review by the SEDAC User Working Group (UWG). If feasible and appropriate, SEDAC will work with data authors and journal publishers to coordinate data release with publication of a peer-reviewed article. SEDAC will also consider valuable older data sets that may be at risk of loss if not properly archived, as well as national or sub-national data for key countries or regions, on a case-by-case basis.

NASA has recently released the 2017 edition of Sensing Our Planet, free in print or for download at the Earthdata Web site. The publication highlights the use of earth science data in a range of scientific research areas, from hazard prediction to public health to water resource management. One of this year′s articles, “Zika Zone,” focuses on mapping the spread of the Zika virus. Researchers Moritz Kramer from the Harvard Medical School and Janey Messina from the University of Oxford combined environmental data about the Zika virus—for example, preferred habitat, temperature and rainfall requirements, and need for stagnant water to lay eggs in and heavily populated urban environments—with population data to create maps showing environmental suitability for the transmission of the virus. Data sources included the Gridded Population of the World (GPW) data collection from the NASA Socioeconomic Data and Applications Center (SEDAC) operated by CIESIN and a vegetation index based on Moderate Resolution Imaging Spectroradiometer (MODIS) data from the Land Processes Distributed Active Archive Center (LP DAAC). Mapping the transmission in this way let the scientists estimate the number of people globally at risk—more than two billion—and anticipate areas of potential Zika outbreaks, helping to inform public health decisions. GPW data were also used together with gravity and radar data and land surface models from several other DAACs to assess groundwater resources in Mexico, as described in the article, “Closed Season.″

Sensing Our Planet highlights data from the twelve DAACs of the NASA Earth Observing Data and Information System (EOSDIS). The publication has been produced since 1994 by the Snow and Ice DAAC at the National Snow and Ice Data Center at the University of Colorado Boulder.

CIESIN staff and colleagues have capped the end of 2017 and launched 2018 with several new publications on a range of topics. Senior research associate Pinki Mondal is a lead author of a study on long-term changes in mangrove extent in Sierra Leone. The West African country lost 25% of its mangroves between 1990 and 2016, the span of the analysis. Using remote sensing data, the study focuses on four estuaries—Scarcies, Sierra Leone, Yawri Bay, and Sherbro—to provide insight into mangrove management strategies that can support local livelihoods. Sylwia Trzaska, associate research scientist, and Alex de Sherbinin, associate director for Science Applications, are co-authors. The work was funded by the U.S. Agency for International Development (USAID) and conducted in collaboration with Tetra Tech. The paper appears in the journal Sensors, as part of a special issue, “Remote Sensing of Mangrove Ecosystems,” edited by Chandra Giri, an alumnus of CIESIN now with the U.S. Environmental Protection Agency.

Alex de Sherbinin is also co-author of a new global study of heat waves appearing in Environmental Research Letters, among the first research to include humidity as a critical factor in assessing heat stress impacts. The lead authors are Ethan Coffel and Radley Horton of Columbia University and the NASA Goddard Institute for Space Studies (GISS). The study utilizes data available from the NASA Socioeconomic Data and Applications Center (SEDAC) operated by CIESIN—Global Population Projection Grids Based on SSPs, v1 (2010 – 2100)—to quantify the number of people who may be exposed to extreme heat stress in the latter half of this century under different scenarios of development (Shared Socioeconomic Pathways, or SSPs).

Senior digital archivist Robert Downs has three new publications on various data management topics. He authored the chapter, “Enabling the Reuse of Geospatial Information,” in the book, GeoValue: The Socioeconomic Value of Geospatial Information, edited by Jamie B. Kruse, Joep Crompvoets, and Francoise Pearlman and published in November 2017 by CRC Press. He is also a co-author, with Devan Ray Donaldson, Ingrid Dillo, and Sarah Ramdeen, of a peer-reviewed article in the International Journal of Digital Curation on the perceived value of acquiring “data seals of approval,” an international standard for trusted digital repositories. Finally, he has authored the conference paper, “Implementing the Group on Earth Observations Data Management Principles: Lessons from a Scientific Data Center,” in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. This was based on his presentation at the 37th International Symposium on Remote Sensing of Environment in Tshwane, South Africa in May 2017 about how the emerging set of data management principles developed by GEO applies to interdisciplinary data management at SEDAC.

The new online mapping service, the National Priority List (NPL) Superfund Footprint Mapper, was featured as part of a Webinar sponsored by the National Institute of Environmental Health Sciences (NIEHS) Partnerships for Public Environmental Health (PEPH) on May 7. Participants numbered 158 attendees, more than 30 from federal agencies. Senior research associate Meredith Golden showcased the Mapper with assistance from geographic information specialist Tricia Chai-Onn, who also helped develop the service. Golden highlighted data from several projects of the Socioeconomic Data and Applications Center operated by CIESIN. These include the U.S. Census Grids and the Global Poverty Mapping Project. The NPL Superfund Footprint Mapper can display population and environmental characteristics for areas surrounding more than 1700 NPL Superfund sites. An archived recording of the Webinar will be available soon on the SRP Web site.

Over the past few decades coastal waters throughout the world have received an increased influx of nutrients from land-based sources. The resulting change in water quality has many possible implications for coastal and marine ecosystems. In extreme cases eutrophication results, where excess nutrients in the water stimulate excessive plant growth. This can lead to hypoxia—oxygen-depleted “dead zones”—and harmful algal blooms.

Coastal water quality over time may be assessed by measuring chlorophyll concentrations as an indicator of algae biomass. A new global data set, Indicators of Coastal Water Quality, aims to identify near-coastal areas that have improving, declining, and stable chlorophyll concentrations in order to help identify areas that may need management intervention. The data set uses chlorophyll-a concentrations derived from NASA’s sea-viewing wide field-of-view sensor (SeaWiFS) to analyze trends over a ten year period (1998–2007). This data set is a result of a pilot effort, and the methodology will be further refined as part of a NASA Decisions feasibility project.