Health and the Environment

Source: Understanding Flood Vulnerability: A Case Study of Harris County (StoryMap)

Climate change disproportionately affects the poor and socially vulnerable. The scientific community is responding in its commitment to data and services development that can advance environmental justice. A recent NASA Earthdata Backgrounder profiles some of the work the NASA Socioeconomic Data and Application Center (SEDAC) is doing in this area.

The backgrounder describes a research project focused on the low-wealth, predominately Black community of the Hampton Roads region of Norfolk, VA, which is experiencing rising sea level rise in part because the land area is sinking. SEDAC population data was paired with satellite data to reveal high population density combined with anomalously high sea surface height in this area, identifying high vulnerability. Integrating different types of data in this way lets planners and policymakers make better-informed mitigation decisions that take into consideration social as well as physical impacts of sea-level rise, better insuring environmental justice for vulnerable communities.

In a second example, in collaboration with the International Research Institute for Climate and Society (IRI), SEDAC helped develop an index that assesses flood vulnerability for Harris County, Texas. Taking a multidisciplinary approach to capturing resilience and susceptibility to flooding, 15 indicators were combined into an aggregate index. The tool can visualize flood vulnerability at the block group level for Harris County and analyze relative flood vulnerability across the region, improving prioritization of flood remediation policies and aid.

CIESIN director Robert Chen, with associate director for Science Applications Alex de Sherbinin and research scientist Susana Adamo, helped organize and co-lead a NASA Equity and Environmental Justice virtual workshop, in their respective SEDAC roles as manager, deputy manager, and project scientist. The workshop report was released in December 2021.

SEDAC manager Robert Chen, with deputy manager Alex de Sherbinin and project scientist Susana Adamo, helped organize and co-lead the NASA Equity and Environmental Justice virtual workshop held October 20, 2021. NASA Earth Science Division (ESD) director Karen St. Germain opened the event, which brought together 15 invited experts, including SEDAC User Working Group (UWG) chair Barbara Ryan and several other UWG members, ESD staff, and representatives from social science research organizations who engage with environmental justice (EJ) research and communities. Chen, de Sherbinin, and Adamo co-led several breakout groups, working closely with SEDAC program scientist Nancy Searby and other NASA staff. The workshop report is now available.

In early 2021, a Biden administration executive order on equity directed all federal agencies to incorporate achieving environmental justice in their missions. In June 2021, NASA launched Mission Equity, a comprehensive effort to assess expansion and modification of agency programs, procurements, grants, and policies, and examine potential barriers and challenges for historically underrepresented and underserved communities.

This summer has seen a spate of extreme climate-related events, from record high temperatures to forest fires, floods, and severe storms. Climate and other natural and manmade hazards do not affect all populations equally. Some sub-populations are particularly vulnerable to their effects owing to factors such as low income, lower levels of education, poor housing, or historical inequalities. Parsing out the fine-grained layers of social conditions across the strata of society—how much money people make, who makes up their households, minority status, ability to understand English, dwelling places, and access to transport—can provide the fundamental elements needed to quantify social vulnerability to hazards in the United States. The Centers for Disease Control (CDC) Social Vulnerability Index (SVI), created by the Geospatial Research, Analysis, and Services Program (GRASP) of the Centers for Disease Control and Prevention (CDC) and the Agency for Toxic Substances and Disease Registry (ATSDR), has long been a key resource for local officials to identify communities that may need support before, during, or after hazardous events or disease outbreaks.

To increase the utility of the SVI data set, the NASA Socioeconomic Data and Applications Center (SEDAC) operated by CIESIN gridded the input data and removed uninhabited areas. The resulting data set, the U.S. Social Vulnerability Index (SVI) Grids, enables calculation of the SVI for user-defined areas, facilitating integration with hazard and other geospatial data. The gridded SVI data set uses the same four themes as the CDC/ATSDR index—Socioeconomic, Household Composition and Disability, Minority Status and Language, and Housing Type and Transportation—to rank communities on vulnerability for the entire United States. The SVI data set is based on inputs at the census-tract level for 15 variables for the years 2000, 2010, 2014, 2016, and 2018, and aligns with the Gridded Population of the World (GPW) data set, SEDAC′s flagship data collection.

A map gallery includes an overall SVI map and four maps visualizing each of the themes. Development of the gridded data set and maps was led by Carolynne Hultquist, post-doctoral research scientist at CIESIN.

For the AmeriGEO Week2021 held virtually August 23‒27, Cascade Tuholske, Earth Institute postdoctoral research scientist, gave a pre-recorded presentation, “Urban Extreme Heat Exposure Trajectories in AmeriGEO Countries.” Staff from CIESIN, the International Research Institute (IRI), and Lehman College, and graduate students from Lehman, presented and authored four poster papers. The students are interns working with postdoctoral research scientist Carolynne Hultquist, supported by the NASA Socioeconomic Data and Applications Center (SEDAC) operated by the Center.

For the 2nd Knowledge Discovery and Data Mining (KDD) Workshop on Data-driven Humanitarian Mapping held virtually August 15, Lehman College student Lauren Carey gave a pre-recorded presentation on extracting street-level flood vulnerability data from Google Street View, based on a workshop paper co-authored with fellow students Raychell Velez, Christopher Aime, and Diana Calderon, together with staff from CIESIN, IRI, and Lehman College.

CIESIN through its NASA Socioeconomic Data and Applications Center (SEDAC) has released two new data sets, one characterizing historical air quality over the period 1998–2016, and the second projecting urban land extent into the future through 2100 under different shared Socioeconomic Pathways (SSPs). The first data set, “Annual PM2.5 Concentrations for Countries and Urban Areas, 1998–2016,” provides annual mean estimates of levels of particulate matter (particles with diameters of 2.5 microns or less) in the atmosphere, derived from observations from satellite-based sensors, for countries and urban areas. The national averages are population-weighted. This data set is based on a gridded data set developed by van Donkelaar et al., also available from SEDAC.

The data set “Global One-Eighth Degree Urban Land Extent Projection and Base Year Grids by SSP Scenarios, 2000–2100” was developed by Jing Gao of the University of Delaware and Brian O’Neill, now director of the Joint Global Change Research Institute at the University of Maryland. The data set characterizes global, spatially explicit urban land scenarios consistent with the SSPs, projected from the base year 2000 to the year 2100 at ten-year intervals, with a spatial resolution of one-eighth degree (7.5 arc-minutes). Such projections are key inputs for analyses of land use, energy use, and emissions and assessments of climate change vulnerability, impacts, and adaptation.

The Joint Research Centre (JRC) of the European Commission has released the 2020 edition of the Atlas of the Human Planet, focused on open geoinformation for research, policy, and action, under the auspices of the Human Planet Initiative of the Group on Earth Observations (GEO). This year′s Atlas features more than 30 applications of the georeferenced human settlement and population data in four thematic areas: disaster risk management, urbanization, development, and environment and sustainability. Two of the applications showcased were developed by CIESIN: the Global COVID-19 Viewer operated by the NASA Socioeconomic Data and Applications Center (SEDAC), in “Mapping the COVID-19 Pandemic and Potential Risk Factors,″ and a summary of an update to a 2007 data set available from SEDAC, in “New Estimates of Global Population and Land in the Low Elevation Coastal Zone Using GHSL-based Data Sets.″ The first showcase was prepared by CIESIN director Robert Chen, GIS programmer Kytt MacManus, and associate director for Science Applications Alex de Sherbinin. The second was authored by MacManus, former SEDAC project scientist Deborah Balk of Baruch College, staff associate Hasim Engin, UK demographer Gordon McGranahan, former research staff assistant Rya Inman, and intern Alexandra Hayes.

The JRC organized a virtual launch event January 21 that drew more than 90 participants. The event included 4 short presentations on selected applications, including the Global COVID-19 Viewer example, described by Chen. The Viewer, developed and enhanced in 2020, helps users visualize a range of data on COVID-19 cases and mortality in relationship to spatial data on demographic and environmental factors that may affect exposure and vulnerability, such as age structure, degree of urbanization, air quality, and elevation. Chen and Martino Pesaresi of the JRC are co-leaders of the GEO Human Planet Initiative.

The Global COVID-19 Viewer map from September 25 shows the prevalence of COVID-19 cases, defined as the total number of cases per 100,000 people, for the United States and parts of Canada and Mexico since early in the pandemic.

The latest update to the Global COVID-19 Viewer: Population Estimates by Age Group and Sex features enhanced capabilities for visualizing the status and reach of the pandemic around the world, daily and over time since its beginning, and to identify at-risk populations. A pop-up trends graph illustrates daily and 7-day moving averages of COVID-19 cases and deaths for a range of select time scales—one month, three months, six months, and beyond. The graph may be accessed by simply clicking on a country. User-friendly mapping tools let users define a custom area or fly to a location of interest. Users may also easily move up or down administrative levels in many countries and view demographic and urbanization estimates relevant to possible risk factors for the virus. The Viewer was developed by the NASA Socioeconomic Data and Applications Center (SEDAC) managed by CIESIN. 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. 

Cascade Tuholske has joined CIESIN for a two-year appointment as an Earth Institute postdoctoral research scientist. Tuholske is a geographer specializing in the integration of global-scale human and environment geospatial data to examine the relationship between urbanization and climate change. At CIESIN, he has begun working with director Robert Chen and associate director for Science Applications Alex de Sherbinin to construct a globally extensive, longitudinal, and fine-scale synthesis of extreme heat events, urban population growth, and the urban heat island effect. His goal is to inform adaptation strategies that reduce the harmful and inequitable impacts of urban exposure to extreme heat. He will also contribute to another NASA-funded project on the use of gridded population and settlement datasets to assess progress towards the United Nations Sustainable Development Goals (SDGs). Tuholske received his PhD in geography from the University of California, Santa Barbara, where he focused on the nexus of climate change, urbanization, and food security in Africa under the guidance of Prof. Kelly Caylor.

The NASA Socioeconomic Data and Applications Center (SEDAC) operated by CIESIN has released the 2019 annual update to the Natural Resource Protection Indicators (NRPI) and Child Health Indicators (CHI) together with two new spatial data sets developed by former SEDAC project scientists Christopher Small of the Lamont-Doherty Earth Observatory (LDEO) and Deborah Balk of the City University of New York (CUNY).

Natural Resource Protection and Child Health Indicators, 2019 Release supports the annual country selection process conducted by the Millennium Challenge Corporation (MCC), which bases its selection criteria on a basket of governance, social, economic, and environmental indicators. For 2019, the NRPI covers 234 countries and is calculated based on the weighted average percentage of biomes under protected status. The CHI is a composite index for 195 countries derived from the average of three proximity-to-target scores.

Spatial Data from the 2011 India Census, v1 contains gridded estimates of India′s population at 1-kilometer resolution, with two spatial renderings of urban areas: one based on official tabulations of population and settlement type and the other based on the Global Human Settlement Layer (GHSL). The data set was developed by a team led by former CIESIN research scientist Deborah Balk, who is now associate director of CUNY’s Institute for Demographic Research. It is part of SEDAC′s India Data Collection.

VIIRS Plus DMSP Change in Lights, v1 provides changes in brightness and extent of global nighttime lights networks over two decades (1992, 2002, 2013). The nightime lights imagery was sourced from the U.S. Air Force Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS) and the Suomi National Polar-orbiting Partnership (NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Day-Night Band. It was developed by Christopher Small and several CIESIN geospatial experts. The data set was used to assess urban growth and development in Asian megadeltas, described in a paper published in 2018 in Global and Planetary Change. The data set is part of SEDAC's collection, Satellite-Derived Environmental Indicators.

All of these data are available for free download from SEDAC (registration with Earthdata required). The India and nighttime lights data may be visualized through the SEDAC Map Viewer or open web services.

The NASA Socioeconomic Data and Applications Center (SEDAC) operated by CIESIN has updated two of its online mapping tools with new data and functionality. The latest version of the tool, the SEDAC Global COVID-19 Viewer: Population Estimates by Age Group and Sex, provides new visualizations of COVID-19 data in relationship to population characteristics and other potentially relevant factors. Users may now view rates of COVID-19 cases and mortality per 100k people; age pyramids and population numbers for user-defined areas; trend data on cases at the country, state (province), or county level where available; and more.

The POPGRID Viewer, a tool designed to facilitate visualization and intercomparison of the many different global-scale gridded population data sets now available, has been updated with new and more complete versions of the six population data sets included. Data for two different time periods are now included for three data sets. Users may view any combination of data in a unique four-panel viewer, and then compare population estimates for all six data sets for a specific area of interest. The POPGRID Viewer was developed by SEDAC in support of the POPGRID Data Collaborative, an initiative launched by CIESIN in 2017 to bring together both the developers and users of global georeferenced population data. 

The Population-Environment Research Network (PERN) held an online cyberseminar May 18–25 on analysis of the population-climate change-food security nexus. The cyberseminar was moderated by Raya Muttarak of the University of East Anglia and included statements by seven expert panelists from a range of disciplines. A webinar launching the cyberseminar May 18 was led by Alex de Sherbinin, associate director for Science Applications. He and CIESIN research scientist Susana Adamo are co-coordinators of PERN, which is a panel of the International Union for the Scientific Study of Population (IUSSP) and a sustained partner of Future Earth. PERN is supported by the NASA Socioeonomic Data and Applications Center (SEDAC) operated by CIESIN. A YouTube video of the webinar is available online, and background materials from the cyberseminar are posted on the PERN website.

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.