Posts tagged gridded population data
The Quest for Fit-for-Purpose Earth Observation and Remote Sensing Data

New data sources and innovative approaches using big data techniques, spatial analysis, predictive modeling, and other technologies are creating a range of new datasets that can help measure and monitor SDG-related targets and indicators. And while data availability is vital to tackling any global agenda, more data does not always guarantee good decision-making. To take meaningful action--whether it be a global crisis, like the COVID-19 pandemic, or the recent earthquake in Haiti--policymakers and other SDG stakeholders must understand what data are fit-for-purpose. Earth observation (EO) and remote sensing products have emerged as an important source of data that present an opportunity to monitor environmental, agricultural, and other SDG-related indicators in fine temporal and spatial resolutions. With the increase of near real-time information, how do users identify the best-suited data source for their application of interest?

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TReNDS' Hayden Dahmm Featured on International Science Council & Nature Podcast

TReNDS' Manager, Hayden Dahmm, was recently featured on "Working Scientist," a podcast series co-hosted by Nature and the International Science Council on the topic of diversity in science. In the episode, Hayden discusses the importance of gridded population data, having accurate and timely data on persons with disabilities, and shares his perspective on how to make sustainable development practices more inclusive.

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Covid-19 and Gridded Population Data: New Models, Data Platforms, and Research Highlights

As we continue to confront the COVID-19 pandemic, one could argue that never before has timely and accurate population data been so critical. Population data is necessary to understand everything from the spread of the virus and who is impacted, to where vulnerable populations are located, and levels of population density for establishing effective social-distancing measures. And gridded population data are playing an important role in helping researchers access this type of information. Gridded population maps distribute data using grid cells, combining census results with additional information, such as geospatial data from satellites, to ensure more frequent and granular estimates, which are vital during a constantly evolving epidemic. In this blog, we explore how gridded population data are being used by researchers to inform the COVID-19 response.

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Gridded Population Data for Sustainable Development: Q&A with SDSN TReNDS' Analyst Hayden Dahmm

In advance of SDSN TReNDS’ webinar on gridded population data with the International Science Council, TReNDS’ Analyst, Hayden Dahmm, spoke with Lizzie Saylor of the International Science Council for a Q & A on how gridded population data can be used to respond to emergencies and move towards achieving the Sustainable Development Goals.

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