Thought Leadership

Kicking Off 2019, Strengthening Collaborations, Advancing Machine Learning

As a neutral entity, Radiant Earth Foundation enjoys the unique opportunity to work with diverse partners worldwide and recognizes the important role it plays in engaging and facilitating people, as well as organizations, to work together for the benefit of the development community.

That’s why in December we convened machine learning and remote sensing experts from around the world for an evening of networking and sharing of ideas in Washington. D.C., on the heels of the 2018 American Geophysical Union’s Fall Meeting. Sponsored by Omidyar Network, the community-building event included more than 80 academic, government, business, and non-profit representatives.

News, Thought Leadership

Commercial Entrants are Driving Innovation in Earth Observation — and That is All Good!

In the last installment of this blog series on the value of Earth observation (EO) data, we focused on government supplied satellite data and its use in progressing global development solutions. Government EO data are predominately characterized by high to low spatial resolution, a consistent revisit rate, constant imaging that allows for routine monitoring, and, a deep archive of data to be built up and relied upon (United Nations, 2017, p. 42 and Green et al., 2017, p. 51). In the case of the Landsat and Sentinel programs, the data are open and free to use and hosted on multiple sites globally. These satellites tend to be large, very expensive to build and launch, and can take a decade to go from design to launch and then to operations.

Thought Leadership

Government Satellite Data and Its Role in Advancing Global Development

Understanding our world and the interconnectedness of the natural and built environment is a great challenge to global development professionals as well as scientists and technologists. The role that Earth observation (EO) plays in this understanding is difficult to put in terms of economic value. However, to capture the greatest use from EO, our community is continually challenged to make this information much more accessible and ready for analysis, enabling data-driven development.