Earth Observations and Machine Learning; Two Complementary Technologies

2019 Second Quarter EO Market Review

For monthly updates, explore EO happenings in April, May, and June.

Over the past three years, Radiant Earth Foundation has used this online publication and our Monthly Market Updates to share with you information on the growth and innovation in the Earth observation (EO) marketplace broadly. We have reported consistently on the increasing supply of EO data from both the public and the private sector. More recently, we have begun to publish on the intersection of Earth observation technology and machine learning techniques, and the opportunities the convergence of these technologies offer. We believe a need exists within the global development community to understand, prepare for, and exploit rapidly-advancing machine learning and Earth observation technologies. These technologies can be game-changing for addressing critical and complex challenges such as food security, climate change, urbanization, and water availability. To support this need, going forward, we will focus our efforts on three strategic goals:

  1. Fostering an open source “Hub” to discover and access EO training datasets and MI models;
  2. Cultivating a community of practice to develop standards around ML on EO and to expand the interoperability of these tools and datasets; and
  3. Raising awareness amongst global development actors, data scientists, and geospatial professionals on the progress and innovation in the ML and EO marketplace.

In future updates, we will share information on the activities we are undertaking to support these goals, and most importantly, that of the broader community to advance the use of Earth observations in support of sustainable development activities.

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