NASA Harvest News
NASA Harvest Program Director Inbal Becker-Reshef gave a keynote presentation at Planet Explore 2023, highlighting satellite data applications for global food security analyses in the face of a warming climate, conflict & erratic weather events. Watch her full presentation, along with other keynote recordings from the event on the Planet website.
The Point Cloud podcast podcast interviews leaders and innovators at the intersection of climate, agriculture, nature, and technology. Dr. Inbal Becker-Reshef speaks with Agerpoint's James Kotecki about the connections between space technology and agriculture information, and how we glean meaningful insights from remotely sensed data.
In the context of NASA Harvest’s Rapid Action for Agriculture Policy Support (RAAPS) Initiative, the consortium recently hosted a delegation of Ukrainian ministers, agricultural economists, and food security experts for an agricultural monitoring workshop at the University of Strasbourg’s iCube Lab.
NASA Harvest has been named the 2023 winner of the 'Do Good' Planet Purpose Award. A strong consortium partner since 2017, Planet "recognizes those whose work helps bring transparency to our changing world and strives to make it a better place for people and the environment."
Dr. Inbal Becker-Reshef, Harvest Director, gave an invited presentation at the United Nations General Assembly Scientific "Briefing on Food Security and Sustainability Transformation" at the UN Headquarters in New York. Convened by the President of the United Nations General Assembly, the briefing focused on science-based evidence in support of sustainable solutions.
Harvest Africa’s “Helmets Labeling Crops” project aims to partner with agricultural communities and citizens on the ground to increase the amount of training data required for machine learning models that is collected while simultaneously decreasing acquisition costs.
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Upcoming Events
This NASA Applied Remote Sensing Training (ARSET) will be an introduction to the NASA Land Information System (LIS) output of soil moisture at various depths for drought analysis and monitoring. The training will demonstrate how LIS output of soil moisture from a land surface model can be included in traditional drought monitoring applications and enable users to interpret SPoRT-LIS soil moisture percentile products for drought applications.
Harvest Africa joins colleagues at Carnegie Mellon University Africa, Rwanda Space Agency and Clark University to host the 1st Machine Learning for Remote Sensing Workshop during the International Conference on Learning Representations in Kigali, Rwanda. The workshop will stimulate and highlight research on new methods, datasets, and systems for machine learning for remote sensing data, and especially encourages activities in the African context.