@NASA's Global Food Supply & Agriculture Consortium est. 2017 Earth Data for Informed Ag Decisions (Tweets our own, for official NASA comms visit @NASAEarth)

Our August newsletter is out now! • Tracking farmland abandonment & recovery in Ukraine • Brian Barker on El Niño risks in @ForeignPolicy • Responsible AI for food security early warning • @AcresProgram hosts U.S. farmers in D.C. Read it here 👉conta.cc/4xvR9tl
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Harvest retweeted
From studying distant planets at @eapsMIT to tracking crops on Earth: Sheila Baber ’21 uses satellite data through @HarvestProgram to support global food security. 🛰️🌾 bit.ly/4yOmO9W
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Two new open-source models from NASA Harvest and @agmatixhq use satellite-derived NDVI time series to answer two related questions: what stage of growth is a crop in, and how many cropping cycles has a field gone through? 🔗nasaharvest.org/news/nasa-ha…
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The Crop Stage Detection model estimates one of five broad crop stages and is being tested in a near-real-time harvest detection workflow for corn and soybean fields in North Carolina.
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Led by Kenyan government institutions with NASA Harvest, ADAPT-Kenya brings together partners including @gatesfoundation and @MSFTResearch's AI for Good Lab to strengthen Kenya's capacity to produce and use its own agricultural data. 🔗bsos.umd.edu/featured-conten…
What if agricultural data arrived while there was still time to act on it? Our new initiative, ADAPT-Kenya, is building a national system for crop maps, yield forecasts and early warnings using satellite data and AI. 🔗bsos.umd.edu/featured-conten…
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What if agricultural data arrived while there was still time to act on it? Our new initiative, ADAPT-Kenya, is building a national system for crop maps, yield forecasts and early warnings using satellite data and AI. 🔗bsos.umd.edu/featured-conten…
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Where can AI strengthen food security early warning, and where are its limits? NASA Harvest's Inbal Becker-Reshef, Weston Anderson, and colleagues argue for using AI to support, not replace, expert analysis. geog.umd.edu/featured-conten…
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Previous estimates of cropland abandonment in Ukraine have varied widely, partly because fallow and abandoned fields are often grouped together. A new NASA Harvest study separates the two and tracks how farmland has changed during the war.
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Across Ukraine, cultivated cropland fell 8.5% from 2021 to 2024. In 2024, researchers estimated 1.8M hectares were fallow and 2.2M were abandoned, with roughly 1.1–1.7M hectares potentially facing longer-term abandonment.
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NASA satellite data on snow cover and vegetation are helping improve river-flow forecasts used to manage reservoirs, hydropower, and water supplies during a year of snow drought and water extremes in the western U.S. science.nasa.gov/centers-and…
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Can we rely on AI to predict famine? GEOG researchers caution that AI can miss emerging threats + struggle with unreliable data, particularly in conflict zones. They argue for using AI selectively while keeping human experts in the loop, @NatureFoodJnl geog.umd.edu/featured-conten…
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Harvest retweeted
We’re sharing an open data release for the flood that swept through the Bhote Koshi–Trishuli river corridor across the China-Nepal border today. This resource is intended to help support disaster response experts, and will be updated as we capture more imagery of impacted regions. Our thoughts are with the communities affected and the first responders working to respond to this disaster. Access the dataset at: source.coop/planet/disasterd…
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A strong El Niño can disrupt harvests, but the impacts won’t be evenly felt. NASA Harvest and @G20_GEOGLAM’s Brian Barker spoke with @ForeignPolicy about what this year’s event could mean for agriculture around the world. foreignpolicy.com/2026/07/28…
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An 11-year study of Kansas fields found that farmers often switch between low- and high-intensity tillage over time. Our sister consortium @AcresProgram paired field surveys with satellite data to track those shifts and improve large-scale monitoring. 🔗nasaharvest.org/news/nasa-ac…
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Harvest retweeted
Farming information from space 🧑‍🌾🛰️ The @nasa @usgs Landsat and @esa Sentinel-2 satellites can ‘see’ more than human eyes can. Combining near-infrared and visible light data allows us to monitor where crops are growing and how healthy the plants are.
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Smallholder fields in Egypt’s Nile Delta can cycle through crops quickly, making planting & harvest dates hard to track from space. NASA Harvest researchers combined @esa Sentinel-2 & @NASA Landsat data to detect 91% of crop cycles across 42 fields. 📖👉nasaharvest.org/news/bringin…
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