National Agriculture Imagery Program
PulseAugur coverage of National Agriculture Imagery Program — every cluster mentioning National Agriculture Imagery Program across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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GeoAI workflow maps urban tree canopy and its link to city temperatures
Researchers have developed a new optical GeoAI workflow to assess urban tree canopy cover in Davis, California. This method utilizes high-resolution imagery and deep learning models like DeepForest and Segment Anything …
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GeoAI tutorial details building footprint extraction using U-Net, DINO, SAM, and Mask R-CNN
This tutorial details a GeoAI workflow for extracting building footprints from aerial imagery using a combination of deep learning models. It covers setting up the geospatial environment, training a U-Net model with a R…
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New AI workflow maps farmland extent using satellite imagery and SAM 3
Researchers have developed a new workflow to map farmland extent and boundaries using 1-meter NAIP imagery. The method combines a Residual U-Net model, trained with a Dice-dominant loss, and a Segment Anything Model (SA…
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New dataset CAFOSat aids CAFO mapping with AI
Researchers have developed CAFOSat, a new dataset designed to improve the mapping of Concentrated Animal Feeding Operations (CAFOs) using high-resolution imagery. This dataset integrates satellite imagery with refined a…