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We looked inside some of the posts by satpaldageospatialservices-blog and here's what we found interesting.
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Geospatial AI or Geo.AI is machine learning, based on geographic components. This is basically integrating geography, location and AI. For conservation planning, we need to do the labor-intensive land cover mapping. Collecting the data with current methods is a time taking and laborious job. Technologies like AIcan help in such cases.
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The pairing of the two satellites optimizes coverage and data delivery for Copernicus. This mission delivers data within three hours of sensing, 24 hours a day, 365 days a year to offer optical remote sensing services using satellite imagery.
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Thermal and infrared satellite imagery has helped improve counting by relating animals’ heat and visibility signatures to given reflectance. Ground observations and GPS data have been used in conjunction with digital aerial triangulation to help validate observations and geolocate detected animals such as white-tailed deer in one study.
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